A Bibliometric Analysis of Scientific Publications on Plant Bacterial Diseases (2015-2025)

Yıl 2025, Cilt: 14 Sayı: 2, 204 - 215, 29.12.2025

Nurhan Öztürk

https://doi.org/10.29278/azd.1747772

Öz

Objective: This study aims to bibliometrically analyze scientific literature on plant bacterial diseases from 2015 to 2025. By evaluating publication volume, citation impact, keyword trends, journal distribution, and international collaboration, it seeks to reveal research dynamics in plant health and microbial biotechnology, offering insights for future directions in agricultural science.
Material and Method: A total of 18246 records were retrieved from the Web of Science Core Collection using the search term “bacterial diseases and plant” in March 2025. The data were analyzed in R-Studio using the "bibliometrix" and "biblioshiny" packages. Key metrics such as annual publication trends, author productivity, country-level output, citation impact, and keyword evolution were evaluated.
Results: The number of publications increased steadily, especially after 2020, though growth plateaued slightly in recent years. China, the USA, and India were the leading countries in terms of publication volume. However, when citation impact is considered, the USA and several European countries, such as Germany and the UK, ranked higher. Authors like SHEN, QIRONG and JONES, JEFFREY B. were notable for both productivity and influence. A large portion of the publications appeared in a limited number of journals, with an international collaboration rate exceeding 30%. Keyword analysis highlighted persistent themes such as “identification,” “disease,” and “resistance,” while recent terms like “oxide nanoparticles” and “polyphenols” reflected growing interest in innovative biotechnological approaches.
Conclusion: The findings demonstrate the expansion and diversification of research on plant bacterial diseases. The integration of classical phytopathology with emerging biotechnology indicates a shift toward more interdisciplinary and impactful scientific approaches, supporting strategic planning in plant protection and agricultural sustainability.

Anahtar Kelimeler

Plant , Baterial diseases , Bibliomectric analysis

Bakteriyel Hastalıkları Üzerine Bilimsel Yayınların Bibliyometrik Analizi (2015–2025)

Öz

Amaç: Bu çalışma, 2015-2025 yılları arasında bitki bakteriyel hastalıkları üzerine yapılan bilimsel literatürü bibliyometrik olarak analiz etmeyi amaçlamaktadır. Yayın hacmi, atıf etkisi, anahtar kelime eğilimleri, dergi dağılımı ve uluslararası iş birliği gibi kriterler incelenerek bitki sağlığı ve mikrobiyal biyoteknoloji alanındaki araştırma dinamikleri ortaya konulmuş ve tarım bilimlerinde gelecekteki araştırma yönelimlerine yönelik içgörüler sunulmuştur.
Materyal ve Yöntem: Mart 2025’te “bacterial diseases and plant” (bitki bakteriyel hastalıkları) anahtar kelimesiyle Web of Science Core Collection veritabanından toplam 18246 kayıt elde edilmiştir. Veriler, R-Studio ortamında “bibliometrix” ve “biblioshiny” paketleri kullanılarak analiz edilmiştir. Yıllık yayın trendleri, yazar üretkenliği, ülke bazında üretim, atıf etkisi ve anahtar kelime evrimi gibi temel metrikler değerlendirilmiştir.
Bulgular: Yayın sayıları özellikle 2020’den sonra düzenli bir artış göstermiş, ancak son yıllarda hafif bir duraklama gözlenmiştir. Yayın hacmi açısından Çin, ABD ve Hindistan öncü ülkeler olurken, atıf etkisi bakımından ABD ile Almanya ve İngiltere gibi bazı Avrupa ülkeleri daha üst sıralarda yer almıştır. SHEN, QIRONG ve JONES, JEFFREY B. gibi yazarlar hem üretkenlik hem de etki açısından öne çıkmıştır. Yayınların büyük bir kısmı sınırlı sayıda dergide toplanmış ve uluslararası iş birliği oranı %30’u aşmıştır. Anahtar kelime analizinde “identification” (tanımlama), “disease” (hastalık) ve “resistance” (direnç) gibi temel temalar devam ederken, “oxide nanoparticles” (oksit nanopartiküller) ve “polyphenols” (polifenoller) gibi yeni terimler biyoteknolojik yeniliklere olan ilginin arttığını göstermiştir.
Sonuç: Çalışma, bitki bakteriyel hastalıkları alanındaki araştırmaların büyüme ve çeşitlenmesini ortaya koymaktadır. Klasik fitopatoloji yaklaşımlarının yeni biyoteknoloji alanlarıyla entegrasyonu, disiplinlerarası ve etkili bilimsel yaklaşımlara doğru bir kaymayı yansıtarak, bitki koruma ve tarımsal sürdürülebilirlikte stratejik planlama için değerli rehberlik sağlamaktadır.

Anahtar Kelimeler

Bitki , Bakteriyel hastalıklar , Bibliyometrik analiz

Kaynakça

• Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975.
• Basim, E., & Basim, H. (2018). Characterization of Pseudomonas tolaasii isolates, causing Brown blotch disease of mushroom (Agaricus bisporus). International Journal of Agriculture and Biology. 20(12), 2721-30.
• Basim, H., Basim, E., & Ersoy, A. (2019). Phenotypic And Genotypic Characterizatıon Of Pseudomonas Savastanoi Pv. Savastanoi Causıng Olıve Knot Dısease In Turkey. Applied Ecology And Environmental Research , 17(6), 14927-14944.
• Bhattacharjee, S., Panja, A., Panda, M., Dutta, S., Dutta, S., Kumar, R., Kumar, D., Yadav, M.R.R., Minkina, T., Kalinitchenko, V.P., Singh, R.K.K., & Rajput, V.D. (2023). How Did Research on Conservation Agriculture Evolve over the Years? A Bibliometric Analysis. Sustainability, 15(3), 2040.
• Borkar, S.G., & Rupert, A.Y. (2017). Bacterial Diseases of Crop Plants. CRC Press.
• Carrión, V. J., Perez‐Jaramillo, J. Cordovez, V., Tracanna, V., de Hollander, M., Ruiz‐Buck, D., Mendes, L. W., van Wezel, G.P. Medema, M. H., & Raaijmakers, J. M. (2019). Pathogen-induced activation of disease-suppressive functions in the endophytic root microbiome. Science, 366(6465), 606–612.
• Critchfield, T. S. (2002). Evaluating the Function of Applied Behavior Analysis: A Bibliometric Analysis. Journal of Applied Behavior Analysis, 35(4), 423-426.
• Cole, F.J., & Eales, N.B. (1917). The history of comparative anatomy. Part I: A statistical analysis of the literature. Science Progress, 578-596.
• Compant, S., Samad, A., Faist, H., & Sessitsch A. (2019). A review on the application of endophytes in plant protection: Current state and future directions. Journal of Advanced Research, 19, 29–37.
• Cui, H. T., Tsuda, K., & Parker, J. E. (2015). Effector-triggered immunity: From pathogen perception to robust defense. Annual Review of Plant Biology, 66, 487–511.
• Demissie, Y.T. (2019). Diagnosis of Fungal and Bacterial Diseases by Symptom and Sign. American Journal of Plant Biology, 4(4), 57-66.
• Donohue, J.C. (1972). A Bibliometric Analysis of Certain Information Science Literature. Journal of the American Society for Information Science, 23(5), 313 317.
• Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W.M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296.
• Edwards, J., Johnson C., Santos-Medellín, C., Lurie, E., Podishetty, N.K., Bhatnagar, S., Eisen, J.A., & Sundaresan, V. (2015). Structure, variation, and assembly of the root-associated microbiomes of rice. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 112(8), 911-920.
• Ellegaard, O., & Wallin, J. A. (2015). The bibliometric analysis of scholarly production: How great is the impact? Scientometrics, 105(3), 1809-1831.
• Erturgut, R., & Gürler, H. E. (2020). Last decade of reverse logıstıcs theory and applicatıons: a bibliometric analysıs. International Journal of Economic and Administrative Studies, 28, 25-46.
• Feng, J. (2017). Recent Advances in Taxonomy of Plant Pathogenic Bacteria. Scientia Agricultura Sinica, 50(12):2305-2314.
• Fones, H. N., & Preston, G.M. (2012). Reactive oxygen and oxidative stress tolerance in plant pathogenic Pseudomonas. FEMS Microbiol Lett, 327, 1-8.
• Forootan, A., Sjöback, R., Björkman, J., Sjögreen, B., Linz, L., & Kubista, M. (2017). Methods to determine limit of detection and limit of quantifcation in quantitative real-time PCR (qPCR). Biomol Detect Quantif 12,1-6
• Fu, H. Z., Ho, Y. S., Sui, Y. M., & Li, Z. S. (2010). A Bibliometric Analysis of Solid Waste Research During the Period 1993-2008. Waste Management, 30(12), 2410-2417.
• Górniak, I., Bartoszewski, R., & Króliczewski, J. (2019). Phytochemicals as antimicrobial agents: A review. Phytochemistry Reviews, 18, 241–272.
• Grady, E. N., Macdonald, J., Liu, L., Richman, A., & Yuan, Z.C. (2016). Current knowledge and perspectives of Paenibacillus: A review. Microbial Cell Factories, 15, 203.
• Gross, P. L. K., & Gross, E. M. (1927). College libraries and chemical education. Science, 66(1713), 385-389.
• Henson, J. M., & French, R. (1993). The polymerase chain reaction and plant disease reaction. Annual Review of Phytopathology. 31, 81-109.
• Hançer, A. (2025). Bibliometric Analysis of Studies on Food and Nanotechnology between 2002-2024. Journal of Yüzüncü Yıl University Institute of Science and Technology, 30(1), 191-205.
• Hidayatullah, T., Suliansyah, I., Swasti, E., & Putri, N. E. (2023). A Bibliometric Analysis of Hybrid Maize Research using VOSviewer. Jurnal Biologi Tropis, 23(1), 459-468.
• Jones, J.B., Pohronezny, K.L., Stall, R.E., & Jones, J.P. (1986). Survival of Xanthomonas campestris pv. vesicatoria in Florida on tomato crop residue, weeds, seeds, and volunteer tomato plants. Phytopathology, 76, 430-434.
• Jones, C.D., Jones, J.B., & Lee, W.S. (2010). Diagnosis of bacterial spot on tomato using spectral signatures. Computers and Electronic Agriculture, 74, 329-335.
• Jones, J.D.G., Vance, R.E., & Dangl, J.L. (2016). Intracellular innate immune surveillance devices in plants and animals. Science, 354(6316).
• Keel, C., Voisard, C., Berling, C. H., Kahr, G., & Defago, G. (1989). Iron sufficiency is a prerequisite for suppression of tobacco root rot by a Pseudomonas fluorescens strain CHA0 under Gnotobiotic Conditions. Phytopathology, 79, 584-589.
• Khan, M.R., & Rizvi, T.F. (2014). Nanotechnology: Scope and Application in Plant Disease Management. Journal of Plant Pathology, 214-231.
• Kiki, M.P.A.F., Ahouandjinou, S.A.R.M., Assogba, K.M., & Sutikno, T. (2024). Bibliometric analysis and survey on electronic nose used in agriculture. International Journal of Electrical and Computer Engineering, 14(2), 1369-1381.
• Lacey, L. A., Grzywacz D., Shapiro-Ilan, D.I., Frutos, R., Brownbridge, M. & Goettel, M.S. (2015). Insect pathogens as biological control agents: Back to the future. Journal of Invertebrate Pathology, 132, 1–41.
• Lanteigne, C., Gadkar, V.J., Wallon, T., Nomura, K., Koczan, Melotto, J.K.M., He, S.Y., & Koczan, M. (2012). Suppression of host defense in compatible plant-Pseudomonas syringae interactions. Current Opinion in Plant Biology, 8(8), 361-368.
• Loper, J.E., Hassan, K.A., Mavrodi, D.V., Davis, E.W., Lim, C.K., Shaffer, B.T., & Paulsen, I.T. (2007). The antifugal metabolite 2,4-diacetylphloroglucinol play a major role in the biocontrol capabilities of Pseudomonas fluorescens. An Effective Biocontrol Agent. Molecular Plant-Microbe Interactions 5, 4-13.
• López-Serrano, M.J., Velasco-Muñoz, J.F., Aznar-Sánchez, J.A., & Román-Sánchez, I.M. (2020). Sustainable Use of Wastewater in Agriculture: A Bibliometric Analysis of Worldwide Research. Sustainability, 12(21), 8948.
• Mansfield, J., Genin, S., Magori, S., Citovsky, V., Sriariyanum, M., Ronald, P., Dow, M., Verdier, V., Beer, S. V., Toth, I., Salmond, G., & Foster, G. D. (2012). Top 10 plant pathogenic bacteria in molecular plant pathology. Molecular Plant Pathology, 13(6), 614-629.
• Martin, R. R., James, D., & Lévesque, C. A. (2000). Impacts of molecular diagnostic technologies on plant disease management. Annual Review of Phytopathology, 38, 207-239.
• Öncü, F., Yeşil, S., & Baştaş, K. K. (2022). Climate Change and Plant Health: A Bibliometric Analysis. Selcuk Journal of Agriculture and Food Sciences, 36(Special Issue), 27-32.
• Pritchard, L., Glover, R. H., Humphris, S., Elphinstoneb, J. G., & Tothc, I. K. (2016). Genomics and taxonomy in diagnostics for food security: Soft-rotting enterobacterial plant pathogens. Analytical Methods, 8(1), 12–24. Schaad, N. W., & Frederick, R. D. (2002). Real-time PCR and its application for rapid plant disease diagnostics. Canadian Journal of Plant Pathology, 24(3), 250-258.
• Sendhil, R., Nyika, J., Yadav, S., Mackolil. J., Prashat, R. Workie, E., Ragupathy, R., & Ramasundaram, P. (2022). Genetically modified foods: Bibliometric analysis on consumer perception and preference. GM Crops and Food, 13(1), 65-85.
• Sisodia, R., & Sharma, R. (2022). Bibliometric Analysis of Peer-Reviewed Literature on Stress Factors Affecting Agricultural Productivity. Current Agriculture Research Journal, 10(3), 170-180.
• Sobiczewski, P. (2008). Bacterial diseases of plants: epidemiology, diagnostics and control. Zemdirbyste-Agriculture, 95(3), 151-157.
• Sinha, N., & Dhillon, J. S. (2024). Bibliometric analysis of manage-ment practices in US corn (1990-2020). Agrosystems, Geosciences & Environment, 7, e20536.
• Sterie, C.M., Petre, L. I., Stoica, G.D., & Dumitru, E.A. (2023). Assessing the Impact of Digitisation on Progress in Agriculture: A Bibliometric Analysis. Proceedings of the 18th International Conference on Business Excellence, 1724-1733.
• Soysal, A.N. (2022). Bibliometric Analysis of Studies on Service Innovation. Dumlupınar University Journal of Social Sciences, 72, 142-158.
• Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a Methodology for Developing Evidence-Informed Management Knowledge. British Journal of Management, 14, 207-222.
• Turgut, A., & Basim, H. (2021). Development of a real-time PCR assay using locked nucleic acid probe for the detection of octopine, nopaline, and vitopine strains of tumorigenic Allorhizobium vitis in grapevines. Crop Protection, 145,105620.
• Ulu, S., & Akdag, M. (2015). Bibliometric profile of the articles with peer refereeing published in journals: Selcuk communication sample, 9(1), 5-21.
• Ward, E., Foster, S.J., Fraaije, B.A., & McCartney, H.A. (2004). Plant pathogen diagnostics: immunological and nucleic acid-based approaches. Annals of Applied Biology, 145(1), 1-16.
• Yang, C., Wallace, R.J., & Huang, C. (2024). A Review and Bibliometric Analysis of Unmanned Aerial System (UAS) Noise Studies Between 2015 and 2024. Acoustics, 6(4), 997-1020.
• Yu, H., Wei, Y. M., Tang, B. J., Mi, Z., & Pan, S. Y. (2016). Assessment on the Research Trend of Low-Carbon Energy Technology Investment: A Bibliometric Analysis. Applied Energy, 184, 960 970.
• Zarraonaindia, I., Owens S. M., Weisenhorn, P., West, K., Hampton-Marcell, J., Lax, S., Bokulich, N. A., Mills, D. A., Martin, G., Taghavi, S., van der Lelie, D., & Gilbert, J. A. (2015). The soil microbiome influences grapevine-associated microbiota. mBio, 6(2), e02527-14.
• Zhu, S., Jin, W., & He, C. (2019). On Evolutionary Economic Geography: A Literature Review Using Bibliometric Analysis. European Planning Studies, 27(4), 639-660.
• Zhang, M., Gao, M., Yue, S., Zheng, T., Gao, Z., Ma, X., & Wang, Q. (2018). Global trends and future prospects of food waste research: a bibliometric analsis. Environmental Science and Pollution Research, 25, 24600-24610.