Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Production of secondary metabolites using tissue culture-based biotechnological applications
This map shows the geographic impact of Yılmaz Kaya's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yılmaz Kaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yılmaz Kaya more than expected).
This network shows the impact of papers produced by Yılmaz Kaya. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yılmaz Kaya. The network helps show where Yılmaz Kaya may publish in the future.
Co-authorship network of co-authors of Yılmaz Kaya
This figure shows the co-authorship network connecting the top 25 collaborators of Yılmaz Kaya.
A scholar is included among the top collaborators of Yılmaz Kaya based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Yılmaz Kaya. Yılmaz Kaya is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Turan, Metin, Ö. Cengız, Yılmaz Kaya, et al.. (2019). EFFECTS OF PHOSPHOGYPSUM WASTE APPLICATION ON CORN (ZEA MAYS L.) YIELD AND NUTRIENT CONTENTS. Fresenius environmental bulletin. 28. 8814–8822.1 indexed citations
Özçimen, Didem, Yılmaz Kaya, Hasan Murat Aksoy, et al.. (2019). Isolation of Blastomonas sp. from Horseshoe Island, Skua Lake, Antarctica, YTU.POLAR.001, MN384971.1 indexed citations
12.
Aksoy, Hasan Murat, et al.. (2018). Patates Bitkisinde Biyoteknolojik Çalışmalar. Van Yüzüncü Yıl University Academic Data Management System. 1(1). 37–47.3 indexed citations
13.
Kaya, Yılmaz, et al.. (2017). Kır Çeltik Bitkisi. Yüzüncü Yıl Üniversitesi Tarım Bilimleri Dergisi. 27(1). 151–156.4 indexed citations
14.
Aksoy, Hasan Murat, et al.. (2015). Isolation and characterization of Bacillus thuringiensis isolated from soil and their possible impact on Culex pipiens larvae.. Egyptian Journal of Biological Pest Control. 25(2). 439–444.2 indexed citations
15.
Kaya, Yılmaz, et al.. (2013). Herbicide tolerance genes derived from bacteria. The Journal of Animal and Plant Sciences. 23(1). 85–91.8 indexed citations
16.
Kaya, Yılmaz, et al.. (2013). Transformation of nicotiana tabacum with dehe gene. Journal of Food Agriculture & Environment. 11. 777–780.10 indexed citations
17.
Kaya, Yılmaz & Ramazan Teki̇n. (2012). Epileptik Nöbetlerin Tespiti için Aşırı Öğrenme Makinesi Tabanlı Uzman Bir Sistem. DergiPark (Istanbul University). 5(2). 33–40.3 indexed citations
18.
Özgökçe, Mehmet Salih, et al.. (2011). Investigation of the effects of physico-chemical environmental conditions on population fluctuations of Notonecta viridis Delcourt, 1909 (Hemiptera: Notonectidae) in Van Lake by using Zero-inflated generalized Poisson regression.. DergiPark (Istanbul University). 35(2). 325–338.1 indexed citations
19.
Kaydan, Mehmet Bora, et al.. (2010). Modeling Insect-Egg Data with Excess Zeros using Zero-Inflated Regression Models. DergiPark (Istanbul University).16 indexed citations
20.
Kaya, Yılmaz, et al.. (2010). Analysis of Plant Protection Studies with Excess Zeros Using Zero-Inflated and Negative Binomial Hurdle Models. Gazi university journal of science. 23(2). 131–136.5 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.