Yasin Kaymaz

681 total citations
21 papers, 420 citations indexed

About

Yasin Kaymaz is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Yasin Kaymaz has authored 21 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Plant Science and 5 papers in Cancer Research. Recurrent topics in Yasin Kaymaz's work include Genomics and Phylogenetic Studies (6 papers), Genetic and Environmental Crop Studies (5 papers) and Single-cell and spatial transcriptomics (3 papers). Yasin Kaymaz is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Genetic and Environmental Crop Studies (5 papers) and Single-cell and spatial transcriptomics (3 papers). Yasin Kaymaz collaborates with scholars based in Türkiye, United States and Kenya. Yasin Kaymaz's co-authors include Jeffrey A. Bailey, Ann M. Moormann, John Michael Ong’echa, Cliff I. Oduor, Juliana A. Otieno, Nurdan Kaşıkara Pazarlıoǧlu, Emre Erden, Hongbo Yu, Timothy B. Sackton and Brandon L. Logeman and has published in prestigious journals such as Bioinformatics, The Journal of Immunology and Journal of Virology.

In The Last Decade

Yasin Kaymaz

20 papers receiving 413 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yasin Kaymaz Türkiye 11 206 98 92 78 71 21 420
Yunchao Wang China 15 226 1.1× 42 0.4× 162 1.8× 106 1.4× 45 0.6× 58 593
Fan Dai China 15 228 1.1× 160 1.6× 30 0.3× 42 0.5× 29 0.4× 42 573
Vikneswari Rajasegaran Singapore 15 299 1.5× 101 1.0× 86 0.9× 145 1.9× 140 2.0× 20 634
Takahiro Kimura Japan 9 248 1.2× 219 2.2× 95 1.0× 54 0.7× 29 0.4× 37 489
Dan Hu China 13 359 1.7× 52 0.5× 82 0.9× 260 3.3× 27 0.4× 31 519
Melissa S. McNulty United States 13 470 2.3× 59 0.6× 89 1.0× 68 0.9× 73 1.0× 19 702
Jeong Soo Hong South Korea 9 226 1.1× 69 0.7× 60 0.7× 41 0.5× 40 0.6× 19 467
Dhivyaa Rajasundaram United States 13 215 1.0× 71 0.7× 32 0.3× 47 0.6× 13 0.2× 37 434
Ulrike Bönisch Germany 8 405 2.0× 42 0.4× 66 0.7× 67 0.9× 17 0.2× 16 641
Zhi‐Xia Yang China 11 255 1.2× 29 0.3× 37 0.4× 51 0.7× 37 0.5× 25 427

Countries citing papers authored by Yasin Kaymaz

Since Specialization
Citations

This map shows the geographic impact of Yasin Kaymaz'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 Yasin Kaymaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasin Kaymaz more than expected).

Fields of papers citing papers by Yasin Kaymaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yasin Kaymaz. 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 Yasin Kaymaz. The network helps show where Yasin Kaymaz may publish in the future.

Co-authorship network of co-authors of Yasin Kaymaz

This figure shows the co-authorship network connecting the top 25 collaborators of Yasin Kaymaz. A scholar is included among the top collaborators of Yasin Kaymaz 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 Yasin Kaymaz. Yasin Kaymaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kazan, Hilal, et al.. (2025). Transcriptional states of lung cancer microenvironment reveal macrophage subtype dynamics linked to disease progression. The Journal of Immunology. 214(12). 3273–3282.
2.
Kaymaz, Yasin, et al.. (2023). The complete sequence of Lens tomentosus chloroplast genome. Acta Physiologiae Plantarum. 46(1). 2 indexed citations
3.
Kaymaz, Yasin, et al.. (2023). Complete chloroplast genome of Lens lamottei reveals intraspecies variation among with Lens culinaris. Scientific Reports. 13(1). 14959–14959. 1 indexed citations
4.
Kaymaz, Yasin, et al.. (2023). The complete chloroplast genome of Cicer reticulatum and comparative analysis against relative Cicer species. Scientific Reports. 13(1). 17871–17871. 3 indexed citations
5.
6.
Kaymaz, Yasin, et al.. (2022). The Complete Chloroplast Genome Sequence of Cicer bijugum, GenomeOrganization, and Comparison with Related Species. Current Genomics. 23(1). 50–65. 5 indexed citations
7.
Kaymaz, Yasin, et al.. (2022). Complete chloroplast genome sequence of Lens ervoides and comparison to Lens culinaris. Scientific Reports. 12(1). 15068–15068. 4 indexed citations
8.
Kaymaz, Yasin, et al.. (2021). HieRFIT: a hierarchical cell type classification tool for projections from complex single-cell atlas datasets. Bioinformatics. 37(23). 4431–4436. 6 indexed citations
9.
Kaymaz, Yasin, Brandon L. Logeman, Stephen W. Eichhorn, et al.. (2020). Evaluating single-cell cluster stability using the Jaccard similarity index. Bioinformatics. 37(15). 2212–2214. 59 indexed citations
10.
Kaymaz, Yasin, Cliff I. Oduor, Özkan Aydemir, et al.. (2020). Epstein-Barr Virus Genomes Reveal Population Structure and Type 1 Association with Endemic Burkitt Lymphoma. Journal of Virology. 94(17). 24 indexed citations
11.
Özata, Deniz M., Tianxiong Yu, Haiwei Mou, et al.. (2019). Evolutionarily conserved pachytene piRNA loci are highly divergent among modern humans. Nature Ecology & Evolution. 4(1). 156–168. 68 indexed citations
12.
Kaymaz, Yasin, Cliff I. Oduor, Hongbo Yu, et al.. (2017). Comprehensive Transcriptome and Mutational Profiling of Endemic Burkitt Lymphoma Reveals EBV Type–Specific Differences. Molecular Cancer Research. 15(5). 563–576. 75 indexed citations
13.
Oduor, Cliff I., Mercedeh Movassagh, Yasin Kaymaz, et al.. (2017). Human and Epstein-Barr Virus miRNA Profiling as Predictive Biomarkers for Endemic Burkitt Lymphoma. Frontiers in Microbiology. 8. 501–501. 23 indexed citations
14.
Falanga, Yves T., Michela Frascoli, Yasin Kaymaz, et al.. (2017). High pathogen burden in childhood promotes the development of unconventional innate-like CD8+ T cells. JCI Insight. 2(15). 17 indexed citations
15.
Kaymaz, Yasin, et al.. (2017). FLT1 and transcriptome-wide polyadenylation site (PAS) analysis in preeclampsia. Scientific Reports. 7(1). 12139–12139. 37 indexed citations
16.
Oduor, Cliff I., Yasin Kaymaz, Kiprotich Chelimo, et al.. (2017). Integrative microRNA and mRNA deep-sequencing expression profiling in endemic Burkitt lymphoma. BMC Cancer. 17(1). 761–761. 24 indexed citations
17.
Kaymaz, Yasin, Cliff I. Oduor, Juliana A. Otieno, et al.. (2017). Comprehensive Transcriptome and Mutational Profiling of Endemic Burkitt Lymphoma Reveals EBV Type–Specific Differences. Molecular Cancer Research. 15(5). 563–576. 2 indexed citations
18.
Kaymaz, Yasin, et al.. (2012). Biodegradation kinetics of o-cresol by Pseudomonas putida DSM 548 (pJP4) and o-cresol removal in a batch-recirculation bioreactor system. Electronic Journal of Biotechnology. 15(1). 16 indexed citations
19.
Erden, Emre, Yasin Kaymaz, & Nurdan Kaşıkara Pazarlıoǧlu. (2011). Biosorption kinetics of a direct azo dye Sirius Blue K-CFN by Trametes versicolor. Electronic Journal of Biotechnology. 14(2). 29 indexed citations
20.
Erden, Emre, et al.. (2009). New and different lignocellulosic materials from Turkey for laccase and manganese peroxidase production by Trametes versicolor. Engineering in Life Sciences. 9(1). 60–65. 14 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.

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