Guray Kuzu

19 total papers · 989 total citations
17 papers, 605 citations indexed

About

Guray Kuzu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Guray Kuzu has authored 17 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 4 papers in Genetics. Recurrent topics in Guray Kuzu's work include Computational Drug Discovery Methods (5 papers), Genomics and Chromatin Dynamics (4 papers) and Bioinformatics and Genomic Networks (4 papers). Guray Kuzu is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Genomics and Chromatin Dynamics (4 papers) and Bioinformatics and Genomic Networks (4 papers). Guray Kuzu collaborates with scholars based in United States, Türkiye and Israel. Guray Kuzu's co-authors include Attila Gürsoy, Özlem Keskin, Ruth Nussinov, Michael Tolstorukov, Erica Larschan, Matthew J. Foglia, Joseph Goldman, Jennifer A. Urban, Amy L. Dickson and Ravi Karra and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Genes & Development.

In The Last Decade

Guray Kuzu

16 papers receiving 598 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Guray Kuzu	499	82	61	56	52	17	605
Susan M. Boyd	384 0.8×	36 0.4×	62 1.0×	51 0.9×	46 0.9×	11	534
Chen Chen	364 0.7×	38 0.5×	49 0.8×	35 0.6×	17 0.3×	28	526
Ronak Y. Patel	425 0.9×	98 1.2×	34 0.6×	27 0.5×	36 0.7×	27	554
Robert R. Lavieri	439 0.9×	61 0.7×	29 0.5×	53 0.9×	49 0.9×	17	675
Jie Rao	469 0.9×	87 1.1×	18 0.3×	41 0.7×	93 1.8×	11	587
Piya Lahiry	379 0.8×	122 1.5×	18 0.3×	36 0.6×	32 0.6×	16	642
J. Bradley Holmes	518 1.0×	54 0.7×	23 0.4×	31 0.6×	22 0.4×	13	588
Mary Szatkowski Ozers	342 0.7×	128 1.6×	24 0.4×	21 0.4×	24 0.5×	15	539
E. Allen Sickmier	458 0.9×	59 0.7×	14 0.2×	48 0.9×	23 0.4×	18	617
Shagufta H. Khan	376 0.8×	286 3.5×	30 0.5×	51 0.9×	41 0.8×	19	670

Countries citing papers authored by Guray Kuzu

Since Specialization

Citations

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

Fields of papers citing papers by Guray Kuzu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guray Kuzu

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

All Works

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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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