Nihat Baysal

45 total papers · 684 total citations
20 papers, 359 citations indexed

About

Nihat Baysal is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Nihat Baysal has authored 20 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 9 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Genetics. Recurrent topics in Nihat Baysal's work include Diabetes Management and Research (9 papers), Pancreatic function and diabetes (9 papers) and Diabetes and associated disorders (5 papers). Nihat Baysal is often cited by papers focused on Diabetes Management and Research (9 papers), Pancreatic function and diabetes (9 papers) and Diabetes and associated disorders (5 papers). Nihat Baysal collaborates with scholars based in United States, Türkiye and Australia. Nihat Baysal's co-authors include B. Wayne Bequette, Deniz Rende, Bruce A. Buckingham, Daniel P. Howsmon, Gregory P. Forlenza, Trang T. Ly, David M. Maahs, Faye Cameron, Rahmi Ozisik and Carol J. Levy and has published in prestigious journals such as PLoS ONE, Diabetes Care and Macromolecules.

In The Last Decade

Nihat Baysal

19 papers receiving 355 citations

Author Peers

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

Author						Papers	Cites
Nihat Baysal	215	172	130	40	38	20	359
M. Militaru	63 0.3×	113 0.7×	56 0.4×	9 0.2×	73 1.9×	23	317
Ponnandy Prabhu	166 0.8×	105 0.6×	18 0.1×	11 0.3×	57 1.5×	23	396
Leilei Xin	42 0.2×	56 0.3×	36 0.3×	5 0.1×	44 1.2×	25	331
Pankaj Modi	189 0.9×	90 0.5×	60 0.5×	4 0.1×	11 0.3×	19	334
Abhay Srivastava	58 0.3×	112 0.7×	29 0.2×	15 0.4×	70 1.8×	36	394
Tushar Madaan	89 0.4×	45 0.3×	20 0.2×	12 0.3×	53 1.4×	16	389
Rina Hayashi	94 0.4×	28 0.2×	25 0.2×	12 0.3×	17 0.4×	30	341
Ying Chao	36 0.2×	47 0.3×	27 0.2×	15 0.4×	45 1.2×	19	348
Xiao Hong	24 0.1×	15 0.1×	59 0.5×	43 1.1×	9 0.2×	26	365
Weiwei Miao	107 0.5×	21 0.1×	39 0.3×	9 0.2×	15 0.4×	27	324

Countries citing papers authored by Nihat Baysal

Since Specialization

Citations

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

Fields of papers citing papers by Nihat Baysal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nihat Baysal

This figure shows the co-authorship network connecting the top 25 collaborators of Nihat Baysal. A scholar is included among the top collaborators of Nihat Baysal 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 Nihat Baysal. Nihat Baysal 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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