Suat Akgün

23 total papers · 849 total citations
21 papers, 664 citations indexed

About

Suat Akgün is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Suat Akgün has authored 21 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Epidemiology. Recurrent topics in Suat Akgün's work include Liver Disease Diagnosis and Treatment (5 papers), Diet, Metabolism, and Disease (4 papers) and Sexual Differentiation and Disorders (3 papers). Suat Akgün is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Diet, Metabolism, and Disease (4 papers) and Sexual Differentiation and Disorders (3 papers). Suat Akgün collaborates with scholars based in United States and Türkiye. Suat Akgün's co-authors include Norman H. Ertel, Martin G. Goldner, Daniel Rudman, Julianne Imperato‐McGinley, Cedric Shackleton, Anne C. Mosenthal, Luis Garcı́a, Alejandro del Río, J. C. Mittler and Bekir Sıtkı Şaylı and has published in prestigious journals such as Science, New England Journal of Medicine and Circulation.

In The Last Decade

Suat Akgün

21 papers receiving 563 citations

Author Peers

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

Author						Papers	Cites
Suat Akgün	229	221	137	115	89	21	664
Sheon Mary	263 1.1×	126 0.6×	88 0.6×	58 0.5×	90 1.0×	30	664
Berthil H.C.M.T. Prinsen	103 0.4×	273 1.2×	117 0.9×	123 1.1×	59 0.7×	23	701
Shuli He	150 0.7×	152 0.7×	144 1.1×	153 1.3×	147 1.7×	32	677
Federica Romitelli	115 0.5×	119 0.5×	155 1.1×	100 0.9×	68 0.8×	21	706
P. Tutt	149 0.7×	215 1.0×	56 0.4×	76 0.7×	146 1.6×	24	597
Rena Pollack	275 1.2×	158 0.7×	103 0.8×	89 0.8×	142 1.6×	32	672
Antonia Priego	343 1.5×	142 0.6×	162 1.2×	89 0.8×	183 2.1×	22	761
R Nicolaysen	138 0.6×	99 0.4×	133 1.0×	178 1.5×	46 0.5×	26	782
Eric D. Labonté	120 0.5×	283 1.3×	95 0.7×	263 2.3×	51 0.6×	14	676
Yan-Hong Pan	197 0.9×	152 0.7×	83 0.6×	132 1.1×	94 1.1×	26	695

Countries citing papers authored by Suat Akgün

Since Specialization

Citations

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

Fields of papers citing papers by Suat Akgün

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suat Akgün

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