Yağız Üresin

39 total papers · 1.3k total citations
23 papers, 918 citations indexed

About

Yağız Üresin is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yağız Üresin has authored 23 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Cardiology and Cardiovascular Medicine and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yağız Üresin's work include Hormonal Regulation and Hypertension (9 papers), Renin-Angiotensin System Studies (8 papers) and Blood Pressure and Hypertension Studies (6 papers). Yağız Üresin is often cited by papers focused on Hormonal Regulation and Hypertension (9 papers), Renin-Angiotensin System Studies (8 papers) and Blood Pressure and Hypertension Studies (6 papers). Yağız Üresin collaborates with scholars based in Türkiye, Switzerland and United States. Yağız Üresin's co-authors include Tolgay Ergenoğlu, Hüseyin Beydağı, Mehmet Ergen, Zübeyir Bayraktaroğlu, Tamer Demıralp, Diethelm Tschöpe, Andrew Satlin, Addison A. Taylor, Charles Kilo and Massimo Santonastaso and has published in prestigious journals such as Life Sciences, Pharmacological Research and Pharmacology Biochemistry and Behavior.

In The Last Decade

Yağız Üresin

20 papers receiving 887 citations

Author Peers

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

Author						Papers	Cites
Yağız Üresin	401	268	197	98	64	23	918
David Trudeau	352 0.9×	88 0.3×	24 0.1×	87 0.9×	57 0.9×	29	980
Maria Ruberto	267 0.7×	200 0.7×	29 0.1×	16 0.2×	112 1.8×	44	915
Dongfeng Zhou	135 0.3×	38 0.1×	38 0.2×	195 2.0×	96 1.5×	39	1000
Brian J. Sanders	27 0.1×	252 0.9×	52 0.3×	64 0.7×	191 3.0×	51	990
Arthur C. L. Brown	73 0.2×	29 0.1×	157 0.8×	95 1.0×	198 3.1×	31	901
Monica Salerno	228 0.6×	238 0.9×	145 0.7×	28 0.3×	187 2.9×	31	976
Eduardo Miranda Dantas	164 0.4×	674 2.5×	86 0.4×	7 0.1×	88 1.4×	35	1.1k
Antti Helminen	109 0.3×	521 1.9×	31 0.2×	44 0.4×	49 0.8×	15	1.1k
Eelco van Duinkerken	220 0.5×	171 0.6×	256 1.3×	30 0.3×	199 3.1×	47	925
G. Nolfe	431 1.1×	103 0.4×	157 0.8×	78 0.8×	174 2.7×	47	1.2k

Countries citing papers authored by Yağız Üresin

Since Specialization

Citations

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

Fields of papers citing papers by Yağız Üresin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yağız Üresin

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