TERUHISA UMEDA

88 total papers · 744 total citations
58 papers, 607 citations indexed

About

TERUHISA UMEDA is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, TERUHISA UMEDA has authored 58 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Surgery and 10 papers in Molecular Biology. Recurrent topics in TERUHISA UMEDA's work include Hormonal Regulation and Hypertension (9 papers), Adrenal and Paraganglionic Tumors (6 papers) and Sodium Intake and Health (6 papers). TERUHISA UMEDA is often cited by papers focused on Hormonal Regulation and Hypertension (9 papers), Adrenal and Paraganglionic Tumors (6 papers) and Sodium Intake and Health (6 papers). TERUHISA UMEDA collaborates with scholars based in Japan, Canada and United States. TERUHISA UMEDA's co-authors include Tatsuo Sato, Taisuke Iwaoka, Shojiro Naomi, Junnosuke Inoue, Junichi Tajiri, Mitsuo MORITA, K Higashi, T. Inaba, Masato Sasaki and Tatsuya Shimada and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Hypertension and Biochemical Pharmacology.

In The Last Decade

TERUHISA UMEDA

58 papers receiving 576 citations

Author Peers

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

Author						Papers	Cites
TERUHISA UMEDA	271	178	138	98	55	58	607
Stanislav Oravec	216 0.8×	219 1.2×	124 0.9×	77 0.8×	65 1.2×	46	605
Taisuke Iwaoka	243 0.9×	157 0.9×	151 1.1×	105 1.1×	114 2.1×	35	558
Shojiro Naomi	184 0.7×	143 0.8×	185 1.3×	111 1.1×	155 2.8×	35	622
D. Gordon	190 0.7×	68 0.4×	182 1.3×	86 0.9×	70 1.3×	24	614
Esteban Jorge‐Galarza	205 0.8×	124 0.7×	171 1.2×	70 0.7×	79 1.4×	45	633
P. J. Nestel	174 0.6×	216 1.2×	196 1.4×	226 2.3×	84 1.5×	36	664
Bindu Chamarthi	310 1.1×	193 1.1×	211 1.5×	104 1.1×	179 3.3×	26	696
Laura Boero	308 1.1×	140 0.8×	86 0.6×	35 0.4×	56 1.0×	34	647
P.M.J. Stuyt	309 1.1×	312 1.8×	130 0.9×	73 0.7×	97 1.8×	32	579
Hernán García	268 1.0×	145 0.8×	105 0.8×	65 0.7×	136 2.5×	42	576

Countries citing papers authored by TERUHISA UMEDA

Since Specialization

Citations

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

Fields of papers citing papers by TERUHISA UMEDA

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of TERUHISA UMEDA

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