Sumio Shima

496 citations
41 papers · 462 · h-index 14

Impact in

Papers in

Sumio Shima

40 papers receiving 420 citations

Peers

Sumio Shima
Comparison fields: 5 of 60
  • Behavioral Neuroscience 44
  • Endocrinology, Diabetes and Metabolism 189
  • Urology 41
  • Cellular and Molecular Neuroscience 107
  • Physiology 24
Replace Fernand Labrie with:
Fernand Labrie Canada
Siret D. Jaanus United States
Donald V. Daniels United States
Nikolaos Nikolaou United Kingdom
Alberto J. Kaumann United Kingdom
Kristy K. Michael Miller United States
Ekins Rp United Kingdom
Nancy A. Nardone United States
T Morato Mexico
Sardar Y.K. Yousufzai United States
Sumio Shima relative to Fernand Labrie Canada Fernand Labrie's profile →
Citations per field
00.5×3.4×
Fernand Labrie · 1×
Citations per year

Countries citing papers authored by Sumio Shima

Since Specialization
Citations

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

Fields of papers citing papers by Sumio Shima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Sumio Shima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sumio Shima Line = papers co-authored together Sumio Shima links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197861
2 197254
3 198432
4 197926
5 198021
6 197919
7 196918
8 198018
9 199317
10 197117
11 197417
12 197614
13 198014
14 198513
15 198310
16 19929
17 19809
18 19869
19 19788
20 19688

About Sumio Shima

Sumio Shima is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology, Cellular and Molecular Neuroscience and Urology, having authored 41 papers that have together received 462 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (13 papers), Receptor Mechanisms and Signaling (9 papers), Urinary Bladder and Prostate Research (6 papers), Neuropeptides and Animal Physiology (6 papers), Hormonal Regulation and Hypertension (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Adipose Tissue and Metabolism (4 papers) and Eicosanoids and Hypertension Pharmacology (4 papers). The work is most often cited by research in Behavioral Neuroscience (44 citations), Endocrinology, Diabetes and Metabolism (189 citations), Urology (41 citations), Cellular and Molecular Neuroscience (107 citations) and Physiology (24 citations). Sumio Shima has collaborated with scholars based in Japan and United States. Frequent co-authors include Masanao Hirai, Takeshi Nakao, Gregory Pincus, Shigeru Taguchi, Nobu Akamatsu, Hiroyuki Fukase, Yoshiko Urata, Yuichi Masubuchi, Satoshi Ihara and Yuki Tanaka. Their work appears in journals such as Endocrinology, Molecular Pharmacology, Biochimica et Biophysica Acta (BBA) - General Subjects, The Japanese Journal of Pharmacology and Biochemical Pharmacology.

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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