Yasuhiro Sumida

69 papers receiving 3.2k citations

Peers

Yasuhiro Sumida
Comparison fields: 5 of 126
  • Endocrinology, Diabetes and Metabolism 676
  • Immunology and Allergy 239
  • Endocrine and Autonomic Systems 229
  • Physiology 574
  • Epidemiology 657
Replace Alexander Sorisky with:
Alexander Sorisky Canada
Lasse U. Viinikka Finland
Antonino Saitta Italy
Maria Bianca Bertolotto Italy
Toshisuke Morita Japan
Lisa R. Tannock United States
Andreas Gardemann Germany
I Kinalska Poland
Philippe Vague France
Katherine Cianflone Canada
Yasuhiro Sumida relative to Alexander Sorisky Canada Alexander Sorisky's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yasuhiro Sumida

Since Specialization
Citations

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

Fields of papers citing papers by Yasuhiro Sumida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yasuhiro Sumida, 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 Yasuhiro Sumida Line = papers co-authored together Yasuhiro Sumida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003362
2 2001356
3 1998274
4 2017254
5 2003200
6 2001153
7 2005135
8 200293
9 200184
10 200676
11 199970
12 199962
13 200462
14 201855
15 200254
16 200548
17 199647
18 200247
19 200243
20 200342

About Yasuhiro Sumida

Yasuhiro Sumida is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Physiology, Hematology and Pulmonary and Respiratory Medicine, having authored 70 papers that have together received 3.3k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (14 papers), Metabolism, Diabetes, and Cancer (9 papers), Blood properties and coagulation (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Adipose Tissue and Metabolism (8 papers), Diabetes and associated disorders (5 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers) and Regulation of Appetite and Obesity (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (676 citations), Immunology and Allergy (239 citations), Endocrine and Autonomic Systems (229 citations), Physiology (574 citations) and Epidemiology (657 citations). Yasuhiro Sumida has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Akira Katsuki, Yutaka Yano, Esteban Cesar Gabazza, Yukihiko Adachi, Shuichi Murashima, Kaname Nakatani, Yasuko Hori, Hideki Urakawa, Rika Araki-Sasaki and Kohei Morioka. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care, Diabetes Research and Clinical Practice, Diabetic Medicine and International Journal of Molecular Medicine.

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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