Yoichi Sumida

593 citations
14 papers · 489 · h-index 10

Impact in

Papers in

Yoichi Sumida

14 papers receiving 477 citations

Peers

Yoichi Sumida
Comparison fields: 5 of 58
  • Endocrinology, Diabetes and Metabolism 159
  • Cardiology and Cardiovascular Medicine 191
  • Cancer Research 120
  • Molecular Biology 278
  • Pharmacology 65
Replace Stéphane Helleboid with:
Stéphane Helleboid France
I.G. Safonova Russia
Rüdiger Streicher Germany
Sivarajan Kumarasamy United States
Takamasa Ohno Japan
A. van Tol Netherlands
Patricia G. Cosgrove United States
Stephanie Gruenloh United States
Michael E. Pape United States
A.N. Makheja United States
Yoichi Sumida relative to Stéphane Helleboid France Stéphane Helleboid's profile →
Citations per field
00.5×3.4×
Stéphane Helleboid · 1×
Citations per year

Countries citing papers authored by Yoichi Sumida

Since Specialization
Citations

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

Fields of papers citing papers by Yoichi Sumida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1979144
2 199783
3 199869
4 197941
5 198032
6 199928
7 199824
8 197922
9 199814
10 199913
11 19989
12 19985
13
Regulation of cardiac angiotensinogen mRNA in vivo and in vitro.
19974
14 19961

About Yoichi Sumida

Yoichi Sumida is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Cancer Research and Organic Chemistry, having authored 14 papers that have together received 489 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (8 papers), Hormonal Regulation and Hypertension (7 papers), Receptor Mechanisms and Signaling (4 papers), Natural product bioactivities and synthesis (3 papers), Plant Toxicity and Pharmacological Properties (2 papers), Phytochemical compounds biological activities (2 papers), Sesquiterpenes and Asteraceae Studies (2 papers) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (159 citations), Cardiology and Cardiovascular Medicine (191 citations), Cancer Research (120 citations), Molecular Biology (278 citations) and Pharmacology (65 citations). Yoichi Sumida has collaborated with scholars based in Japan and United States. Frequent co-authors include I.H. Hall, K.H. Lee, Rong-Yang Wu, Thomas K. Waddell, C.O. Starnes, Masao Ishii, Kouichi Tamura, Machiko Yabana, Nobuo Nyui and Satoshi Umemura. Their work appears in journals such as Journal of Pharmaceutical Sciences, Hypertension, Journal of Hypertension, Clinical and Experimental Pharmacology and Physiology and Journal of the American Society of Nephrology.

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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