Eiji Yahiro

1.1k citations
36 papers · 813 · h-index 16

Impact in

Papers in

Eiji Yahiro

36 papers receiving 798 citations

Peers

Eiji Yahiro
Comparison fields: 5 of 79
  • Cardiology and Cardiovascular Medicine 468
  • Endocrinology, Diabetes and Metabolism 158
  • Genetics 88
  • Immunology 118
  • Surgery 184
Replace Hiroshi Sakonjo with:
Hiroshi Sakonjo Japan
Fung L. Chow Canada
Chun Xi Liu China
Manabu Sasaguri Japan
Francisco R. González‐Pacheco Spain
Fridolin Hefti Switzerland
Pradyumna E. Tummala United States
Naifeng Liu China
Eddy S. Konaniah United States
Wenfeng Miao United States
Eiji Yahiro relative to Hiroshi Sakonjo Japan Hiroshi Sakonjo's profile →
Citations per field
00.5×12.3×
Hiroshi Sakonjo · 1×
Citations per year

Countries citing papers authored by Eiji Yahiro

Since Specialization
Citations

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

Fields of papers citing papers by Eiji Yahiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016128
2 2010112
3 200870
4 201449
5 201347
6
Chymase inhibitor improves survival in hamsters with myocardial infarction.
200346
7 200843
8 201341
9 201331
10 200125
11 201323
12 200322
13 201518
14 201216
15 200915
16 201615
17 201314
18 201511
19 202010
20 201810

About Eiji Yahiro

Eiji Yahiro is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 813 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (5 papers), Heart Failure Treatment and Management (5 papers), Receptor Mechanisms and Signaling (4 papers), Mast cells and histamine (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Peptidase Inhibition and Analysis (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Cardiovascular Function and Risk Factors (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (468 citations), Endocrinology, Diabetes and Metabolism (158 citations), Genetics (88 citations), Immunology (118 citations) and Surgery (184 citations). Eiji Yahiro has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Keijiro Saku, Yoshinari Uehara, Shin‐ichiro Miura, Satoshi Imaizumi, Hidenori Urata, Yasunori Suematsu, Yoshino Matsuo, Shin-ichiro Miura, Ming Li and Nawazish Naqvi. Their work appears in journals such as International Journal of Cardiology, Current Pharmaceutical Design, Circulation Journal, Hypertension Research and Journal of Cardiology.

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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