Akio Ebihara

210 papers receiving 2.2k citations

Peers

Akio Ebihara
Comparison fields: 5 of 127
  • Cardiology and Cardiovascular Medicine 549
  • Biochemistry 162
  • Endocrinology, Diabetes and Metabolism 320
  • Pharmacology 171
  • Nutrition and Dietetics 274
Replace Hideki Mori with:
Hideki Mori Japan
Ilaria Liguori Italy
Roberto Soares de Moura Brazil
Christo J. F. Muller South Africa
Johan Louw South Africa
Gianna Ferretti Italy
Dulcinéia Saes Parra Abdalla Brazil
Osamu Nakayama Japan
Anthony Zulli Australia
Andrea Ghiselli Italy
Akio Ebihara relative to Hideki Mori Japan Hideki Mori's profile →
Citations per field
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Citations per year

Countries citing papers authored by Akio Ebihara

Since Specialization
Citations

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

Fields of papers citing papers by Akio Ebihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 223 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982238
2 2003150
3 201679
4 200666
5 200759
6 200546
7 201045
8 198942
9 200740
10 200936
11 199435
12 201033
13 199333
14 199331
15 198930
16 199230
17 198629
18 200828
19 200728
20 201127

About Akio Ebihara

Akio Ebihara is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pharmacology, Materials Chemistry and Pharmacology, having authored 223 papers that have together received 2.3k indexed citations. Recurring topics across this work include Enzyme Structure and Function (31 papers), Analytical Methods in Pharmaceuticals (29 papers), Renin-Angiotensin System Studies (24 papers), Receptor Mechanisms and Signaling (22 papers), Pharmacogenetics and Drug Metabolism (22 papers), Hormonal Regulation and Hypertension (19 papers), Drug Transport and Resistance Mechanisms (14 papers) and Antibiotics Pharmacokinetics and Efficacy (13 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (549 citations), Biochemistry (162 citations), Endocrinology, Diabetes and Metabolism (320 citations), Pharmacology (171 citations) and Nutrition and Dietetics (274 citations). Akio Ebihara has collaborated with scholars based in Japan, India and United States. Frequent co-authors include Akio Fujimura, Kyoichi Ohashi, Tsutomu Nakagawa, Seiki Kuramitsu, Tomonori Tateishi, Tsuyoshi Shiga, Shigeyuki Yokoyama, Fumiaki Suzuki, Minoru Suzuki and Masatoyo Nishizawa. Their work appears in journals such as The Journal of Clinical Pharmacology, European Journal of Clinical Pharmacology, Life Sciences, Proteins Structure Function and Bioinformatics and The Journal of Biochemistry.

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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