Jun‐ichi Abe
- Biotechnology top 0.5%
- Enzyme Production and Characterization 33
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- Chemotherapy-induced cardiotoxicity and mitigation 17
- Nutrition and Dietetics top 0.5%
- Microbial Metabolites in Food Biotechnology 20
- Molecular Biology top 1%
- Protein Kinase Regulation and GTPase Signaling 21
- Ubiquitin and proteasome pathways 15
- Angiogenesis and VEGF in Cancer 15
- Immunology top 1%
- Atherosclerosis and Cardiovascular Diseases 11
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- Phytase and its Applications 16
Jun‐ichi Abe
229 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Biotechnology 841
- Cardiology and Cardiovascular Medicine 2.0k
- Nutrition and Dietetics 1.3k
- Molecular Biology 5.6k
- Immunology 1.6k
Countries citing papers authored by Jun‐ichi Abe
This map shows the geographic impact of Jun‐ichi Abe'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 Jun‐ichi Abe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐ichi Abe more than expected).
Fields of papers citing papers by Jun‐ichi Abe
This network shows the impact of papers produced by Jun‐ichi Abe. 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 Jun‐ichi Abe. The network helps show where Jun‐ichi Abe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun‐ichi Abe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 1 | |
| 10 | 2015 | 41 | |
| 11 | 2013 | 83 | |
| 12 | OE-335 Role of p90 Ribosomal S6 Kinase (p90RSK) Induced Prorenin Converting Enzyme (PRECE) in Ischemic Myocardium(Molecular biology, myocardium-1 (M) OE56,Oral Presentations (English),The 70th Anniversary Annual Scientific Meeting of the Japanese Circulation Society) | 2006 | 1 |
| 13 | 2005 | 5 | |
| 14 | 2003 | 2 | |
| 15 | 1999 | 42 | |
| 16 | 1997 | 242 | |
| 17 | 1996 | 10 | |
| 18 | 1990 | 13 | |
| 19 | 1984 | 0 | |
| 20 | 1984 | 1 |
About Jun‐ichi Abe
Jun‐ichi Abe is a scholar working on Biotechnology, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 236 papers that have together received 10.5k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (33 papers), Protein Kinase Regulation and GTPase Signaling (21 papers), Microbial Metabolites in Food Biotechnology (20 papers), Chemotherapy-induced cardiotoxicity and mitigation (17 papers), Phytase and its Applications (16 papers), Ubiquitin and proteasome pathways (15 papers), Angiogenesis and VEGF in Cancer (15 papers) and Atherosclerosis and Cardiovascular Diseases (11 papers). The work is most often cited by research in Biotechnology (841 citations), Cardiology and Cardiovascular Medicine (2.0k citations) and Nutrition and Dietetics (1.3k citations). Jun‐ichi Abe has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Bradford C. Berk, Susumu Hizukuri, Yan Chen, Isao Hanashiro, Keigi Fujiwara, Kyung‐Sun Heo, Patrizia Nigro, Jiing-Dwan Lee, Masanori Yoshizumi and Qunhua Huang. Their work appears in journals such as Circulation Research, Circulation, Journal of Biological Chemistry, Arteriosclerosis Thrombosis and Vascular Biology and Carbohydrate Research.
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.