Jun Agata
- Genetics top 5%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 9
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- Renin-Angiotensin System Studies 4
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- Neuropeptides and Animal Physiology 4
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- Nitric Oxide and Endothelin Effects 4
- Diet and metabolism studies 3
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- Peptidase Inhibition and Analysis 3
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- Blood Coagulation and Thrombosis Mechanisms 3
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- Receptor Mechanisms and Signaling 3
- Co-authors
- Julie ChaoLee ChaoHideaki YoshidaQing MiaoHang YinNobuyuki UraKazuaki ShimamotoRobert S. Smith
- Journals
- Hypertension Research (5 papers)Hypertension (2 papers)American Journal of Hypertension (2 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Jun Agata
26 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 95
- Genetics 327
- Endocrine and Autonomic Systems 170
- Cardiology and Cardiovascular Medicine 377
- Endocrinology, Diabetes and Metabolism 197
- Cellular and Molecular Neuroscience 194
Countries citing papers authored by Jun Agata
This map shows the geographic impact of Jun Agata'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 Agata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Agata more than expected).
Fields of papers citing papers by Jun Agata
This network shows the impact of papers produced by Jun Agata. 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 Agata. The network helps show where Jun Agata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Agata, 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 | 2007 | 17 | |
| 2 | 2006 | 111 | |
| 3 | 2006 | 10 | |
| 4 | 2005 | 70 | |
| 5 | 2004 | 21 | |
| 6 | 2004 | 43 | |
| 7 | 2003 | 18 | |
| 8 | 2002 | 58 | |
| 9 | 2002 | 144 | |
| 10 | 2001 | 41 | |
| 11 | 2000 | 62 | |
| 12 | 2000 | 16 | |
| 13 | 2000 | 49 | |
| 14 | 2000 | 21 | |
| 15 | 1999 | 3 | |
| 16 | 1999 | 24 | |
| 17 | 1998 | 6 | |
| 18 | 1998 | 21 | |
| 19 | 1997 | 198 | |
| 20 | 1995 | 28 |
About Jun Agata
Jun Agata is a scholar working on Genetics, Physiology, Cardiology and Cardiovascular Medicine, Hematology and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (9 papers), Nitric Oxide and Endothelin Effects (4 papers), Renin-Angiotensin System Studies (4 papers), Neuropeptides and Animal Physiology (4 papers), Diet and metabolism studies (3 papers), Peptidase Inhibition and Analysis (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Genetics (327 citations), Endocrine and Autonomic Systems (170 citations), Cardiology and Cardiovascular Medicine (377 citations), Endocrinology, Diabetes and Metabolism (197 citations) and Cellular and Molecular Neuroscience (194 citations). Jun Agata has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Julie Chao, Lee Chao, Hideaki Yoshida, Qing Miao, Hang Yin, Nobuyuki Ura, Kazuaki Shimamoto, Robert S. Smith, Eric Dobrzynski and Kazuo Kato. Their work appears in journals such as Hypertension Research, Hypertension, American Journal of Hypertension, Arteriosclerosis Thrombosis and Vascular Biology and Diabetes.
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.