Jun Iwanami
Impact in
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- Renin-Angiotensin System Studies
- Blood Pressure and Hypertension Studies
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
Papers in
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- Renin-Angiotensin System Studies 27
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- Receptor Mechanisms and Signaling 16
- Peroxisome Proliferator-Activated Receptors 4
- Co-authors
- Masaki Mogi (68 shared papers)Masatsugu Horiuchi (69 shared papers)Li‐Juan Min (53 shared papers)Kana Tsukuda (53 shared papers)Masaru Iwai (22 shared papers)Akiko Sakata (18 shared papers)Jian‐Mei Li (11 shared papers)Fei Jing (16 shared papers)
In The Last Decade
Jun Iwanami
74 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 106
- Cardiology and Cardiovascular Medicine 1.0k
- Neurology 385
- Endocrinology, Diabetes and Metabolism 589
- Biological Psychiatry 74
- Physiology 463
Countries citing papers authored by Jun Iwanami
This map shows the geographic impact of Jun Iwanami'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 Iwanami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Iwanami more than expected).
Fields of papers citing papers by Jun Iwanami
This network shows the impact of papers produced by Jun Iwanami. 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 Iwanami. The network helps show where Jun Iwanami may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Iwanami, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 168 | |
| 2 | 2005 | 149 | |
| 3 | 2008 | 118 | |
| 4 | 2007 | 92 | |
| 5 | 2012 | 91 | |
| 6 | 2006 | 90 | |
| 7 | 2011 | 85 | |
| 8 | 2006 | 80 | |
| 9 | 2012 | 75 | |
| 10 | 2012 | 72 | |
| 11 | 2017 | 69 | |
| 12 | 2013 | 69 | |
| 13 | 2016 | 66 | |
| 14 | 2012 | 65 | |
| 15 | 2014 | 59 | |
| 16 | 2010 | 54 | |
| 17 | 2011 | 51 | |
| 18 | 2009 | 49 | |
| 19 | 2008 | 45 | |
| 20 | 2009 | 45 |
About Jun Iwanami
Jun Iwanami is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Neurology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 79 papers that have together received 2.6k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (27 papers), Receptor Mechanisms and Signaling (16 papers), Hormonal Regulation and Hypertension (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (13 papers), Neurological Disease Mechanisms and Treatments (11 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.0k citations), Neurology (385 citations), Endocrinology, Diabetes and Metabolism (589 citations), Biological Psychiatry (74 citations) and Physiology (463 citations). Jun Iwanami has collaborated with scholars based in Japan, Germany and France. Frequent co-authors include Masaki Mogi, Masatsugu Horiuchi, Li‐Juan Min, Kana Tsukuda, Masaru Iwai, Akiko Sakata, Jian‐Mei Li, Fei Jing, Kousei Ohshima and Harumi Kan‐no. Their work appears in journals such as Hypertension, Hypertension Research, PLoS ONE, Journal of the American Society of Hypertension and American Journal of Hypertension.
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.