Jin Oshikawa
Impact in
- Cell Biology top 10%
- Caveolin-1 and cellular processes
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- Cardiac electrophysiology and arrhythmias
- Blood Pressure and Hypertension Studies
Papers in
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- Renal Diseases and Glomerulopathies 2
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- Caveolin-1 and cellular processes 7
- Co-authors
- Yoshihiro IshikawaTohru FukaiRonald McKinneyMasuko Ushio‐FukaiNorifumi UraoSatoshi UmemuraYoshiyuki ToyaSusumu Minamisawa
- Journals
- PLoS ONE (2 papers)American Journal of Physiology-Cell Physiology (2 papers)Clinical and Experimental Hypertension (2 papers)Scientific Reports (1 paper)Journal of Cellular and Molecular Medicine (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Jin Oshikawa
20 papers receiving 782 citations
Peers
Comparison fields: 5 of 88
- Cell Biology 168
- Cardiology and Cardiovascular Medicine 202
- Molecular Biology 466
- Nutrition and Dietetics 86
- Physiology 110
Countries citing papers authored by Jin Oshikawa
This map shows the geographic impact of Jin Oshikawa'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 Jin Oshikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Oshikawa more than expected).
Fields of papers citing papers by Jin Oshikawa
This network shows the impact of papers produced by Jin Oshikawa. 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 Jin Oshikawa. The network helps show where Jin Oshikawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jin Oshikawa, 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 | 0 | |
| 2 | 2022 | 8 | |
| 3 | [Hypertension with chronic kidney disease: anti-hypertensive therapy recommended for the management of hypertension with CKD in JSN-CKD GL 2013 and JSH2014]. | 2015 | 2 |
| 4 | 2013 | 10 | |
| 5 | 2013 | 3 | |
| 6 | 2013 | 34 | |
| 7 | 2013 | 16 | |
| 8 | 2012 | 17 | |
| 9 | 2012 | 14 | |
| 10 | 2011 | 73 | |
| 11 | 2010 | 138 | |
| 12 | 2010 | 36 | |
| 13 | 2010 | 85 | |
| 14 | 2009 | 29 | |
| 15 | 2009 | 22 | |
| 16 | 2008 | 6 | |
| 17 | 2006 | 12 | |
| 18 | 2005 | 33 | |
| 19 | 2004 | 104 | |
| 20 | 2003 | 64 |
About Jin Oshikawa
Jin Oshikawa is a scholar working on Nephrology, Cell Biology, Cardiology and Cardiovascular Medicine, Clinical Biochemistry and Molecular Biology, having authored 21 papers that have together received 788 indexed citations. Recurring topics across this work include Caveolin-1 and cellular processes (7 papers), Metabolism, Diabetes, and Cancer (4 papers), Blood Pressure and Hypertension Studies (3 papers), Ion channel regulation and function (3 papers), Trace Elements in Health (2 papers), Renal Diseases and Glomerulopathies (2 papers), Lipid metabolism and disorders (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Cell Biology (168 citations), Cardiology and Cardiovascular Medicine (202 citations), Molecular Biology (466 citations), Nutrition and Dietetics (86 citations) and Physiology (110 citations). Jin Oshikawa has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Yoshihiro Ishikawa, Tohru Fukai, Ronald McKinney, Masuko Ushio‐Fukai, Norifumi Urao, Satoshi Umemura, Yoshiyuki Toya, Susumu Minamisawa, Masooma Razvi and Jun-ichi Kawabe. Their work appears in journals such as PLoS ONE, American Journal of Physiology-Cell Physiology, Clinical and Experimental Hypertension, Scientific Reports and Journal of Cellular and Molecular Medicine.
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.