Jin Oshikawa

1.1k citations
21 papers · 788 · h-index 14

Impact in

Papers in

Jin Oshikawa

20 papers receiving 782 citations

Peers

Jin Oshikawa
Comparison fields: 5 of 88
  • Cell Biology 168
  • Cardiology and Cardiovascular Medicine 202
  • Molecular Biology 466
  • Nutrition and Dietetics 86
  • Physiology 110
Replace Tsugumichi Saito with:
Tsugumichi Saito Japan
Roman Ginnan United States
Ryuji Okamoto Japan
Herman Gordon United States
Sudarsan Rajan United States
Russell J. Wiese United States
Philipp Skroblin Germany
Simon Cuhlmann United Kingdom
Enrico Patrucco United States
Jean Verdetti France
Jin Oshikawa relative to Tsugumichi Saito Japan Tsugumichi Saito's profile →
Citations per field
00.5×2.7×
Tsugumichi Saito · 1×
Citations per year

Countries citing papers authored by Jin Oshikawa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Jin Oshikawa Line = papers co-authored together Jin Oshikawa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010138
2 2004104
3 201085
4 200482
5 201173
6 200364
7 201036
8 201334
9 200533
10 200929
11 200922
12 201217
13 201316
14 201214
15 200612
16 201310
17 20228
18 20086
19 20133
20
[Hypertension with chronic kidney disease: anti-hypertensive therapy recommended for the management of hypertension with CKD in JSN-CKD GL 2013 and JSH2014].
20152

About Jin Oshikawa

Jin Oshikawa is a scholar working on Molecular Biology, Cell Biology, Cardiology and Cardiovascular Medicine, Nephrology and Pulmonary and Respiratory Medicine, 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), Ion channel regulation and function (3 papers), Blood Pressure and Hypertension Studies (3 papers), Vasculitis and related conditions (2 papers), Lipid metabolism and disorders (2 papers), Renal Diseases and Glomerulopathies (2 papers) and Trace Elements in Health (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, Masuko Ushio‐Fukai, Tohru Fukai, Ronald McKinney, Norifumi Urao, Satoshi Umemura, Yoshiyuki Toya, Susumu Minamisawa, Masooma Razvi and Jun-ichi Kawabe. Their work appears in journals such as Clinical and Experimental Hypertension, PLoS ONE, American Journal of Physiology-Cell Physiology, Scientific Reports and Proceedings of the National Academy of Sciences.

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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