Jin Oshikawa

1.1k citations
25 papers · 942 · h-index 16

Impact in

Papers in

    • Dialysis and Renal Disease Management 2
    • Renal Diseases and Glomerulopathies 2
    • Caveolin-1 and cellular processes 7

Jin Oshikawa

23 papers receiving 930 citations

Peers

Jin Oshikawa
Comparison fields: 5 of 91
  • Cell Biology 171
  • Cardiology and Cardiovascular Medicine 200
  • Nephrology 47
  • Molecular Biology 445
  • Nutrition and Dietetics 86
Replace Nathalie Mercier with:
Nathalie Mercier France
Shinji J. Satoh Japan
Yao Wei Lu United States
Panjamaporn Sangwung United States
Ravi Kumar Adapala United States
Xueming Huang China
Dirk Bokemeyer Germany
Roman Gregory Ginnan United States
Sumita Mishra United States
Elena Beltramo Italy
Jin Oshikawa relative to Nathalie Mercier France Nathalie Mercier's profile →
Citations per field
00.5×1.5×2×2.5×
Nathalie Mercier · 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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010143
2 2004110
3 201092
4 200484
5 201178
6 200370
7 202454
8 201545
9 201340
10 201036
11 200534
12 200931
13 200926
14 201217
15 201216
16 201316
17 200613
18 202210
19 201310
20 20236

About Jin Oshikawa

Jin Oshikawa is a scholar working on Nephrology, Cell Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 25 papers that have together received 942 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), Dialysis and Renal Disease Management (2 papers), Vasculitis and related conditions (2 papers), Lipid metabolism and disorders (2 papers) and Renal Diseases and Glomerulopathies (2 papers). The work is most often cited by research in Cell Biology (171 citations), Cardiology and Cardiovascular Medicine (200 citations), Nephrology (47 citations), Molecular Biology (445 citations) and Nutrition and Dietetics (86 citations). Jin Oshikawa has collaborated with scholars based in Japan, United States and Brazil. Frequent co-authors include Yoshihiro Ishikawa, Ronald D. McKinney, Tohru Fukai, Masuko Ushio‐Fukai, Norifumi Urao, Satoshi Umemura, Yoshiyuki Toya, Susumu Minamisawa, Masooma Razvi and Jun-ichi Kawabe. Their work appears in journals such as American Journal of Physiology-Cell Physiology, Clinical and Experimental Hypertension, PLoS ONE, Journal of Clinical Hypertension and Nephrology Dialysis Transplantation.

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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