San‐e Ishikawa

169 papers receiving 3.1k citations

Peers

San‐e Ishikawa
Comparison fields: 5 of 106
  • Nephrology 253
  • Endocrinology, Diabetes and Metabolism 578
  • Pulmonary and Respiratory Medicine 1.1k
  • Endocrine and Autonomic Systems 154
  • Cardiology and Cardiovascular Medicine 459
Replace Allen W. Cowley with:
Allen W. Cowley United States
W. S. Spielman United States
Robert W. Schrier United States
Rainer Rettig Germany
Francisca Rivera Spain
Laureano D. Asico United States
Toshio Nishikimi Japan
Ole Skøtt Denmark
H. Sonnenberg Canada
T Saruta Japan
San‐e Ishikawa relative to Allen W. Cowley United States Allen W. Cowley's profile →
Citations per field
00.5×3.2×
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Citations per year

Countries citing papers authored by San‐e Ishikawa

Since Specialization
Citations

This map shows the geographic impact of San‐e Ishikawa'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 San‐e Ishikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites San‐e Ishikawa more than expected).

Fields of papers citing papers by San‐e Ishikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by San‐e Ishikawa. 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 San‐e Ishikawa. The network helps show where San‐e Ishikawa may publish in the future.

Co-authors

The 25 scholars most cited alongside San‐e Ishikawa, 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 San‐e Ishikawa Line = papers co-authored together San‐e Ishikawa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 177 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995114
2 199378
3 201578
4 200377
5 198269
6 199766
7 201666
8 200164
9 200664
10 198762
11 200561
12 201460
13 199359
14 200555
15 201752
16 198552
17 199552
18 198651
19 199751
20 200447

About San‐e Ishikawa

San‐e Ishikawa is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Social Psychology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 177 papers that have together received 3.3k indexed citations. Recurring topics across this work include Electrolyte and hormonal disorders (59 papers), Neuroendocrine regulation and behavior (42 papers), Ion Transport and Channel Regulation (41 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers), Anesthesia and Neurotoxicity Research (11 papers), Pituitary Gland Disorders and Treatments (9 papers), Hormonal Regulation and Hypertension (9 papers) and Adrenal Hormones and Disorders (9 papers). The work is most often cited by research in Nephrology (253 citations), Endocrinology, Diabetes and Metabolism (578 citations), Pulmonary and Respiratory Medicine (1.1k citations), Endocrine and Autonomic Systems (154 citations) and Cardiology and Cardiovascular Medicine (459 citations). San‐e Ishikawa has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Toshikazu Saito, Masanobu Kawakami, Robert W. Schrier, Koji Okada, Takako Saitô, Shoichiro Nagasaka, Hiroyuki Tamemoto, Ikuyo Kusaka, Tomoatsu Nakamura and Genro Fujisawa. Their work appears in journals such as Circulation Journal, Endocrinology, Kidney International, Biochemical and Biophysical Research Communications and Diabetes Research and Clinical Practice.

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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