San‐e Ishikawa

4.7k citations
177 papers · 3.3k indexed · h-index 32

San‐e Ishikawa

171 papers receiving 3.1k citations

Peers

San‐e Ishikawa
Comparison fields: 5 of 114
  • Endocrinology, Diabetes and Metabolism 731
  • Nephrology 312
  • Pulmonary and Respiratory Medicine 1.2k
  • Endocrine and Autonomic Systems 187
  • Cardiology and Cardiovascular Medicine 613
Replace Allen W. Cowley with:
Allen W. Cowley United States
Hiroshi Nonoguchi Japan
Rainer Rettig Germany
Ole Skøtt Denmark
Francisca Rivera Spain
W. S. Spielman United States
Robert W. Schrier United States
Toshio Nishikimi Japan
Noreen F. Rossi United States
Anders Franco‐Cereceda Sweden
San‐e Ishikawa relative to Allen W. Cowley United States Allen W. Cowley's profile →
Citations per field
00.5×3.2×
Allen W. Cowley · 1×
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-authorship network

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
#Work
1 20235
2 201712
3 201211
4 20105
5 201011
6 200644
7 200527
8 200562
9 200533
10 20023
11 200131
12 20016
13 200114
14 200030
15 199819
16 199418
17 19949
18 199013
19
Interrelationship between subpressor effects of vasopressin and other vasoactive hormones in the rat.
198440
20 19781

About San‐e Ishikawa

San‐e Ishikawa is a scholar working on Endocrinology, Diabetes and Metabolism, Developmental Neuroscience, Pulmonary and Respiratory Medicine, Social Psychology and Nephrology, having authored 177 papers that have together received 3.3k indexed citations. Recurring topics across this work include Electrolyte and hormonal disorders (63 papers), Ion Transport and Channel Regulation (44 papers), Neuroendocrine regulation and behavior (44 papers), Adipokines, Inflammation, and Metabolic Diseases (14 papers), Hormonal Regulation and Hypertension (12 papers), Anesthesia and Neurotoxicity Research (11 papers), Pituitary Gland Disorders and Treatments (10 papers) and Adrenal Hormones and Disorders (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (731 citations), Nephrology (312 citations), Pulmonary and Respiratory Medicine (1.2k citations), Endocrine and Autonomic Systems (187 citations) and Cardiology and Cardiovascular Medicine (613 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 Endocrinology, Kidney International, Circulation Journal, Diabetes Research and Clinical Practice and Biochemical and Biophysical Research Communications.

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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