San‐e Ishikawa

4.8k citations
187 papers · 4.0k · h-index 34

Impact in

Papers in

San‐e Ishikawa

180 papers receiving 3.7k citations

Peers

San‐e Ishikawa
Comparison fields: 5 of 116
  • Endocrinology, Diabetes and Metabolism 937
  • Nephrology 318
  • Pulmonary and Respiratory Medicine 1.2k
  • Endocrine and Autonomic Systems 168
  • Cardiology and Cardiovascular Medicine 540
Replace Allen W. Cowley with:
Allen W. Cowley United States
Hiroshi Nonoguchi Japan
W. S. Spielman United States
Takao Saruta Japan
J. J. Morton United Kingdom
Ole Skøtt Denmark
Cesare Orlandi United States
Toshio Nishikimi Japan
Jürg Nussberger Switzerland
Boye Lagerbon Jensen Denmark
San‐e Ishikawa relative to Allen W. Cowley United States Allen W. Cowley's profile →
Citations per field
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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-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 187 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017254
2 2020163
3 1995124
4 200390
5 199385
6 201580
7 198280
8 198772
9 200670
10 199769
11 200169
12 201668
13 200562
14 199362
15 201462
16 199758
17 200558
18 199556
19 200455
20 201754

About San‐e Ishikawa

San‐e Ishikawa is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Social Psychology, Molecular Biology and Developmental Neuroscience, having authored 187 papers that have together received 4.0k indexed citations. Recurring topics across this work include Electrolyte and hormonal disorders (62 papers), Neuroendocrine regulation and behavior (44 papers), Ion Transport and Channel Regulation (43 papers), Anesthesia and Neurotoxicity Research (12 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers), Hormonal Regulation and Hypertension (9 papers), Adrenal Hormones and Disorders (9 papers) and Pituitary Gland Disorders and Treatments (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (937 citations), Nephrology (318 citations), Pulmonary and Respiratory Medicine (1.2k citations), Endocrine and Autonomic Systems (168 citations) and Cardiology and Cardiovascular Medicine (540 citations). San‐e Ishikawa has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include Toshikazu Saito, Masanobu Kawakami, Robert W. Schrier, Koji Okada, Takako Saitô, Shoichiro Nagasaka, Hiroyuki Tamemoto, Tomoatsu Nakamura, Ikuyo Kusaka and Genro Fujisawa. Their work appears in journals such as Circulation Journal, Kidney International, Endocrinology, 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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