Takehiro Igawa

741 citations
21 papers · 590 · h-index 10

Impact in

Papers in

Takehiro Igawa

21 papers receiving 564 citations

Peers

Takehiro Igawa
Comparison fields: 5 of 72
  • Hepatology 107
  • Internal Medicine 35
  • Cardiology and Cardiovascular Medicine 207
  • Nephrology 36
  • Surgery 157
Replace I. Colina with:
I. Colina Spain
P. F. McDonagh United States
J. T. Reeves United States
Masako Yamazaki Japan
C R B Welbourn United Kingdom
T. Shiraishi Japan
A. Yazdani Butt United Kingdom
Sohel Zaedi Japan
Halil Genç Türkiye
Vincenzo Paoletti Italy
Takehiro Igawa relative to I. Colina Spain I. Colina's profile →
Citations per field
00.5×3.6×
I. Colina · 1×
Citations per year

Countries citing papers authored by Takehiro Igawa

Since Specialization
Citations

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

Fields of papers citing papers by Takehiro Igawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Takehiro Igawa. 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 Takehiro Igawa. The network helps show where Takehiro Igawa may publish in the future.

Co-authors

The 25 scholars most cited alongside Takehiro Igawa, 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 Takehiro Igawa Line = papers co-authored together Takehiro Igawa 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 1993174
2 2000107
3 199075
4 198168
5 198441
6 198122
7
Transforming growth factor-beta in rat kidney during compensatory renal growth.
199318
8 198413
9 199512
10 198811
11 19788
12 19958
13 19996
14 19886
15 19796
16 19794
17 19803
18 20082
19 19922
20 19912

About Takehiro Igawa

Takehiro Igawa is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Surgery and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 590 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (4 papers), Pharmacological Effects and Assays (3 papers), Receptor Mechanisms and Signaling (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Neuropeptides and Animal Physiology (3 papers), Liver physiology and pathology (2 papers), Platelet Disorders and Treatments (2 papers) and Atrial Fibrillation Management and Outcomes (2 papers). The work is most often cited by research in Hepatology (107 citations), Internal Medicine (35 citations), Cardiology and Cardiovascular Medicine (207 citations), Nephrology (36 citations) and Surgery (157 citations). Takehiro Igawa has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Satoshi Kanda, Takashi Nakamura, Kunio Matsumoto, Yoshikazu Saito, Yasushi Ozeki, Junichi Kambayashi, Tomio Kawasaki, Yukio Yamori, Yasuo Nara and Toshimi Kanbe. Their work appears in journals such as Thrombosis Research, Biochemical Pharmacology, European Journal of Pharmacology, Hypertension and EXPERIMENTAL ANIMALS.

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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