Takehiro Igawa

681 citations
20 papers · 562 · h-index 10

Impact in

Papers in

Takehiro Igawa

20 papers receiving 540 citations

Peers

Takehiro Igawa
Comparison fields: 5 of 71
  • Internal Medicine 54
  • Hepatology 114
  • Cardiology and Cardiovascular Medicine 211
  • Nephrology 39
  • Pharmacology 75
Replace I. Colina with:
I. Colina Spain
Shintaro Nishio Japan
Inge A. M. van den Oever Netherlands
J. T. Reeves United States
Sohel Zaedi Japan
Massimiliano Anzaldi Italy
Rajesh K. Davda United States
Halil Genç Türkiye
R Dechend Germany
Ali Hariri United States
Takehiro Igawa relative to I. Colina Spain I. Colina's profile →
Citations per field
00.5×2.8×
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
#Work
1 1993173
2 2000107
3 199075
4 198168
5 198122
6
Transforming growth factor-beta in rat kidney during compensatory renal growth.
199318
7 198516
8 198413
9 199512
10 198811
11 19958
12 19788
13 19996
14 19886
15 19796
16 19794
17 19803
18 19922
19 19842
20 19912

About Takehiro Igawa

Takehiro Igawa is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Cellular and Molecular Neuroscience and Hematology, having authored 20 papers that have together received 562 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (3 papers), Adipose Tissue and Metabolism (3 papers), Receptor Mechanisms and Signaling (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Platelet Disorders and Treatments (3 papers), Pharmacological Effects and Assays (3 papers), Atrial Fibrillation Management and Outcomes (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Internal Medicine (54 citations), Hepatology (114 citations), Cardiology and Cardiovascular Medicine (211 citations), Nephrology (39 citations) and Pharmacology (75 citations). Takehiro Igawa has collaborated with scholars based in Japan, Spain and United States. Frequent co-authors include Yoshikazu Saito, Satoshi Kanda, Takashi Nakamura, Kunio Matsumoto, Yasushi Ozeki, Junichi Kambayashi, Tomio Kawasaki, Yukio Yamori, Toshimi Kanbe and Yasuo Nara. Their work appears in journals such as European Journal of Pharmacology, Biochemical Pharmacology, Thrombosis Research, EXPERIMENTAL ANIMALS and Circulation Research.

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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