Hideki Igata

643 citations
16 papers · 534 · h-index 8

Impact in

Papers in

Hideki Igata

14 papers receiving 503 citations

Peers

Hideki Igata
Comparison fields: 5 of 72
  • Cardiology and Cardiovascular Medicine 225
  • Endocrinology, Diabetes and Metabolism 60
  • Organic Chemistry 113
  • Molecular Biology 182
  • Immunology 49
Replace Kiyoshi Oizumi with:
Kiyoshi Oizumi Japan
Holger Heitsch Germany
Tadashi Iso Japan
William T. McElroy United States
Debra L. Ondeyka United States
Justin Ansell United States
H Weisenberger Germany
Hironobu Mitani Japan
Catherine Cazaubon France
Jean Gougat France
Hideki Igata relative to Kiyoshi Oizumi Japan Kiyoshi Oizumi's profile →
Citations per field
00.5×2×3×4×4.9×
Kiyoshi Oizumi · 1×
Citations per year

Countries citing papers authored by Hideki Igata

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Igata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2010125
2
Prevention of myocardial reperfusion injury in rats by an antibody against monocyte chemotactic and activating factor/monocyte chemoattractant protein-1.
199983
3 199779
4 200879
5 199957
6 201144
7 200825
8 200221
9 19926
10 19916
11 19904
12 19932
13 19942
14 19921
15 19930
16
[Discovery and development of the proton pump inhibitor].
19920

About Hideki Igata

Hideki Igata is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Oncology, Surgery and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 534 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (3 papers), Heart Failure Treatment and Management (3 papers), Helicobacter pylori-related gastroenterology studies (3 papers), Renin-Angiotensin System Studies (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Melanoma and MAPK Pathways (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (225 citations), Endocrinology, Diabetes and Metabolism (60 citations), Organic Chemistry (113 citations), Molecular Biology (182 citations) and Immunology (49 citations). Hideki Igata has collaborated with scholars based in Japan. Frequent co-authors include Akira Matsumori, Tetsuo Shioi, Keiji Kusumoto, Shigetake Sasayama, Hideaki Nagaya, Mami Ojima, Atsushi Iwasaki, Takanobu Kuroita, Hiroki Sakamoto and Ryosuke Nishio. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Circulation, Journal of Pharmacology and Experimental Therapeutics, Chemical and Pharmaceutical Bulletin and European Journal of Pharmacology.

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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