Hideki Igata

640 citations
15 papers · 511 · h-index 8

Impact in

Papers in

Hideki Igata

14 papers receiving 490 citations

Peers

Hideki Igata
Comparison fields: 5 of 70
  • Cardiology and Cardiovascular Medicine 235
  • Endocrinology, Diabetes and Metabolism 90
  • Organic Chemistry 112
  • Molecular Biology 196
  • Immunology 55
Replace Hossain Monshizadegan with:
Hossain Monshizadegan United States
Holger Heitsch Germany
D.L. Venton United States
Yue Xu China
Katsumi Aragane Japan
Catherine Cazaubon France
Viviane Caceres United States
J. Prous Spain
Magdi M. Asaad United States
Kiyoshi Oizumi Japan
Hideki Igata relative to Hossain Monshizadegan United States Hossain Monshizadegan's profile →
Citations per field
00.5×1.6×
Hossain Monshizadegan · 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

15 of 15 papers shown
#Work
1 2010122
2
Prevention of myocardial reperfusion injury in rats by an antibody against monocyte chemotactic and activating factor/monocyte chemoattractant protein-1.
199982
3 200875
4 199774
5 199947
6 201145
7 200824
8 200221
9 19926
10 19916
11 19904
12 19942
13 19932
14 19921
15 19930

About Hideki Igata

Hideki Igata is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Oncology, Cellular and Molecular Neuroscience and Surgery, having authored 15 papers that have together received 511 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (3 papers), Renin-Angiotensin System Studies (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Melanoma and MAPK Pathways (2 papers), Neuropeptides and Animal Physiology (2 papers), Cardiac Ischemia and Reperfusion (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (235 citations), Endocrinology, Diabetes and Metabolism (90 citations), Organic Chemistry (112 citations), Molecular Biology (196 citations) and Immunology (55 citations). Hideki Igata has collaborated with scholars based in Japan. Frequent co-authors include Akira Matsumori, Tetsuo Shioi, Keiji Kusumoto, Mami Ojima, Takanobu Kuroita, Hiroki Sakamoto, Hideaki Nagaya, Koh Ono, Shigetake Sasayama and Atsushi Iwasaki. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics, Chemical and Pharmaceutical Bulletin, British Journal of Pharmacology 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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