Jun‐ichiro Koga

1.6k citations
29 papers · 1.2k · h-index 19

Impact in

    • Nanoparticle-Based Drug Delivery
    • Electrospun Nanofibers in Biomedical Applications
  • Immunology top 10%
    • Atherosclerosis and Cardiovascular Diseases
    • Immune cells in cancer

Papers in

Jun‐ichiro Koga

29 papers receiving 1.2k citations

Peers

Jun‐ichiro Koga
Comparison fields: 5 of 97
  • Biomaterials 229
  • Immunology 270
  • Cardiology and Cardiovascular Medicine 252
  • Developmental Neuroscience 43
  • Pathology and Forensic Medicine 165
Replace Kaku Nakano with:
Kaku Nakano Japan
Long Zheng China
Xiangfeng Cong China
Giji Joseph United States
Martina A. McAteer United Kingdom
Changfa Guo China
Wei Gong China
Christopher T. Cottage United States
Kangkai Wang China
Ki‐Chul Hwang South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Jun‐ichiro Koga

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐ichiro Koga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐ichiro Koga. 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 Jun‐ichiro Koga. The network helps show where Jun‐ichiro Koga may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013137
2 2017101
3 201693
4 201692
5 201892
6 201676
7 201966
8 200759
9 201655
10 200946
11 201745
12 201543
13 201241
14 202039
15 202135
16 200733
17 200931
18 201629
19 200819
20 201818

About Jun‐ichiro Koga

Jun‐ichiro Koga is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology, Surgery and Pathology and Forensic Medicine, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (5 papers), Protease and Inhibitor Mechanisms (5 papers), Cardiac Fibrosis and Remodeling (5 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Coronary Interventions and Diagnostics (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Signaling Pathways in Disease (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Biomaterials (229 citations), Immunology (270 citations), Cardiology and Cardiovascular Medicine (252 citations), Developmental Neuroscience (43 citations) and Pathology and Forensic Medicine (165 citations). Jun‐ichiro Koga has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kensuke Egashira, Tetsuya Matoba, Kaku Nakano, Hiroyuki Tsutsui, Kenji Sunagawa, Masanori Aikawa, Shunsuke Katsuki, Masaki Tokutome, Yasuhiro Nakano and Gentaro Ikeda. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Journal of the American Heart Association, Cardiovascular Research, Scientific Reports and Journal of Molecular and Cellular Cardiology.

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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