Gen Takagi

2.7k citations
57 papers · 2.0k · h-index 23

Impact in

Papers in

    • Cardiac electrophysiology and arrhythmias 8
    • Cardiac Fibrosis and Remodeling 6
    • Cardiomyopathy and Myosin Studies 5
    • Peripheral Artery Disease Management 4
    • Coronary Interventions and Diagnostics 4

Gen Takagi

53 papers receiving 2.0k citations

Peers

Gen Takagi
Comparison fields: 5 of 100
  • Cardiology and Cardiovascular Medicine 755
  • Aging 41
  • Molecular Biology 884
  • Urology 57
  • Pathology and Forensic Medicine 162
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Gen Takagi relative to John Fassett United States John Fassett's profile →
Citations per field
00.5×3.8×
John Fassett · 1×
Citations per year

Countries citing papers authored by Gen Takagi

Since Specialization
Citations

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

Fields of papers citing papers by Gen Takagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003186
2 2003169
3 2000150
4 1999148
5 2002139
6 2002114
7 2003104
8 199999
9 200183
10 200478
11 201172
12 201271
13 200369
14 200045
15 200235
16 199935
17 200733
18 200132
19 199929
20 201127

About Gen Takagi

Gen Takagi is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Pathology and Forensic Medicine and Physiology, having authored 57 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (8 papers), Cardiac Fibrosis and Remodeling (6 papers), Cardiomyopathy and Myosin Studies (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Receptor Mechanisms and Signaling (4 papers), Peripheral Artery Disease Management (4 papers), Cardiac Imaging and Diagnostics (4 papers) and Coronary Interventions and Diagnostics (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (755 citations), Aging (41 citations), Molecular Biology (884 citations), Urology (57 citations) and Pathology and Forensic Medicine (162 citations). Gen Takagi has collaborated with scholars based in Japan, United States and Philippines. Frequent co-authors include Stephen F. Vatner, Dorothy E. Vatner, Kuniya Asai, Chull Hong, Junichi Sadoshima, Masaaki Miyamoto, Filipinas F. Natividad, Yoshihiro Ishikawa, Guiping Yang and Satoshi Okumura. Their work appears in journals such as Journal of Clinical Investigation, Circulation Research, Journal of Molecular and Cellular Cardiology, Circulation and American Journal of Physiology-Heart and Circulatory Physiology.

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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