Keisuke Kuga

1.3k citations
48 papers · 810 · h-index 16

Impact in

Papers in

Keisuke Kuga

47 papers receiving 790 citations

Peers

Keisuke Kuga
Comparison fields: 5 of 82
  • Cardiology and Cardiovascular Medicine 606
  • Internal Medicine 27
  • Rehabilitation 39
  • Pharmacology 45
  • Analytical Chemistry 39
Replace L Corea with:
L Corea Italy
Magdalena Bartuś Poland
Y. Nagamura Japan
D M Krikler United Kingdom
A. Van de Water Belgium
T. Fasanella D'amore United States
Kazuya Fukumura Japan
J C Cowan United Kingdom
Gregory N. Beatch Canada
Frölich Jc Germany
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Citations per field
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Citations per year

Countries citing papers authored by Keisuke Kuga

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Kuga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010118
2 200996
3 201759
4 201148
5 201840
6 201137
7 200931
8 201724
9 200623
10 201121
11 200317
12 200917
13 201516
14 200815
15 199315
16 200415
17 201414
18 200414
19 198912
20 201212

About Keisuke Kuga

Keisuke Kuga is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Analytical Chemistry, Pharmacology and Surgery, having authored 48 papers that have together received 810 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (26 papers), Cardiac Arrhythmias and Treatments (17 papers), Cardiac pacing and defibrillation studies (9 papers), Analytical Methods in Pharmaceuticals (8 papers), Atrial Fibrillation Management and Outcomes (8 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Ion channel regulation and function (6 papers) and Cardiac Imaging and Diagnostics (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (606 citations), Internal Medicine (27 citations), Rehabilitation (39 citations), Pharmacology (45 citations) and Analytical Chemistry (39 citations). Keisuke Kuga has collaborated with scholars based in Japan and United States. Frequent co-authors include Kazutaka Aonuma, Yukio Sekiguchi, Iwao Yamaguchi, Hiro Yamasaki, Kenji Kuroki, Takeshi Machino, Masato Homma, Hiroshi Tada, Yukinao Kohda and Takanori Arimoto. Their work appears in journals such as Circulation Journal, Life Sciences, The American Journal of Cardiology, Journal of Pharmaceutical and Biomedical Analysis and European Journal of Clinical 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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