Noboru Takekoshi

2.5k citations
86 papers · 1.9k · h-index 22

Impact in

Papers in

Noboru Takekoshi

81 papers receiving 1.8k citations

Peers

Noboru Takekoshi
Comparison fields: 5 of 98
  • Cardiology and Cardiovascular Medicine 844
  • Radiology, Nuclear Medicine and Imaging 408
  • Internal Medicine 53
  • Surgery 384
  • Immunology and Allergy 47
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David Hasdai United States
Yuji Miyao Japan
Fumimaro Takatsu Japan
Takanori Arimoto Japan
Boris Ivandic Germany
Larry R. Bush United States
Hitoshi Sumida Japan
Włodzimierz J. Musiał Poland
Jean-Gilles Latour Canada
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Citations per year

Countries citing papers authored by Noboru Takekoshi

Since Specialization
Citations

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

Fields of papers citing papers by Noboru Takekoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005184
2 1997142
3 1997139
4 1998112
5 2003107
6 1997101
7 199591
8 200472
9 197271
10 200865
11 200462
12 199356
13 200451
14 199550
15 200648
16 200039
17 200236
18 200432
19 199932
20 198132

About Noboru Takekoshi

Noboru Takekoshi is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 86 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (15 papers), Lipoproteins and Cardiovascular Health (9 papers), Cardiomyopathy and Myosin Studies (7 papers), Cardiovascular Function and Risk Factors (6 papers), Viral Infections and Immunology Research (6 papers), Receptor Mechanisms and Signaling (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Coronary Interventions and Diagnostics (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (844 citations), Radiology, Nuclear Medicine and Imaging (408 citations), Internal Medicine (53 citations), Surgery (384 citations) and Immunology and Allergy (47 citations). Noboru Takekoshi has collaborated with scholars based in Japan, Sweden and United States. Frequent co-authors include Kouji Kajinami, Hiroyasu Seki, Hiroshi Mabuchi, Shinobu Matsui, Issei Komuro, Eiji Murakami, Sumiyo Kudoh, Yasushi Saito, Yoshio Yazaki and Kohei Teraoka. Their work appears in journals such as Journal of the American College of Cardiology, Circulation Journal, American Heart Journal, Journal of Cardiovascular Pharmacology and The American Journal of 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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