Kai Nogami

514 citations
51 papers · 310 · h-index 10

Impact in

Papers in

Kai Nogami

42 papers receiving 306 citations

Peers

Kai Nogami
Comparison fields: 5 of 41
  • Cardiology and Cardiovascular Medicine 227
  • Radiology, Nuclear Medicine and Imaging 138
  • Surgery 153
  • Agronomy and Crop Science 27
  • Immunology 53
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Ruth Willis United Kingdom
Paolo Manca Italy
Marco Ochs Germany
Alice Maltret France
Samantha R. Goldburg United States
Evangelia Papadopoulou Greece
Todd T. Tomson United States
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Radka Kočková Czechia
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Citations per field
00.5×7.6×
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Citations per year

Countries citing papers authored by Kai Nogami

Since Specialization
Citations

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

Fields of papers citing papers by Kai Nogami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202051
2 201743
3 202039
4 197524
5 202018
6 202016
7 202112
8 202112
9 202010
10 202110
11 20217
12 20236
13 20226
14 20235
15 20205
16 20253
17 20243
18 20233
19 20233
20 20242

About Kai Nogami

Kai Nogami is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine and Immunology, having authored 51 papers that have together received 310 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (41 papers), Coronary Interventions and Diagnostics (27 papers), Cardiovascular Disease and Adiposity (21 papers), Acute Myocardial Infarction Research (8 papers), Cardiovascular Function and Risk Factors (7 papers), Advanced MRI Techniques and Applications (5 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (5 papers) and Cardiac Valve Diseases and Treatments (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (227 citations), Radiology, Nuclear Medicine and Imaging (138 citations), Surgery (153 citations), Agronomy and Crop Science (27 citations) and Immunology (53 citations). Kai Nogami has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Masahiro Hada, Yoshihisa Kanaji, Tsunekazu Kakuta, Taishi Yonetsu, Masahiro Hoshino, Tomoyo Sugiyama, Toru Misawa, Hiroki Ueno, Masao Yamaguchi and Eisuke Usui. Their work appears in journals such as Circulation Journal, Scientific Reports, European Heart Journal, Journal of the American College of Cardiology and Journal of the American Heart Association.

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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