Takatoshi Kasai

10.1k citations
290 papers · 5.5k indexed · h-index 40

Takatoshi Kasai

276 papers receiving 5.4k citations

Peers

Takatoshi Kasai
Comparison fields: 5 of 133
  • Endocrine and Autonomic Systems 1.4k
  • Physiology 2.6k
  • Cardiology and Cardiovascular Medicine 1.9k
  • Pulmonary and Respiratory Medicine 1.5k
  • Geriatrics and Gerontology 166
Replace Yasuharu Tabara with:
Yasuharu Tabara Japan
Regina M. Herges United States
Donald S. Silverberg Israel
Susanna Mak Canada
Pantaleo Giannuzzi Italy
Akira Yamashina Japan
Fatima H. Sert Kuniyoshi United States
Junichiro Hashimoto Japan
Waldemar Banasiak Poland
Katsuhiko Kohara Japan
Takatoshi Kasai relative to Yasuharu Tabara Japan Yasuharu Tabara's profile →
Citations per field
00.5×3.4×
Yasuharu Tabara · 1×
Citations per year

Countries citing papers authored by Takatoshi Kasai

Since Specialization
Citations

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

Fields of papers citing papers by Takatoshi Kasai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20251
5 20244
6 20242
7 20241
8 20240
9 20241
10 20234
11 20225
12 202214
13 20224
14 20213
15 202116
16 202015
17 202054
18 20209
19 201916
20 201517

About Takatoshi Kasai

Takatoshi Kasai is a scholar working on Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine and Physiology, having authored 290 papers that have together received 5.5k indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (99 papers), Neuroscience of respiration and sleep (47 papers), Coronary Interventions and Diagnostics (33 papers), Lipoproteins and Cardiovascular Health (31 papers), Acute Myocardial Infarction Research (30 papers), Cardiovascular Function and Risk Factors (27 papers), Heart Failure Treatment and Management (25 papers) and Sleep and related disorders (21 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.4k citations), Physiology (2.6k citations) and Cardiology and Cardiovascular Medicine (1.9k citations). Takatoshi Kasai has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include T. Douglas Bradley, Hiroyuki Daida, Katsumi Miyauchi, Tomotaka Dohi, John S. Floras, Koji Narui, Ryo Naito, Shinya Okazaki, Manabu Ogita and Sugao Ishiwata. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College 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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