Tomoyuki Kawada
- Health, Toxicology and Mutagenesis top 0.5%
- Cardiology and Cardiovascular Medicine top 5%
- Plant Science top 5%
- General Health Professions top 2%
- Experimental and Cognitive Psychology top 2%
- Co-authors
- Toshiaki OtsukaShosuke SuzukiMaiko KobayashiMasao KatsumataAri NakadaiYoshifumi MiyazakiTakahide KagawaHirofumi Inagaki
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (33 papers)Sleep and related disorders (28 papers)Noise Effects and Management (27 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEDiabetes Care
- Partner nations
- JapanUnited StatesIndonesia
In The Last Decade
Tomoyuki Kawada
269 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 194
- Health, Toxicology and Mutagenesis 1.5k
- Cardiology and Cardiovascular Medicine 576
- Plant Science 470
- General Health Professions 468
- Experimental and Cognitive Psychology 422
Countries citing papers authored by Tomoyuki Kawada
This map shows the geographic impact of Tomoyuki Kawada'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 Tomoyuki Kawada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoyuki Kawada more than expected).
Fields of papers citing papers by Tomoyuki Kawada
This network shows the impact of papers produced by Tomoyuki Kawada. 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 Tomoyuki Kawada. The network helps show where Tomoyuki Kawada may publish in the future.
Co-authorship network of co-authors of Tomoyuki Kawada
This figure shows the co-authorship network connecting the top 25 collaborators of Tomoyuki Kawada. A scholar is included among the top collaborators of Tomoyuki Kawada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tomoyuki Kawada. Tomoyuki Kawada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | Effect of holiday admission for acute aortic dissection on in-hospital mortality in Japan: A nationwide study | 0 |
| 4 | 9 | |
| 5 | 33 | |
| 6 | 9 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 23 | |
| 10 | 2 | |
| 11 | 12 | |
| 12 | 7 | |
| 13 | 28 | |
| 14 | 36 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 5 | |
| 19 | 8 | |
| 20 | 17 |
About Tomoyuki Kawada
Tomoyuki Kawada is a scholar working on Speech and Hearing, Experimental and Cognitive Psychology and Health, Toxicology and Mutagenesis, having authored 275 papers that have together received 5.0k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (33 papers), Sleep and related disorders (28 papers) and Noise Effects and Management (27 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.5k citations), Speech and Hearing (406 citations) and Sensory Systems (235 citations). Tomoyuki Kawada has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Toshiaki Otsuka, Shosuke Suzuki, Maiko Kobayashi, Masao Katsumata, Ari Nakadai, Yoshifumi Miyazaki, Takahide Kagawa, Hirofumi Inagaki, Chikao Ibuki and Alan M. Krensky. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes Care.
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.