Kenji Kawai
- Immunology top 1%
- Aquaculture disease management and microbiota 60
- Endocrinology top 1%
- Vibrio bacteria research studies 16
- Microbiology top 2%
- Aquatic Science top 2%
- Aquaculture Nutrition and Growth 15
- Pharmacology top 2%
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- Coronary Interventions and Diagnostics 37
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- Cardiac Imaging and Diagnostics 22
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- Viral Infectious Diseases and Gene Expression in Insects 14
- Identification and Quantification in Food 13
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- Animal Virus Infections Studies 12
- Co-authors
- Riichi KusudaHiroshi SuemizuSyun‐ichirou OshimaMamoru ItoRenu VirmaniAloke V. FinnRika KawakamiMasato Nakamura
- Cited by
- ImmunologyEndocrinologyMicrobiology
- Journals
- Circulation (3 papers)Journal of Clinical Investigation (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Kenji Kawai
241 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Immunology 1.6k
- Endocrinology 336
- Microbiology 237
- Aquatic Science 272
- Pharmacology 236
Countries citing papers authored by Kenji Kawai
This map shows the geographic impact of Kenji Kawai'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 Kenji Kawai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenji Kawai more than expected).
Fields of papers citing papers by Kenji Kawai
This network shows the impact of papers produced by Kenji Kawai. 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 Kenji Kawai. The network helps show where Kenji Kawai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kenji Kawai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | Microthrombi as a Major Cause of Cardiac Injury in COVID-19breakdown → | 2021 | 173 |
| 6 | 2020 | 33 | |
| 7 | Forced expression of PDX-1 gene makes hepatoma cells to acquire glucose-responsive insulin secretion while maintaining hepatic characteristic. | 2015 | 4 |
| 8 | 2015 | 23 | |
| 9 | 2014 | 3 | |
| 10 | 2012 | 37 | |
| 11 | 2010 | 8 | |
| 12 | 2010 | 13 | |
| 13 | 2010 | 20 | |
| 14 | 1998 | 3 | |
| 15 | 1994 | 2 | |
| 16 | 1993 | 10 | |
| 17 | 1989 | 3 | |
| 18 | 1989 | 24 | |
| 19 | 1989 | 11 | |
| 20 | Mechanisms of Protection in Ayu Orally Vaccinated for Vibriosis (魚病に関する国際セミナ | 1981 | 0 |
About Kenji Kawai
Kenji Kawai is a scholar working on Immunology, Endocrinology and Aquatic Science, having authored 271 papers that have together received 4.4k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (60 papers), Coronary Interventions and Diagnostics (37 papers), Cardiac Imaging and Diagnostics (22 papers), Vibrio bacteria research studies (16 papers), Aquaculture Nutrition and Growth (15 papers), Viral Infectious Diseases and Gene Expression in Insects (14 papers), Identification and Quantification in Food (13 papers) and Animal Virus Infections Studies (12 papers). The work is most often cited by research in Immunology (1.6k citations), Endocrinology (336 citations) and Microbiology (237 citations). Kenji Kawai has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Riichi Kusuda, Hiroshi Suemizu, Syun‐ichirou Oshima, Mamoru Ito, Renu Virmani, Aloke V. Finn, Rika Kawakami, Masato Nakamura, Kouhei Ohnishi and Ying Liu. Their work appears in journals such as Circulation, Journal of Clinical Investigation and Journal of Clinical Oncology.
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.