Ken Arimura
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 10%
- Long-Term Effects of COVID-19
- Peripheral Neuropathies and Disorders
Papers in
-
- COVID-19 Clinical Research Studies 10
- SARS-CoV-2 and COVID-19 Research 7
-
- Infection Control and Ventilation 2
- Tracheal and airway disorders 2
- Co-authors
- Etsuko Tagaya (17 shared papers)Mitsuko Kondo (15 shared papers)Jun Tamaoki (6 shared papers)Kiyoshi Takeyama (6 shared papers)Akitoshi Sato (4 shared papers)Masato Kanzaki (3 shared papers)Yoji Nagashima (3 shared papers)Hideki Katsura (7 shared papers)
- Journals
- Nature (4 papers)International Journal of Infectious Diseases (3 papers)Nature Genetics (3 papers)Scientific Reports (3 papers)Respiratory Research (3 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Ken Arimura
54 papers receiving 1.3k citations
Ken Arimura's Hit Papers
Peers
Comparison fields: 5 of 117
- Infectious Diseases 440
- Neurology 185
- Immunology 226
- Genetics 165
- Pulmonary and Respiratory Medicine 149
Countries citing papers authored by Ken Arimura
This map shows the geographic impact of Ken Arimura'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 Ken Arimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Arimura more than expected).
Fields of papers citing papers by Ken Arimura
This network shows the impact of papers produced by Ken Arimura. 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 Ken Arimura. The network helps show where Ken Arimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken Arimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mapping the human genetic architecture of COVID-19 Hit paper breakdown → | 2021 | 641 |
| 2 | 2005 | 78 | |
| 3 | 2022 | 69 | |
| 4 | 2023 | 56 | |
| 5 | 2023 | 48 | |
| 6 | 2018 | 46 | |
| 7 | 2022 | 31 | |
| 8 | 2021 | 29 | |
| 9 | 2019 | 24 | |
| 10 | 2016 | 24 | |
| 11 | 2022 | 22 | |
| 12 | 2014 | 21 | |
| 13 | 2022 | 16 | |
| 14 | 2021 | 15 | |
| 15 | 2022 | 15 | |
| 16 | 2001 | 14 | |
| 17 | 2017 | 14 | |
| 18 | 2025 | 13 | |
| 19 | 2022 | 12 | |
| 20 | 2022 | 8 |
About Ken Arimura
Ken Arimura is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Immunology, Neurology and Genetics, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (10 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Single-cell and spatial transcriptomics (3 papers), Genetic Associations and Epidemiology (3 papers), Nuclear physics research studies (3 papers), Infection Control and Ventilation (2 papers), Tracheal and airway disorders (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Infectious Diseases (440 citations), Neurology (185 citations), Immunology (226 citations), Genetics (165 citations) and Pulmonary and Respiratory Medicine (149 citations). Ken Arimura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Etsuko Tagaya, Mitsuko Kondo, Jun Tamaoki, Kiyoshi Takeyama, Akitoshi Sato, Masato Kanzaki, Yoji Nagashima, Hideki Katsura, Kenzo Hiroshima and Yasuo Sekine. Their work appears in journals such as Nature, International Journal of Infectious Diseases, Nature Genetics, Scientific Reports and Respiratory Research.
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.