Ryusuke Anan
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
-
- interferon and immune responses
- Immune responses and vaccinations
- Immune Cell Function and Interaction
Papers in
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- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 and COVID-19 Research 4
-
- Immune Cell Function and Interaction 2
- interferon and immune responses 2
- Co-authors
- Hideaki Shimizu (1 shared paper)Yukiko Nakajima (1 shared paper)Yasushi Nakano (1 shared paper)Nobuhiko Okabe (1 shared paper)Yuko Kurihara (1 shared paper)Ryosuke Arai (1 shared paper)Tsutomu Takeuchi (3 shared papers)Yuko Kaneko (3 shared papers)
- Journals
- Nature (4 papers)Nature Genetics (3 papers)Cell Genomics (1 paper)Journal of Gastroenterology (1 paper)BMC Infectious Diseases (1 paper)
- Partner nations
- JapanUnited Kingdom
In The Last Decade
Ryusuke Anan
15 papers receiving 975 citations
Ryusuke Anan's Hit Papers
Peers
Comparison fields: 5 of 90
- Infectious Diseases 443
- Immunology 216
- Neurology 104
- Genetics 161
- Modeling and Simulation 16
Countries citing papers authored by Ryusuke Anan
This map shows the geographic impact of Ryusuke Anan'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 Ryusuke Anan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryusuke Anan more than expected).
Fields of papers citing papers by Ryusuke Anan
This network shows the impact of papers produced by Ryusuke Anan. 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 Ryusuke Anan. The network helps show where Ryusuke Anan may publish in the future.
Co-authors
The 18 scholars most cited alongside Ryusuke Anan, 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 | Mapping the human genetic architecture of COVID-19 Hit paper breakdown → | 2021 | 641 |
| 2 | 2020 | 74 | |
| 3 | 2022 | 69 | |
| 4 | 2023 | 56 | |
| 5 | 2023 | 48 | |
| 6 | 2022 | 31 | |
| 7 | 2022 | 22 | |
| 8 | A single nucleotide polymorphism of TRAF1 predicts the clinical response to anti-TNF treatment in Japanese patients with rheumatoid arthritis. | 2014 | 14 |
| 9 | 2017 | 13 | |
| 10 | 2025 | 13 | |
| 11 | 2024 | 8 | |
| 12 | 2024 | 4 | |
| 13 | 2026 | 3 | |
| 14 | 2025 | 3 | |
| 15 | 2018 | 1 | |
| 16 | 2025 | 0 |
About Ryusuke Anan
Ryusuke Anan is a scholar working on Infectious Diseases, Immunology, Genetics, Epidemiology and Molecular Biology, having authored 16 papers that have together received 1000 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Genetic Associations and Epidemiology (3 papers), Single-cell and spatial transcriptomics (3 papers), Immune Cell Function and Interaction (2 papers), interferon and immune responses (2 papers), RNA modifications and cancer (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Infectious Diseases (443 citations), Immunology (216 citations), Neurology (104 citations), Genetics (161 citations) and Modeling and Simulation (16 citations). Ryusuke Anan has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Hideaki Shimizu, Yukiko Nakajima, Yasushi Nakano, Nobuhiko Okabe, Yuko Kurihara, Ryosuke Arai, Tsutomu Takeuchi, Yuko Kaneko, Jun Kikuchi and Shiro Matsubara. Their work appears in journals such as Nature, Nature Genetics, Cell Genomics, Journal of Gastroenterology and BMC Infectious Diseases.
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.