Takuya Tada
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Virology top 5%
- HIV Research and Treatment
Papers in
-
- SARS-CoV-2 and COVID-19 Research 19
- COVID-19 Clinical Research Studies 8
- SARS-CoV-2 detection and testing 5
- Immunology 14
- interferon and immune responses 9
- Immunotherapy and Immune Responses 4
- Co-authors
- Nathaniel R. Landau (22 shared papers)Belinda M. Dcosta (11 shared papers)Hao Zhou (8 shared papers)Kenzo Tokunaga (9 shared papers)Hideaki Fujita (7 shared papers)Mark J. Mulligan (6 shared papers)Marie I. Samanovic (6 shared papers)Yanzhao Zhang (3 shared papers)
- Journals
- mBio (3 papers)Cell Reports (2 papers)Microbiology Spectrum (2 papers)Molecular Therapy (2 papers)iScience (2 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Takuya Tada
37 papers receiving 905 citations
Peers
Comparison fields: 5 of 80
- Infectious Diseases 548
- Virology 128
- Immunology 267
- Animal Science and Zoology 98
- Nephrology 34
Countries citing papers authored by Takuya Tada
This map shows the geographic impact of Takuya Tada'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 Takuya Tada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuya Tada more than expected).
Fields of papers citing papers by Takuya Tada
This network shows the impact of papers produced by Takuya Tada. 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 Takuya Tada. The network helps show where Takuya Tada may publish in the future.
Co-authors
The 25 scholars most cited alongside Takuya Tada, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 113 | |
| 2 | 2022 | 96 | |
| 3 | 2018 | 62 | |
| 4 | 2022 | 59 | |
| 5 | Studies on passive serum sickness. II. Factors determining the localization of antigen-antibody complexes in the murine renal glomerulus. | 1978 | 53 |
| 6 | 2020 | 49 | |
| 7 | 2019 | 48 | |
| 8 | 2021 | 48 | |
| 9 | 2021 | 46 | |
| 10 | Studies on passive serum sickness. I. The glomerular fine structure of serum sickness nephritis induced by preformed antigen-antibody complexes in the mouse. | 1971 | 45 |
| 11 | 2020 | 40 | |
| 12 | 2021 | 34 | |
| 13 | 2019 | 28 | |
| 14 | 2022 | 24 | |
| 15 | 2022 | 24 | |
| 16 | 2022 | 20 | |
| 17 | 2015 | 20 | |
| 18 | 2021 | 16 | |
| 19 | 2022 | 14 | |
| 20 | 2021 | 14 |
About Takuya Tada
Takuya Tada is a scholar working on Infectious Diseases, Immunology, Virology, Molecular Biology and Genetics, having authored 38 papers that have together received 949 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (19 papers), HIV Research and Treatment (9 papers), interferon and immune responses (9 papers), COVID-19 Clinical Research Studies (8 papers), Animal Virus Infections Studies (7 papers), Virus-based gene therapy research (7 papers), SARS-CoV-2 detection and testing (5 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Infectious Diseases (548 citations), Virology (128 citations), Immunology (267 citations), Animal Science and Zoology (98 citations) and Nephrology (34 citations). Takuya Tada has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Nathaniel R. Landau, Belinda M. Dcosta, Hao Zhou, Kenzo Tokunaga, Hideaki Fujita, Mark J. Mulligan, Marie I. Samanovic, Yanzhao Zhang, Ramin S. Herati and Shoji Yamaoka. Their work appears in journals such as mBio, Cell Reports, Microbiology Spectrum, Molecular Therapy and iScience.
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.