Keisuke Tabata
Impact in
- Physiology top 1%
- Calcium signaling and nucleotide metabolism
- Epidemiology top 2%
- Autophagy in Disease and Therapy
- Liver Disease Diagnosis and Treatment
Papers in
- Epidemiology 22
- Autophagy in Disease and Therapy 17
- Hepatitis B Virus Studies 3
- Cell Biology 13
- Endoplasmic Reticulum Stress and Disease 9
- Cellular transport and secretion 4
- Co-authors
- Tamotsu Yoshimori (14 shared papers)Takeshi Noda (5 shared papers)Kohichi Matsunaga (2 shared papers)Kanae Shirahama‐Noda (2 shared papers)Hiroko Omori (4 shared papers)Takashi Satoh (1 shared paper)Shizuo Akira (1 shared paper)Tatsuya Saitoh (1 shared paper)
- Journals
- Cell Reports (4 papers)Autophagy (2 papers)Nature Communications (2 papers)Journal of Virology (2 papers)Structure (1 paper)
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Keisuke Tabata
28 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Physiology 282
- Epidemiology 1.5k
- Cell Biology 573
- Parasitology 114
- Hepatology 139
Countries citing papers authored by Keisuke Tabata
This map shows the geographic impact of Keisuke Tabata'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 Keisuke Tabata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisuke Tabata more than expected).
Fields of papers citing papers by Keisuke Tabata
This network shows the impact of papers produced by Keisuke Tabata. 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 Keisuke Tabata. The network helps show where Keisuke Tabata may publish in the future.
Co-authors
The 25 scholars most cited alongside Keisuke Tabata, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Two Beclin 1-binding proteins, Atg14L and Rubicon, reciprocally regulate autophagy at different stages Hit paper breakdown → | 2009 | 945 |
| 2 | 2016 | 287 | |
| 3 | 2010 | 122 | |
| 4 | 2013 | 87 | |
| 5 | 2019 | 87 | |
| 6 | 2016 | 78 | |
| 7 | 2021 | 77 | |
| 8 | 2017 | 72 | |
| 9 | 2019 | 64 | |
| 10 | 2020 | 60 | |
| 11 | 2014 | 56 | |
| 12 | 2019 | 46 | |
| 13 | 2022 | 31 | |
| 14 | 2019 | 31 | |
| 15 | 2021 | 30 | |
| 16 | 2020 | 23 | |
| 17 | 2023 | 19 | |
| 18 | 2024 | 19 | |
| 19 | 2022 | 16 | |
| 20 | Clinical study of chronic tonsillitis with IgA nephropathy treated by tonsillectomy. | 1996 | 16 |
About Keisuke Tabata
Keisuke Tabata is a scholar working on Epidemiology, Cell Biology, Molecular Biology, Public Health, Environmental and Occupational Health and Hepatology, having authored 30 papers that have together received 2.2k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (17 papers), Endoplasmic Reticulum Stress and Disease (9 papers), Hepatitis C virus research (7 papers), Mosquito-borne diseases and control (7 papers), HIV Research and Treatment (5 papers), Cellular transport and secretion (4 papers), Hepatitis B Virus Studies (3 papers) and Lysosomal Storage Disorders Research (3 papers). The work is most often cited by research in Physiology (282 citations), Epidemiology (1.5k citations), Cell Biology (573 citations), Parasitology (114 citations) and Hepatology (139 citations). Keisuke Tabata has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Tamotsu Yoshimori, Takeshi Noda, Kohichi Matsunaga, Kanae Shirahama‐Noda, Hiroko Omori, Takashi Satoh, Shizuo Akira, Tatsuya Saitoh, Tohru Ichimura and Ikuko Maejima. Their work appears in journals such as Cell Reports, Autophagy, Nature Communications, Journal of Virology and Structure.
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.