Takeshi Kawabe
- Immunology top 2%
- Immune Cell Function and Interaction 25
- T-cell and B-cell Immunology 20
- Immunotherapy and Immune Responses 12
- IL-33, ST2, and ILC Pathways 10
- Immune Response and Inflammation 6
- Gastroenterology top 2%
- Hepatology top 5%
- Surgery top 2%
- Helicobacter pylori-related gastroenterology studies 8
- Eosinophilic Esophagitis 5
- Oncology top 5%
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- Gastric Cancer Management and Outcomes 7
- Co-authors
- Masao OmataHisako YoshidaMinoru TadaYasushi ShiratoriYutaka KomatsuJinfang ZhuWilliam E. PaulRonald N. Germain
- Cited by
- ImmunologyGastroenterologyHepatology
- Journals
- Science (1 paper)Nucleic Acids Research (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Takeshi Kawabe
80 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Immunology 929
- Gastroenterology 217
- Hepatology 290
- Surgery 1.4k
- Oncology 665
Countries citing papers authored by Takeshi Kawabe
This map shows the geographic impact of Takeshi Kawabe'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 Takeshi Kawabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Kawabe more than expected).
Fields of papers citing papers by Takeshi Kawabe
This network shows the impact of papers produced by Takeshi Kawabe. 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 Takeshi Kawabe. The network helps show where Takeshi Kawabe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takeshi Kawabe, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 10 | |
| 4 | 2022 | 28 | |
| 5 | 2021 | 27 | |
| 6 | 2020 | 19 | |
| 7 | 2019 | 7 | |
| 8 | 2019 | 15 | |
| 9 | S1P-dependent interorgan trafficking of group 2 innate lymphoid cells supports host defensebreakdown → | 2018 | 412 |
| 10 | 2014 | 1 | |
| 11 | 2009 | 1 | |
| 12 | 2008 | 33 | |
| 13 | 2006 | 59 | |
| 14 | 2006 | 133 | |
| 15 | 2005 | 83 | |
| 16 | 1999 | 32 | |
| 17 | 1997 | 37 | |
| 18 | 1996 | 244 | |
| 19 | 1996 | 77 | |
| 20 | 1993 | 1 |
About Takeshi Kawabe
Takeshi Kawabe is a scholar working on Immunology, Hepatology and Gastroenterology, having authored 82 papers that have together received 3.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (25 papers), T-cell and B-cell Immunology (20 papers), Immunotherapy and Immune Responses (12 papers), IL-33, ST2, and ILC Pathways (10 papers), Helicobacter pylori-related gastroenterology studies (8 papers), Gastric Cancer Management and Outcomes (7 papers), Immune Response and Inflammation (6 papers) and Eosinophilic Esophagitis (5 papers). The work is most often cited by research in Immunology (929 citations), Gastroenterology (217 citations) and Hepatology (290 citations). Takeshi Kawabe has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Masao Omata, Hisako Yoshida, Minoru Tada, Yasushi Shiratori, Yutaka Komatsu, Jinfang Zhu, William E. Paul, Ronald N. Germain, Makoto Ohashi and Yuefeng Huang. Their work appears in journals such as Science, Nucleic Acids Research and Journal of Clinical Investigation.
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.