Takeshi Tanoue
- Molecular Biology top 1%
- Immunology top 0.5%
- Infectious Diseases top 0.5%
- Genetics top 2%
- Physiology top 2%
- Co-authors
- Kenya HondaKoji AtarashiYoshinori UmesakiIvaylo I. IvanovTatsuichiro ShimaKiyoshi TakedaAkemi ImaokaKikuji Itoh
- Topics
- Gut microbiota and health (11 papers)IL-33, ST2, and ILC Pathways (7 papers)Clostridium difficile and Clostridium perfringens research (7 papers)
- Partner nations
- JapanUnited StatesSpain
In The Last Decade
Takeshi Tanoue
21 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Molecular Biology 5.0k
- Immunology 2.5k
- Infectious Diseases 2.0k
- Genetics 1.1k
- Physiology 1.0k
Countries citing papers authored by Takeshi Tanoue
This map shows the geographic impact of Takeshi Tanoue'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 Tanoue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Tanoue more than expected).
Fields of papers citing papers by Takeshi Tanoue
This network shows the impact of papers produced by Takeshi Tanoue. 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 Tanoue. The network helps show where Takeshi Tanoue may publish in the future.
Co-authorship network of co-authors of Takeshi Tanoue
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Tanoue. A scholar is included among the top collaborators of Takeshi Tanoue based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Takeshi Tanoue. Takeshi Tanoue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | Microbiota imbalance induced by dietary sugar disrupts immune-mediated protection from metabolic syndromebreakdown → | 208 |
| 3 | 31 | |
| 4 | 62 | |
| 5 | 109 | |
| 6 | Helicobacter species are potent drivers of colonic T cell responses in homeostasis and inflammation | 9 |
| 7 | 87 | |
| 8 | 173 | |
| 9 | Development and maintenance of intestinal regulatory T cellsbreakdown → | 433 |
| 10 | 47 | |
| 11 | 51 | |
| 12 | Induction of Colonic Regulatory T Cells by Indigenous Clostridium Speciesbreakdown → | 2855 |
| 13 | 27 | |
| 14 | 62 | |
| 15 | 13 | |
| 16 | 77 | |
| 17 | Induction of Intestinal Th17 Cells by Segmented Filamentous Bacteriabreakdown → | 3449 |
| 18 | 27 | |
| 19 | 63 | |
| 20 | 114 |
About Takeshi Tanoue
Takeshi Tanoue is a scholar working on Gastroenterology, Immunology and Infectious Diseases, having authored 21 papers that have together received 7.9k indexed citations. Recurring topics across this work include Gut microbiota and health (11 papers), IL-33, ST2, and ILC Pathways (7 papers) and Clostridium difficile and Clostridium perfringens research (7 papers). The work is most often cited by research in Biological Psychiatry (437 citations), Gastroenterology (740 citations) and Immunology (2.5k citations). Takeshi Tanoue has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Kenya Honda, Koji Atarashi, Yoshinori Umesaki, Ivaylo I. Ivanov, Tatsuichiro Shima, Kiyoshi Takeda, Akemi Imaoka, Kikuji Itoh, Susan V. Lynch and Dan R. Littman. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.