Kenya Honda
- Immunology top 0.02%
- Molecular Biology top 0.2%
- Infectious Diseases top 0.1%
- Epidemiology top 0.5%
- Oncology top 0.5%
- Co-authors
- Tadatsugu TaniguchiDan R. LittmanAkinori TakaokaKoji AtarashiHideyuki YanaiYusuke OhbaHideo NegishiTakeshi Tanoue
- Topics
- Gut microbiota and health (49 papers)Immune Response and Inflammation (36 papers)Clostridium difficile and Clostridium perfringens research (30 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Kenya Honda
127 papers receiving 29.4k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Immunology 14.8k
- Molecular Biology 13.6k
- Infectious Diseases 5.1k
- Epidemiology 4.1k
- Oncology 3.7k
Countries citing papers authored by Kenya Honda
This map shows the geographic impact of Kenya Honda'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 Kenya Honda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenya Honda more than expected).
Fields of papers citing papers by Kenya Honda
This network shows the impact of papers produced by Kenya Honda. 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 Kenya Honda. The network helps show where Kenya Honda may publish in the future.
Co-authorship network of co-authors of Kenya Honda
This figure shows the co-authorship network connecting the top 25 collaborators of Kenya Honda. A scholar is included among the top collaborators of Kenya Honda 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 Kenya Honda. Kenya Honda 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 | 13 | |
| 3 | 38 | |
| 4 | 132 | |
| 5 | 54 | |
| 6 | 1 | |
| 7 | 62 | |
| 8 | 109 | |
| 9 | Helicobacter species are potent drivers of colonic T cell responses in homeostasis and inflammation | 9 |
| 10 | Gut microbiota as a source of signals that trigger spontaneous ocular autoimmunity | 1 |
| 11 | The microbiota regulates type 2 immunity through RORγt + T cellsbreakdown → | 650 |
| 12 | 47 | |
| 13 | 4 | |
| 14 | 40 | |
| 15 | 77 | |
| 16 | Induction of Colonic Regulatory T Cells by Indigenous Clostridium Speciesbreakdown → | 2855 |
| 17 | 173 | |
| 18 | 260 | |
| 19 | 53 | |
| 20 | 116 |
About Kenya Honda
Kenya Honda is a scholar working on Immunology, Gastroenterology and Infectious Diseases, having authored 129 papers that have together received 29.9k indexed citations. Recurring topics across this work include Gut microbiota and health (49 papers), Immune Response and Inflammation (36 papers) and Clostridium difficile and Clostridium perfringens research (30 papers). The work is most often cited by research in Immunology (14.8k citations), Biological Psychiatry (1.1k citations) and Infectious Diseases (5.1k citations). Kenya Honda has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Tadatsugu Taniguchi, Dan R. Littman, Akinori Takaoka, Koji Atarashi, Hideyuki Yanai, Yusuke Ohba, Hideo Negishi, Takeshi Tanoue, Ivaylo I. Ivanov and Kiyoshi Takeda. Their work appears in journals such as Nature, Science and Cell.
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.