Kyoko Katakura
Impact in
- Immunology top 2%
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Gastroenterology top 5%
Papers in
- Immunology 17
- Immune Response and Inflammation 10
- IL-33, ST2, and ILC Pathways 5
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 3
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- Liver Disease and Transplantation 2
- Co-authors
- Eyal RazJong‐Dae LeeDaniel RachmilewitzLars EckmannGloria LiBernard RudenskyKenji TakabayashiConstantin Reinus
- Journals
- Journal of Clinical Investigation (4 papers)Gastrointestinal Endoscopy (2 papers)Gastroenterology (2 papers)Clinical Cancer Research (1 paper)Scientific Reports (1 paper)
- Partner nations
- JapanUnited StatesIsrael
In The Last Decade
Kyoko Katakura
30 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Immunology 1.0k
- Gastroenterology 142
- Food Science 403
- Genetics 428
- Endocrinology 78
Countries citing papers authored by Kyoko Katakura
This map shows the geographic impact of Kyoko Katakura'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 Kyoko Katakura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyoko Katakura more than expected).
Fields of papers citing papers by Kyoko Katakura
This network shows the impact of papers produced by Kyoko Katakura. 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 Kyoko Katakura. The network helps show where Kyoko Katakura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kyoko Katakura, 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 | 2020 | 4 | |
| 2 | 2018 | 40 | |
| 3 | 2018 | 16 | |
| 4 | 2018 | 6 | |
| 5 | 2016 | 7 | |
| 6 | 2016 | 7 | |
| 7 | 2014 | 12 | |
| 8 | 2014 | 13 | |
| 9 | 2013 | 4 | |
| 10 | 2013 | 12 | |
| 11 | 2012 | 38 | |
| 12 | 2010 | 114 | |
| 13 | 2008 | 2 | |
| 14 | 2007 | 41 | |
| 15 | 2006 | 493 | |
| 16 | 2005 | 390 | |
| 17 | Toll-like receptor 9 signaling mediates the anti-inflammatory effects of probiotics in murine experimental colitis Hit paper breakdown → | 2004 | 677 |
| 18 | 2002 | 5 | |
| 19 | 2001 | 6 | |
| 20 | 2001 | 4 |
About Kyoko Katakura
Kyoko Katakura is a scholar working on Immunology, Hepatology, Gastroenterology, Periodontics and Genetics, having authored 30 papers that have together received 2.2k indexed citations. Recurring topics across this work include Immune Response and Inflammation (10 papers), IL-33, ST2, and ILC Pathways (5 papers), Immune Cell Function and Interaction (5 papers), Inflammatory Bowel Disease (5 papers), Pancreatic and Hepatic Oncology Research (3 papers), Immunotherapy and Immune Responses (3 papers), Gastroesophageal reflux and treatments (2 papers) and Liver Disease and Transplantation (2 papers). The work is most often cited by research in Immunology (1.0k citations), Gastroenterology (142 citations), Food Science (403 citations), Genetics (428 citations) and Endocrinology (78 citations). Kyoko Katakura has collaborated with scholars based in Japan, United States and Israel. Frequent co-authors include Eyal Raz, Jong‐Dae Lee, Daniel Rachmilewitz, Lars Eckmann, Gloria Li, Bernard Rudensky, Kenji Takabayashi, Constantin Reinus, Fanny Karmeli and Kiyoshi Takeda. Their work appears in journals such as Journal of Clinical Investigation, Gastrointestinal Endoscopy, Gastroenterology, Clinical Cancer Research and Scientific Reports.
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.