Mitsutoshi Iimura
Impact in
- Immunology top 5%
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- Microbiology top 2%
- Antimicrobial Peptides and Activities
Papers in
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- Immune Response and Inflammation 4
- Immunotherapy and Immune Responses 2
- interferon and immune responses 1
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- Escherichia coli research studies 4
- Co-authors
- Lars Eckmann (6 shared papers)Martin F. Kagnoff (6 shared papers)Koji Hase (4 shared papers)Li‐Chung Hsu (1 shared paper)Michael Karin (1 shared paper)Shin Maeda (1 shared paper)Hongjun Liu (1 shared paper)Laurie A. Bankston (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)Gut (2 papers)Science (1 paper)Infection and Immunity (1 paper)The American Journal of Gastroenterology (1 paper)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Mitsutoshi Iimura
13 papers receiving 1.7k citations
Mitsutoshi Iimura's Hit Papers
Peers
Comparison fields: 5 of 91
- Immunology 893
- Microbiology 261
- Endocrinology 202
- Genetics 425
- Infectious Diseases 237
Countries citing papers authored by Mitsutoshi Iimura
This map shows the geographic impact of Mitsutoshi Iimura'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 Mitsutoshi Iimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsutoshi Iimura more than expected).
Fields of papers citing papers by Mitsutoshi Iimura
This network shows the impact of papers produced by Mitsutoshi Iimura. 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 Mitsutoshi Iimura. The network helps show where Mitsutoshi Iimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitsutoshi Iimura, 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 | Nod2 Mutation in Crohn's Disease Potentiates NF-κB Activity and IL-1ß Processing Hit paper breakdown → | 2005 | 599 |
| 2 | 2005 | 195 | |
| 3 | 2003 | 183 | |
| 4 | 2004 | 165 | |
| 5 | 2008 | 156 | |
| 6 | 2002 | 95 | |
| 7 | 2001 | 80 | |
| 8 | 2006 | 72 | |
| 9 | 2004 | 72 | |
| 10 | 2006 | 72 | |
| 11 | 2000 | 47 | |
| 12 | [A case of Turner syndrome complicated with Crohn's disease, erythema nodosum and Hashimoto disease]. | 2006 | 2 |
| 13 | 1999 | 1 |
About Mitsutoshi Iimura
Mitsutoshi Iimura is a scholar working on Immunology, Endocrinology, Infectious Diseases, Molecular Biology and Oncology, having authored 13 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immune Response and Inflammation (4 papers), Escherichia coli research studies (4 papers), Inflammatory Bowel Disease (2 papers), Immunotherapy and Immune Responses (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Chemokine receptors and signaling (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Immunology (893 citations), Microbiology (261 citations), Endocrinology (202 citations), Genetics (425 citations) and Infectious Diseases (237 citations). Mitsutoshi Iimura has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Lars Eckmann, Martin F. Kagnoff, Koji Hase, Li‐Chung Hsu, Michael Karin, Shin Maeda, Hongjun Liu, Laurie A. Bankston, Richard L. Gallo and Yukiko Miyamoto. Their work appears in journals such as The Journal of Immunology, Gut, Science, Infection and Immunity and The American Journal of Gastroenterology.
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.