Koichi Ikuta
Impact in
- Immunology top 0.1%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Immune Response and Inflammation
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
Papers in
- Immunology 106
- Immune Cell Function and Interaction 71
- T-cell and B-cell Immunology 64
- IL-33, ST2, and ILC Pathways 25
- Immunotherapy and Immune Responses 22
- Immune Response and Inflammation 13
- Hematology 23
- Hematopoietic Stem Cell Transplantation 11
- Co-authors
- Tasuku HonjoKazushige MakiIrving L. WeissmanNaoshige UchidaAkihiro ShimbaJun‐ichi MiyazakiShizue Tani‐ichiSidonia Fagarasan
- Journals
- The Journal of Immunology (28 papers)International Immunology (14 papers)The Journal of Experimental Medicine (13 papers)Proceedings of the National Academy of Sciences (12 papers)Immunity (6 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Koichi Ikuta
157 papers receiving 11.0k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Immunology 6.6k
- Hematology 1.6k
- Genetics 669
- Immunology and Allergy 377
- Oncology 1.7k
Countries citing papers authored by Koichi Ikuta
This map shows the geographic impact of Koichi Ikuta'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 Koichi Ikuta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Ikuta more than expected).
Fields of papers citing papers by Koichi Ikuta
This network shows the impact of papers produced by Koichi Ikuta. 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 Koichi Ikuta. The network helps show where Koichi Ikuta may publish in the future.
Co-authors
The 25 scholars most cited alongside Koichi Ikuta, 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 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 22 | |
| 7 | 2022 | 14 | |
| 8 | 2022 | 55 | |
| 9 | 2020 | 4 | |
| 10 | 2020 | 13 | |
| 11 | 2018 | 128 | |
| 12 | 2014 | 133 | |
| 13 | 2014 | 24 | |
| 14 | 2006 | 62 | |
| 15 | 2005 | 55 | |
| 16 | 2001 | 21 | |
| 17 | 2001 | 32 | |
| 18 | 2000 | 76 | |
| 19 | 2000 | 67 | |
| 20 | 1995 | 18 |
About Koichi Ikuta
Koichi Ikuta is a scholar working on Immunology, Hematology, Oncology, Genetics and Behavioral Neuroscience, having authored 162 papers that have together received 11.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (71 papers), T-cell and B-cell Immunology (64 papers), IL-33, ST2, and ILC Pathways (25 papers), Immunotherapy and Immune Responses (22 papers), Cytokine Signaling Pathways and Interactions (19 papers), Immune Response and Inflammation (13 papers), Hematopoietic Stem Cell Transplantation (11 papers) and Asthma and respiratory diseases (11 papers). The work is most often cited by research in Immunology (6.6k citations), Hematology (1.6k citations), Genetics (669 citations), Immunology and Allergy (377 citations) and Oncology (1.7k citations). Koichi Ikuta has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Tasuku Honjo, Kazushige Maki, Irving L. Weissman, Irving L. Weissman, Naoshige Uchida, Akihiro Shimba, Jun‐ichi Miyazaki, Shizue Tani‐ichi, Sidonia Fagarasan and Shinji Sunaga. Their work appears in journals such as The Journal of Immunology, International Immunology, The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences and Immunity.
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.