Eri Ichikawa
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- interferon and immune responses
- Immune Response and Inflammation
- IL-33, ST2, and ILC Pathways
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- Cytokine Signaling Pathways and Interactions
- Cancer-related Molecular Pathways
Papers in
-
- CRISPR and Genetic Engineering 2
- DNA Repair Mechanisms 1
- Pluripotent Stem Cells Research 1
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- Immune Cell Function and Interaction 3
- T-cell and B-cell Immunology 2
- Immunotherapy and Immune Responses 2
- Co-authors
- Shinsuke Taki (3 shared papers)Shigeaki Hida (3 shared papers)Shinichi Miyagawa (2 shared papers)Shinsuke Nakajima (2 shared papers)Takashi Saito (1 shared paper)Takuma Nakajima (2 shared papers)Kazuhiko Takahara (1 shared paper)Yoshiki Omatsu (1 shared paper)
- Journals
- Bioscience Biotechnology and Biochemistry (3 papers)The Journal of Immunology (2 papers)Journal of Applied Animal Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Eri Ichikawa
12 papers receiving 447 citations
Peers
Comparison fields: 5 of 59
- Immunology 238
- Oncology 119
- Cancer Research 43
- Molecular Biology 178
- Aging 3
Countries citing papers authored by Eri Ichikawa
This map shows the geographic impact of Eri Ichikawa'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 Eri Ichikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eri Ichikawa more than expected).
Fields of papers citing papers by Eri Ichikawa
This network shows the impact of papers produced by Eri Ichikawa. 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 Eri Ichikawa. The network helps show where Eri Ichikawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Eri Ichikawa, 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 | 2004 | 108 | |
| 2 | 1998 | 104 | |
| 3 | 2005 | 85 | |
| 4 | 2004 | 44 | |
| 5 | 1995 | 32 | |
| 6 | 2014 | 29 | |
| 7 | 2007 | 20 | |
| 8 | 2016 | 14 | |
| 9 | 2019 | 13 | |
| 10 | 2020 | 8 | |
| 11 | 1994 | 3 | |
| 12 | 2006 | 1 |
About Eri Ichikawa
Eri Ichikawa is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Food Science, having authored 12 papers that have together received 461 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Animal Genetics and Reproduction (2 papers), T-cell and B-cell Immunology (2 papers), Food Quality and Safety Studies (2 papers), Immunotherapy and Immune Responses (2 papers), CRISPR and Genetic Engineering (2 papers), DNA Repair Mechanisms (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Immunology (238 citations), Oncology (119 citations), Cancer Research (43 citations), Molecular Biology (178 citations) and Aging (3 citations). Eri Ichikawa has collaborated with scholars based in Japan and United States. Frequent co-authors include Shinsuke Taki, Shigeaki Hida, Shinichi Miyagawa, Shinsuke Nakajima, Takashi Saito, Takuma Nakajima, Kazuhiko Takahara, Yoshiki Omatsu, Susumu Shimoyama and Kayo Inaba. Their work appears in journals such as Bioscience Biotechnology and Biochemistry, The Journal of Immunology, Journal of Applied Animal Research, Proceedings of the National Academy of Sciences and Molecular and Cellular Biology.
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.