Xinxin Chi
Impact in
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
- Immunotherapy and Immune Responses
- Immune cells in cancer
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- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Cytokine Signaling Pathways and Interactions
Papers in
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- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 4
- IL-33, ST2, and ILC Pathways 2
- Psoriasis: Treatment and Pathogenesis 2
- Macrophage Migration Inhibitory Factor 1
- Oncology 4
- CAR-T cell therapy research 3
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Chen Dong (8 shared papers)Xiaohong Zhao (5 shared papers)Qinli Sun (4 shared papers)Kun Wei (4 shared papers)Ling Ni (3 shared papers)Bowen Xie (2 shared papers)Yujie Fu (2 shared papers)Xue Bai (3 shared papers)
- Journals
- Cell Reports (3 papers)Science China Life Sciences (1 paper)Science Immunology (1 paper)The Journal of Immunology (1 paper)Nature Immunology (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xinxin Chi
8 papers receiving 265 citations
Peers
Comparison fields: 5 of 60
- Immunology 133
- Oncology 80
- Biological Psychiatry 3
- Molecular Biology 70
- Cancer Research 13
Countries citing papers authored by Xinxin Chi
This map shows the geographic impact of Xinxin Chi'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 Xinxin Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinxin Chi more than expected).
Fields of papers citing papers by Xinxin Chi
This network shows the impact of papers produced by Xinxin Chi. 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 Xinxin Chi. The network helps show where Xinxin Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinxin Chi, 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 | 2023 | 78 | |
| 2 | 2023 | 53 | |
| 3 | 2022 | 31 | |
| 4 | 2018 | 31 | |
| 5 | 2023 | 27 | |
| 6 | 2021 | 19 | |
| 7 | 2024 | 17 | |
| 8 | 2020 | 12 | |
| 9 | 2026 | 0 |
About Xinxin Chi
Xinxin Chi is a scholar working on Immunology, Oncology, Cellular and Molecular Neuroscience, Physiology and Genetics, having authored 9 papers that have together received 268 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Macrophage Migration Inhibitory Factor (1 paper) and Nuclear Receptors and Signaling (1 paper). The work is most often cited by research in Immunology (133 citations), Oncology (80 citations), Biological Psychiatry (3 citations), Molecular Biology (70 citations) and Cancer Research (13 citations). Xinxin Chi has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Chen Dong, Xiaohong Zhao, Qinli Sun, Kun Wei, Ling Ni, Bowen Xie, Yujie Fu, Xue Bai, Wei Jin and Wei Xu. Their work appears in journals such as Cell Reports, Science China Life Sciences, Science Immunology, The Journal of Immunology and Nature Immunology.
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.