Hai Qi
Impact in
- Immunology top 0.5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Immunodeficiency and Autoimmune Disorders
- Oncology top 2%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 72
- T-cell and B-cell Immunology 58
- Immune Cell Function and Interaction 45
- Immunotherapy and Immune Responses 40
- Immune Response and Inflammation 9
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- Cell Adhesion Molecules Research 5
- Co-authors
- Ronald N. Germain (12 shared papers)Alex Yee-Chen Huang (7 shared papers)Jennifer Leigh Cannons (3 shared papers)Pam Schwartzberg (3 shared papers)Jackson G. Egen (7 shared papers)Frederick Klauschen (3 shared papers)Shiyue Hou (6 shared papers)Lynn Soong (4 shared papers)
- Journals
- Nature (11 papers)Immunity (9 papers)Nature Immunology (6 papers)The Journal of Experimental Medicine (6 papers)The Journal of Immunology (5 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Hai Qi
106 papers receiving 7.3k citations
Hai Qi's Hit Papers
Peers
Comparison fields: 5 of 142
- Immunology 4.9k
- Oncology 1.1k
- Virology 194
- Immunology and Allergy 216
- Biophysics 167
Countries citing papers authored by Hai Qi
This map shows the geographic impact of Hai Qi'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 Hai Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Qi more than expected).
Fields of papers citing papers by Hai Qi
This network shows the impact of papers produced by Hai Qi. 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 Hai Qi. The network helps show where Hai Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai Qi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Follicular CXCR5-expressing CD8+ T cells curtail chronic viral infection Hit paper breakdown → | 2016 | 561 |
| 2 | 2008 | 512 | |
| 3 | 2006 | 427 | |
| 4 | 2018 | 351 | |
| 5 | 2014 | 338 | |
| 6 | 2013 | 329 | |
| 7 | 2010 | 322 | |
| 8 | 2014 | 285 | |
| 9 | 2020 | 273 | |
| 10 | 2006 | 251 | |
| 11 | 2016 | 218 | |
| 12 | 2012 | 198 | |
| 13 | 2008 | 182 | |
| 14 | 2014 | 152 | |
| 15 | 2013 | 152 | |
| 16 | 2017 | 143 | |
| 17 | 2022 | 135 | |
| 18 | 2007 | 117 | |
| 19 | 2003 | 110 | |
| 20 | 2011 | 97 |
About Hai Qi
Hai Qi is a scholar working on Immunology, Immunology and Allergy, Neurology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 107 papers that have together received 7.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (58 papers), Immune Cell Function and Interaction (45 papers), Immunotherapy and Immune Responses (40 papers), Immune Response and Inflammation (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Cell Adhesion Molecules Research (5 papers). The work is most often cited by research in Immunology (4.9k citations), Oncology (1.1k citations), Virology (194 citations), Immunology and Allergy (216 citations) and Biophysics (167 citations). Hai Qi has collaborated with scholars based in China, United States and France. Frequent co-authors include Ronald N. Germain, Alex Yee-Chen Huang, Jennifer Leigh Cannons, Pam Schwartzberg, Jackson G. Egen, Frederick Klauschen, Shiyue Hou, Lynn Soong, Xin Liu and Changming Shih. Their work appears in journals such as Nature, Immunity, Nature Immunology, The Journal of Experimental Medicine and The Journal of 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.