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
- Immunology and Allergy top 5%
Papers in
- Immunology 61
- T-cell and B-cell Immunology 53
- Immune Cell Function and Interaction 42
- Immunotherapy and Immune Responses 37
- Immune Response and Inflammation 6
- Co-authors
- Ronald N. Germain (12 shared papers)Alex Y. Huang (6 shared papers)Jennifer L. Cannons (3 shared papers)Pamela L. Schwartzberg (3 shared papers)Jackson G. Egen (6 shared papers)Frederick Klauschen (4 shared papers)Lynn Soong (4 shared papers)Shiyue Hou (6 shared papers)
- Journals
- Nature (9 papers)Immunity (8 papers)The Journal of Immunology (5 papers)Nature Immunology (5 papers)The Journal of Experimental Medicine (4 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Hai Qi
84 papers receiving 5.8k citations
Hai Qi's Hit Papers
Peers
Comparison fields: 5 of 139
- Immunology 4.2k
- Immunology and Allergy 204
- Oncology 783
- Biophysics 157
- Virology 123
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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 484 | |
| 2 | 2006 | 400 | |
| 3 | 2014 | 311 | |
| 4 | 2013 | 310 | |
| 5 | 2018 | 309 | |
| 6 | 2010 | 302 | |
| 7 | 2014 | 254 | |
| 8 | 2006 | 240 | |
| 9 | 2020 | 224 | |
| 10 | 2016 | 199 | |
| 11 | 2012 | 187 | |
| 12 | 2008 | 171 | |
| 13 | 2013 | 144 | |
| 14 | 2017 | 132 | |
| 15 | 2014 | 127 | |
| 16 | 2003 | 110 | |
| 17 | 2007 | 107 | |
| 18 | 2022 | 96 | |
| 19 | 2011 | 93 | |
| 20 | 2001 | 88 |
About Hai Qi
Hai Qi is a scholar working on Immunology, Molecular Biology, Oncology, Immunology and Allergy and Biophysics, having authored 88 papers that have together received 5.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (53 papers), Immune Cell Function and Interaction (42 papers), Immunotherapy and Immune Responses (37 papers), Immune Response and Inflammation (6 papers), Cell Image Analysis Techniques (5 papers), Cell Adhesion Molecules Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Research on Leishmaniasis Studies (4 papers). The work is most often cited by research in Immunology (4.2k citations), Immunology and Allergy (204 citations), Oncology (783 citations), Biophysics (157 citations) and Virology (123 citations). Hai Qi has collaborated with scholars based in China, United States and France. Frequent co-authors include Ronald N. Germain, Alex Y. Huang, Jennifer L. Cannons, Pamela L. Schwartzberg, Jackson G. Egen, Frederick Klauschen, Lynn Soong, Shiyue Hou, Xin Liu and Changming Shih. Their work appears in journals such as Nature, Immunity, The Journal of Immunology, Nature Immunology and The Journal of Experimental Medicine.
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.