Qing Yi
Impact in
- Immunology top 0.2%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
Papers in
- Immunology 109
- Immunotherapy and Immune Responses 63
- T-cell and B-cell Immunology 50
- Immune Cell Function and Interaction 34
- Co-authors
- Jianfei Qian (71 shared papers)Enguang Bi (20 shared papers)Xingzhe Ma (14 shared papers)Jing Yang (33 shared papers)Maojie Yang (16 shared papers)Lintao Liu (8 shared papers)Larry W. Kwak (37 shared papers)Qiang Wang (20 shared papers)
- Journals
- Blood (42 papers)British Journal of Haematology (11 papers)The Journal of Immunology (6 papers)Nature Communications (6 papers)Leukemia (6 papers)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Qing Yi
197 papers receiving 10.2k citations
Qing Yi's Hit Papers
Peers
Comparison fields: 5 of 123
- Immunology 4.7k
- Hematology 1.8k
- Oncology 3.4k
- Cancer Research 1.6k
- Molecular Biology 3.6k
Countries citing papers authored by Qing Yi
This map shows the geographic impact of Qing Yi'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 Qing Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Yi more than expected).
Fields of papers citing papers by Qing Yi
This network shows the impact of papers produced by Qing Yi. 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 Qing Yi. The network helps show where Qing Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Qing Yi, 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 203 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cholesterol Induces CD8+ T Cell Exhaustion in the Tumor Microenvironment Hit paper breakdown → | 2019 | 748 |
| 2 | CD36-mediated ferroptosis dampens intratumoral CD8+ T cell effector function and impairs their antitumor ability Hit paper breakdown → | 2021 | 707 |
| 3 | Enhanced Lipid Accumulation and Metabolism Are Required for the Differentiation and Activation of Tumor-Associated Macrophages Hit paper breakdown → | 2020 | 392 |
| 4 | 2012 | 276 | |
| 5 | 2009 | 253 | |
| 6 | 2013 | 225 | |
| 7 | 2014 | 198 | |
| 8 | 2008 | 189 | |
| 9 | 2010 | 186 | |
| 10 | 1998 | 167 | |
| 11 | 2004 | 157 | |
| 12 | 1998 | 151 | |
| 13 | 2020 | 146 | |
| 14 | 2002 | 133 | |
| 15 | 2012 | 129 | |
| 16 | 2018 | 127 | |
| 17 | 2018 | 126 | |
| 18 | 2018 | 124 | |
| 19 | 2009 | 120 | |
| 20 | 2018 | 119 |
About Qing Yi
Qing Yi is a scholar working on Immunology, Molecular Biology, Oncology, Hematology and Pathology and Forensic Medicine, having authored 203 papers that have together received 10.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (63 papers), Multiple Myeloma Research and Treatments (59 papers), T-cell and B-cell Immunology (50 papers), Immune Cell Function and Interaction (34 papers), CAR-T cell therapy research (19 papers), Monoclonal and Polyclonal Antibodies Research (18 papers), Lymphoma Diagnosis and Treatment (16 papers) and Myasthenia Gravis and Thymoma (15 papers). The work is most often cited by research in Immunology (4.7k citations), Hematology (1.8k citations), Oncology (3.4k citations), Cancer Research (1.6k citations) and Molecular Biology (3.6k citations). Qing Yi has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Jianfei Qian, Enguang Bi, Xingzhe Ma, Jing Yang, Maojie Yang, Lintao Liu, Larry W. Kwak, Qiang Wang, Yuhuan Zheng and Yong Lu. Their work appears in journals such as Blood, British Journal of Haematology, The Journal of Immunology, Nature Communications and Leukemia.
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.