Chen‐Feng Qi
- Immunology top 1%
- Immune Cell Function and Interaction 17
- T-cell and B-cell Immunology 16
- Immune Response and Inflammation 6
- Immunotherapy and Immune Responses 5
- Oncology top 5%
- Cancer-related Molecular Pathways 6
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- Lymphoma Diagnosis and Treatment 9
- Cancer Research top 10%
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 6
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- Multiple Myeloma Research and Treatments 4
- Co-authors
- Herbert C. MorseWarren J. LeonardChengyu LiuPamela L. SchwartzbergAlan SherCarl G. FengJun ChengRosanne Spolski
- Journals
- The Journal of Immunology (6 papers)Leukemia Research (5 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Chen‐Feng Qi
53 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Immunology 1.6k
- Oncology 544
- Pathology and Forensic Medicine 254
- Cancer Research 196
- Genetics 137
Countries citing papers authored by Chen‐Feng Qi
This map shows the geographic impact of Chen‐Feng 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 Chen‐Feng Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen‐Feng Qi more than expected).
Fields of papers citing papers by Chen‐Feng Qi
This network shows the impact of papers produced by Chen‐Feng 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 Chen‐Feng Qi. The network helps show where Chen‐Feng Qi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chen‐Feng 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2019 | 3 | |
| 7 | 2019 | 11 | |
| 8 | 2017 | 11 | |
| 9 | 2016 | 145 | |
| 10 | 2016 | 55 | |
| 11 | 2015 | 7 | |
| 12 | 2010 | 7 | |
| 13 | 2010 | 58 | |
| 14 | 2008 | 5 | |
| 15 | 2007 | 18 | |
| 16 | 2007 | 16 | |
| 17 | 2005 | 25 | |
| 18 | 2003 | 10 | |
| 19 | A Critical Role for IL-21 in Regulating Immunoglobulin Productionbreakdown → | 2002 | 786 |
| 20 | 1998 | 37 |
About Chen‐Feng Qi
Chen‐Feng Qi is a scholar working on Immunology, Genetics and Pathology and Forensic Medicine, having authored 57 papers that have together received 2.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (17 papers), T-cell and B-cell Immunology (16 papers), Lymphoma Diagnosis and Treatment (9 papers), Chronic Lymphocytic Leukemia Research (6 papers), Cancer-related Molecular Pathways (6 papers), Immune Response and Inflammation (6 papers), Immunotherapy and Immune Responses (5 papers) and Multiple Myeloma Research and Treatments (4 papers). The work is most often cited by research in Immunology (1.6k citations), Oncology (544 citations) and Pathology and Forensic Medicine (254 citations). Chen‐Feng Qi has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Herbert C. Morse, Warren J. Leonard, Chengyu Liu, Pamela L. Schwartzberg, Alan Sher, Carl G. Feng, Jun Cheng, Rosanne Spolski, Katsutoshi Ozaki and Hongsheng Wang. Their work appears in journals such as The Journal of Immunology, Leukemia Research, Proceedings of the National Academy of Sciences, Blood and Nature Communications.
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.