Faming Pan
Impact in
- Rheumatology top 2%
- Systemic Lupus Erythematosus Research
- Spondyloarthritis Studies and Treatments
- Rheumatoid Arthritis Research and Therapies
- Immunology top 10%
- T-cell and B-cell Immunology
- Psoriasis: Treatment and Pathogenesis
- Immune Cell Function and Interaction
Papers in
- Rheumatology 25
- Systemic Lupus Erythematosus Research 11
- Spondyloarthritis Studies and Treatments 10
- Rheumatoid Arthritis Research and Therapies 5
- Immunology 25
- T-cell and B-cell Immunology 9
- Immune Cell Function and Interaction 9
- Psoriasis: Treatment and Pathogenesis 5
- Co-authors
- Yanfeng Zou (25 shared papers)Dong‐Qing Ye (19 shared papers)Shengqian Xu (22 shared papers)Xiao-Liang Feng (6 shared papers)Hong Su (8 shared papers)Jianhua Xu (15 shared papers)Hai‐Feng Pan (7 shared papers)Xiang-Pei Li (5 shared papers)
In The Last Decade
Faming Pan
50 papers receiving 929 citations
Peers
Comparison fields: 5 of 87
- Rheumatology 380
- Immunology 346
- Biological Psychiatry 40
- Behavioral Neuroscience 40
- Hematology 71
Countries citing papers authored by Faming Pan
This map shows the geographic impact of Faming Pan'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 Faming Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faming Pan more than expected).
Fields of papers citing papers by Faming Pan
This network shows the impact of papers produced by Faming Pan. 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 Faming Pan. The network helps show where Faming Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Faming Pan, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 109 | |
| 2 | 2010 | 83 | |
| 3 | 2009 | 62 | |
| 4 | 2010 | 46 | |
| 5 | 2019 | 45 | |
| 6 | 2018 | 41 | |
| 7 | 2010 | 38 | |
| 8 | 2013 | 34 | |
| 9 | 2013 | 28 | |
| 10 | 2014 | 27 | |
| 11 | 2018 | 25 | |
| 12 | 2013 | 23 | |
| 13 | 2019 | 20 | |
| 14 | 2014 | 20 | |
| 15 | 2018 | 19 | |
| 16 | 2015 | 17 | |
| 17 | 2017 | 17 | |
| 18 | 2014 | 16 | |
| 19 | 2012 | 15 | |
| 20 | 2011 | 15 |
About Faming Pan
Faming Pan is a scholar working on Rheumatology, Immunology, Molecular Biology, Genetics and Hematology, having authored 53 papers that have together received 940 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (11 papers), Spondyloarthritis Studies and Treatments (10 papers), T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (9 papers), Autoimmune and Inflammatory Disorders Research (6 papers), Rheumatoid Arthritis Research and Therapies (5 papers), Psoriasis: Treatment and Pathogenesis (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Rheumatology (380 citations), Immunology (346 citations), Biological Psychiatry (40 citations), Behavioral Neuroscience (40 citations) and Hematology (71 citations). Faming Pan has collaborated with scholars based in China, Australia and Thailand. Frequent co-authors include Yanfeng Zou, Dong‐Qing Ye, Shengqian Xu, Xiao-Liang Feng, Hong Su, Jianhua Xu, Hai‐Feng Pan, Xiang-Pei Li, Jin‐Hui Tao and Fen Huang. Their work appears in journals such as Modern Rheumatology, Clinica Chimica Acta, International Immunopharmacology, Human Immunology and Clinical Rheumatology.
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.