Hai‐Feng Pan
Impact in
- Rheumatology top 0.2%
- Systemic Lupus Erythematosus Research
- Immunology top 0.5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Atherosclerosis and Cardiovascular Diseases
Papers in
- Rheumatology 179
- Systemic Lupus Erythematosus Research 144
- Rheumatoid Arthritis Research and Therapies 32
- Immunology 173
- T-cell and B-cell Immunology 63
- Immune Cell Function and Interaction 43
- Atherosclerosis and Cardiovascular Diseases 25
- Co-authors
- Dong‐Qing YeRui‐Xue LengXiang-Pei LiXiaomei LiPeng WangGuo‐Cui WuYinguang FanWang‐Dong Xu
- Journals
- Autoimmunity Reviews (24 papers)Clinical Rheumatology (20 papers)Molecular Biology Reports (16 papers)Expert Opinion on Therapeutic Targets (12 papers)Environmental Science and Pollution Research (9 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Hai‐Feng Pan
432 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Rheumatology 2.7k
- Immunology 3.3k
- Cancer Research 1.6k
- Pathology and Forensic Medicine 828
- Molecular Biology 3.1k
Countries citing papers authored by Hai‐Feng Pan
This map shows the geographic impact of Hai‐Feng 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 Hai‐Feng Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai‐Feng Pan more than expected).
Fields of papers citing papers by Hai‐Feng Pan
This network shows the impact of papers produced by Hai‐Feng 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 Hai‐Feng Pan. The network helps show where Hai‐Feng Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai‐Feng 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 11 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 34 | |
| 9 | Temporal trends in the prevalence of autoimmune diseases from 1990 to 2019 Hit paper breakdown → | 2023 | 84 |
| 10 | 2023 | 1 | |
| 11 | 2023 | 14 | |
| 12 | 2023 | 21 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 11 | |
| 15 | Social Support and Depression Among Pulmonary Tuberculosis Patients in Anhui, China | 2022 | 13 |
| 16 | 2022 | 2 | |
| 17 | 2021 | 14 | |
| 18 | 2019 | 19 | |
| 19 | 2017 | 41 | |
| 20 | 2014 | 9 |
About Hai‐Feng Pan
Hai‐Feng Pan is a scholar working on Rheumatology, Immunology, Cancer Research, Nephrology and Health, Toxicology and Mutagenesis, having authored 456 papers that have together received 10.4k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (144 papers), T-cell and B-cell Immunology (63 papers), Immune Cell Function and Interaction (43 papers), Cytokine Signaling Pathways and Interactions (35 papers), Rheumatoid Arthritis Research and Therapies (32 papers), Cancer-related molecular mechanisms research (29 papers), Atherosclerosis and Cardiovascular Diseases (25 papers) and Climate Change and Health Impacts (25 papers). The work is most often cited by research in Rheumatology (2.7k citations), Immunology (3.3k citations), Cancer Research (1.6k citations), Pathology and Forensic Medicine (828 citations) and Molecular Biology (3.1k citations). Hai‐Feng Pan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Dong‐Qing Ye, Rui‐Xue Leng, Xiang-Pei Li, Xiaomei Li, Peng Wang, Guo‐Cui Wu, Yinguang Fan, Wang‐Dong Xu, Zhiwei Xu and Jin‐Hui Tao. Their work appears in journals such as Autoimmunity Reviews, Clinical Rheumatology, Molecular Biology Reports, Expert Opinion on Therapeutic Targets and Environmental Science and Pollution Research.
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.