Hua Chen
Impact in
- Rheumatology top 1%
- Systemic Lupus Erythematosus Research
- Rheumatoid Arthritis Research and Therapies
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
- Rheumatology 25
- Systemic Lupus Erythematosus Research 14
- Rheumatoid Arthritis Research and Therapies 5
- IgG4-Related and Inflammatory Diseases 4
- Immunology 19
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 6
- Co-authors
- Xuan Zhang (22 shared papers)Liuting Zeng (11 shared papers)Lidan Zhao (14 shared papers)Fengchun Zhang (24 shared papers)Kailin Yang (8 shared papers)Wenjie Zheng (16 shared papers)Huaxia Yang (9 shared papers)Ganpeng Yu (4 shared papers)
- Journals
- Frontiers in Immunology (9 papers)Annals of the Rheumatic Diseases (4 papers)Clinical Immunology (4 papers)PLoS ONE (3 papers)Medicine (3 papers)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Hua Chen
94 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 123
- Rheumatology 545
- Immunology 522
- Physiology 246
- Molecular Medicine 50
- Cancer Research 139
Countries citing papers authored by Hua Chen
This map shows the geographic impact of Hua Chen'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 Hua Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Chen more than expected).
Fields of papers citing papers by Hua Chen
This network shows the impact of papers produced by Hua Chen. 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 Hua Chen. The network helps show where Hua Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Hua Chen, 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 130 | |
| 2 | 2007 | 124 | |
| 3 | 2021 | 115 | |
| 4 | 2022 | 99 | |
| 5 | 2019 | 63 | |
| 6 | 2022 | 58 | |
| 7 | 2020 | 58 | |
| 8 | 2022 | 55 | |
| 9 | 2020 | 53 | |
| 10 | 2022 | 52 | |
| 11 | 2022 | 48 | |
| 12 | 2016 | 45 | |
| 13 | 2021 | 44 | |
| 14 | 2014 | 41 | |
| 15 | 2020 | 40 | |
| 16 | 2021 | 39 | |
| 17 | 2010 | 37 | |
| 18 | 2012 | 36 | |
| 19 | 2020 | 36 | |
| 20 | 2017 | 34 |
About Hua Chen
Hua Chen is a scholar working on Rheumatology, Immunology, Physiology, Molecular Biology and Ophthalmology, having authored 95 papers that have together received 2.0k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (14 papers), Salivary Gland Disorders and Functions (14 papers), Ocular Diseases and Behçet’s Syndrome (7 papers), T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers), Rheumatoid Arthritis Research and Therapies (5 papers), IgG4-Related and Inflammatory Diseases (4 papers) and Liver Diseases and Immunity (4 papers). The work is most often cited by research in Rheumatology (545 citations), Immunology (522 citations), Physiology (246 citations), Molecular Medicine (50 citations) and Cancer Research (139 citations). Hua Chen has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Xuan Zhang, Liuting Zeng, Lidan Zhao, Fengchun Zhang, Kailin Yang, Wenjie Zheng, Huaxia Yang, Ganpeng Yu, Xiang Wang and Lijun Wu. Their work appears in journals such as Frontiers in Immunology, Annals of the Rheumatic Diseases, Clinical Immunology, PLoS ONE and 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.