Xiaoping Hong
Impact in
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Psoriasis: Treatment and Pathogenesis
Papers in
- Rheumatology 25
- Systemic Lupus Erythematosus Research 15
- Spondyloarthritis Studies and Treatments 6
- Rheumatoid Arthritis Research and Therapies 5
- Co-authors
- Dongzhou Liu (45 shared papers)Donge Tang (27 shared papers)Yong Dai (27 shared papers)Fengping Zheng (15 shared papers)Liping Ding (8 shared papers)Lianghong Yin (14 shared papers)Lixiong Liu (14 shared papers)Weier Dai (11 shared papers)
- Journals
- Frontiers in Immunology (11 papers)Aging (3 papers)Annals of the Rheumatic Diseases (3 papers)Scientific Reports (3 papers)Clinical Rheumatology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaoping Hong
65 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 109
- Rheumatology 255
- Immunology 303
- Physiology 177
- Developmental Neuroscience 28
- Dermatology 44
Countries citing papers authored by Xiaoping Hong
This map shows the geographic impact of Xiaoping Hong'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 Xiaoping Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoping Hong more than expected).
Fields of papers citing papers by Xiaoping Hong
This network shows the impact of papers produced by Xiaoping Hong. 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 Xiaoping Hong. The network helps show where Xiaoping Hong may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoping Hong, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 81 | |
| 2 | 2021 | 80 | |
| 3 | 2009 | 77 | |
| 4 | 2021 | 66 | |
| 5 | 2017 | 59 | |
| 6 | 2018 | 58 | |
| 7 | 2023 | 57 | |
| 8 | 2022 | 46 | |
| 9 | 2020 | 40 | |
| 10 | 2023 | 39 | |
| 11 | 2017 | 35 | |
| 12 | 2022 | 33 | |
| 13 | 2021 | 33 | |
| 14 | 2012 | 27 | |
| 15 | 2022 | 26 | |
| 16 | 2022 | 25 | |
| 17 | 2021 | 23 | |
| 18 | 2021 | 20 | |
| 19 | 2015 | 20 | |
| 20 | 2021 | 16 |
About Xiaoping Hong
Xiaoping Hong is a scholar working on Rheumatology, Molecular Biology, Immunology, Physiology and Oncology, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (15 papers), Salivary Gland Disorders and Functions (7 papers), T-cell and B-cell Immunology (6 papers), Spondyloarthritis Studies and Treatments (6 papers), Rheumatoid Arthritis Research and Therapies (5 papers), Psoriasis: Treatment and Pathogenesis (5 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Inflammatory Myopathies and Dermatomyositis (3 papers). The work is most often cited by research in Rheumatology (255 citations), Immunology (303 citations), Physiology (177 citations), Developmental Neuroscience (28 citations) and Dermatology (44 citations). Xiaoping Hong has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Dongzhou Liu, Donge Tang, Yong Dai, Fengping Zheng, Liping Ding, Lianghong Yin, Lixiong Liu, Weier Dai, Jingquan He and Shuhui Meng. Their work appears in journals such as Frontiers in Immunology, Aging, Annals of the Rheumatic Diseases, Scientific Reports 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.