Xiaolin Sun
- Rheumatology top 2%
- Systemic Lupus Erythematosus Research 31
- Rheumatoid Arthritis Research and Therapies 11
- Immunology top 5%
- T-cell and B-cell Immunology 22
- Immune Cell Function and Interaction 6
- Marketing top 5%
- Hematology top 5%
- Cancer Research top 10%
-
- Monoclonal and Polyclonal Antibodies Research 19
-
- Salivary Gland Disorders and Functions 15
-
- Inflammatory Myopathies and Dermatomyositis 9
-
- Chronic Lymphocytic Leukemia Research 7
- Cited by
- RheumatologyImmunologyMarketing
- Journals
- Clinical and Experimental Rheumatology (8 papers)Clinical Rheumatology (8 papers)Journal of Immunology Research (6 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaolin Sun
133 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 158
- Rheumatology 503
- Immunology 657
- Marketing 157
- Hematology 178
- Cancer Research 208
Countries citing papers authored by Xiaolin Sun
This map shows the geographic impact of Xiaolin Sun'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 Xiaolin Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolin Sun more than expected).
Fields of papers citing papers by Xiaolin Sun
This network shows the impact of papers produced by Xiaolin Sun. 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 Xiaolin Sun. The network helps show where Xiaolin Sun may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaolin Sun, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 13 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 30 | |
| 10 | 2022 | 29 | |
| 11 | 2021 | 8 | |
| 12 | 2020 | 18 | |
| 13 | 2019 | 17 | |
| 14 | 2019 | 27 | |
| 15 | 2018 | 8 | |
| 16 | Lipopolysaccharide-binding protein is a sensitive disease activity biomarker for rheumatoid arthritis. | 2018 | 23 |
| 17 | 2018 | 66 | |
| 18 | 2018 | 11 | |
| 19 | 2017 | 17 | |
| 20 | 1994 | 7 |
About Xiaolin Sun
Xiaolin Sun is a scholar working on Rheumatology, Immunology, Radiology, Nuclear Medicine and Imaging, Genetics and Hematology, having authored 145 papers that have together received 2.4k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (31 papers), T-cell and B-cell Immunology (22 papers), Monoclonal and Polyclonal Antibodies Research (19 papers), Salivary Gland Disorders and Functions (15 papers), Rheumatoid Arthritis Research and Therapies (11 papers), Inflammatory Myopathies and Dermatomyositis (9 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Rheumatology (503 citations), Immunology (657 citations), Marketing (157 citations), Hematology (178 citations) and Cancer Research (208 citations). Xiaolin Sun has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhanguo Li, Yajiong Xue, Juanru Wang, Yang Jin, Jing He, Hong Xin, Yuzhou Gan, Yuhui Li, Peng Li and Miao Shao. Their work appears in journals such as Clinical and Experimental Rheumatology, Clinical Rheumatology, Journal of Immunology Research, Frontiers in Medicine and Frontiers in Immunology.
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.