Xiaodong Zhou
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- Systemic Sclerosis and Related Diseases 32
- Hematology top 2%
- Dermatology top 1%
- Rheumatology top 2%
- Spondyloarthritis Studies and Treatments 6
- Systemic Lupus Erythematosus Research 6
- Immunology top 5%
- Mast cells and histamine 6
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 11
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- Inflammatory Myopathies and Dermatomyositis 8
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- Connective Tissue Growth Factor Research 8
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- Dermatological and Skeletal Disorders 6
- Co-authors
- Frank C. ArnettJohn D. ReveilleJin LiFilemon K. TanMaureen D. MayesXinjian GuoMomiao XiongJiucun Wang
- Partner nations
- United StatesChinaCanada
In The Last Decade
Xiaodong Zhou
70 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 115
- Pathology and Forensic Medicine 1.1k
- Hematology 464
- Dermatology 314
- Rheumatology 461
- Immunology 612
Countries citing papers authored by Xiaodong Zhou
This map shows the geographic impact of Xiaodong Zhou'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 Xiaodong Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodong Zhou more than expected).
Fields of papers citing papers by Xiaodong Zhou
This network shows the impact of papers produced by Xiaodong Zhou. 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 Xiaodong Zhou. The network helps show where Xiaodong Zhou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaodong Zhou, 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 | 4 | |
| 2 | 2022 | 10 | |
| 3 | 2021 | 1 | |
| 4 | 2019 | 22 | |
| 5 | 2017 | 34 | |
| 6 | 2017 | 68 | |
| 7 | 2017 | 51 | |
| 8 | 2016 | 74 | |
| 9 | 2015 | 18 | |
| 10 | Shared HLA Class I and II Alleles in Susceptibility to Ankylosing Spondylitis Among Three Ethnic Groups. | 2014 | 1 |
| 11 | 2014 | 25 | |
| 12 | 2014 | 23 | |
| 13 | 2014 | 19 | |
| 14 | 2013 | 47 | |
| 15 | 2006 | 42 | |
| 16 | 2005 | 64 | |
| 17 | 2005 | 49 | |
| 18 | 2002 | 59 | |
| 19 | 2001 | 56 | |
| 20 | 1991 | 97 |
About Xiaodong Zhou
Xiaodong Zhou is a scholar working on Pathology and Forensic Medicine, Rheumatology and Dermatology, having authored 70 papers that have together received 3.1k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (32 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (11 papers), Inflammatory Myopathies and Dermatomyositis (8 papers), Connective Tissue Growth Factor Research (8 papers), Spondyloarthritis Studies and Treatments (6 papers), Dermatological and Skeletal Disorders (6 papers), Systemic Lupus Erythematosus Research (6 papers) and Mast cells and histamine (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.1k citations), Hematology (464 citations) and Dermatology (314 citations). Xiaodong Zhou has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Frank C. Arnett, John D. Reveille, Jin Li, Filemon K. Tan, Maureen D. Mayes, Xinjian Guo, Momiao Xiong, Jiucun Wang, Carol Feghali‐Bostwick and James R. Downing. Their work appears in journals such as Nature Communications, Blood and The Journal of 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.