Min Xiao
Impact in
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
- Rheumatology top 10%
- Spondyloarthritis Studies and Treatments
- Systemic Lupus Erythematosus Research
- Rheumatoid Arthritis Research and Therapies
Papers in
-
- Spondyloarthritis Studies and Treatments 5
- Systemic Lupus Erythematosus Research 2
- Eosinophilic Disorders and Syndromes 2
-
- Gout, Hyperuricemia, Uric Acid 6
- Co-authors
- Jieruo Gu (10 shared papers)Shuangyan Cao (7 shared papers)Qiujing Wei (8 shared papers)Liudan Tu (6 shared papers)Yutong Jiang (7 shared papers)Yefei Huang (4 shared papers)Qing Lv (4 shared papers)Jun Qi (3 shared papers)
In The Last Decade
Min Xiao
23 papers receiving 254 citations
Peers
Comparison fields: 5 of 47
- Nephrology 43
- Rheumatology 81
- Biochemistry 10
- Applied Microbiology and Biotechnology 3
- Immunology 30
Countries citing papers authored by Min Xiao
This map shows the geographic impact of Min Xiao'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 Min Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Xiao more than expected).
Fields of papers citing papers by Min Xiao
This network shows the impact of papers produced by Min Xiao. 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 Min Xiao. The network helps show where Min Xiao may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Xiao, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 30 | |
| 2 | 2020 | 29 | |
| 3 | 2020 | 28 | |
| 4 | 2021 | 24 | |
| 5 | 2022 | 22 | |
| 6 | 2021 | 18 | |
| 7 | 2019 | 17 | |
| 8 | 2020 | 16 | |
| 9 | 2018 | 13 | |
| 10 | 2017 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2020 | 6 | |
| 13 | 2022 | 6 | |
| 14 | 2019 | 5 | |
| 15 | 2020 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2022 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2019 | 1 | |
| 20 | Study on the spray drying process of perilla extract | 2009 | 1 |
About Min Xiao
Min Xiao is a scholar working on Rheumatology, Nephrology, Molecular Biology, Pathology and Forensic Medicine and Oncology, having authored 29 papers that have together received 254 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (6 papers), Spondyloarthritis Studies and Treatments (5 papers), Phytochemicals and Antioxidant Activities (2 papers), Inflammatory Myopathies and Dermatomyositis (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Systemic Lupus Erythematosus Research (2 papers), Eosinophilic Disorders and Syndromes (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Nephrology (43 citations), Rheumatology (81 citations), Biochemistry (10 citations), Applied Microbiology and Biotechnology (3 citations) and Immunology (30 citations). Min Xiao has collaborated with scholars based in China, Hong Kong and Malaysia. Frequent co-authors include Jieruo Gu, Shuangyan Cao, Qiujing Wei, Liudan Tu, Yutong Jiang, Yefei Huang, Qing Lv, Jun Qi, Jianyong Zhang and Mingcan Yang. Their work appears in journals such as Frontiers in Immunology, Clinical Rheumatology, Arthritis Research & Therapy, Lara D. Veeken and Frontiers in Pharmacology.
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.