Qingran Yan
Impact in
- Rheumatology top 10%
- Systemic Lupus Erythematosus Research
- Rheumatoid Arthritis Research and Therapies
- Obstetrics and Gynecology top 10%
- Gynecological conditions and treatments
Papers in
-
- Systemic Lupus Erythematosus Research 6
- Eosinophilic Disorders and Syndromes 2
-
- Systemic Sclerosis and Related Diseases 8
- Co-authors
- Qiong Fu (7 shared papers)Xinfang Huang (3 shared papers)Chunde Bao (10 shared papers)Jie Chen (2 shared papers)Wei Li (1 shared paper)Xiaodong Wang (2 shared papers)Fang Du (5 shared papers)Liangjing Lu (9 shared papers)
- Journals
- Arthritis Research & Therapy (4 papers)Clinical Rheumatology (3 papers)Annals of the Rheumatic Diseases (3 papers)PLoS ONE (2 papers)Frontiers in Medicine (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Qingran Yan
31 papers receiving 471 citations
Peers
Comparison fields: 5 of 66
- Rheumatology 94
- Obstetrics and Gynecology 44
- Pathology and Forensic Medicine 68
- Immunology 83
- Transplantation 7
Countries citing papers authored by Qingran Yan
This map shows the geographic impact of Qingran Yan'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 Qingran Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingran Yan more than expected).
Fields of papers citing papers by Qingran Yan
This network shows the impact of papers produced by Qingran Yan. 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 Qingran Yan. The network helps show where Qingran Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingran Yan, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 62 | |
| 2 | 2015 | 52 | |
| 3 | 2014 | 47 | |
| 4 | 2007 | 46 | |
| 5 | 2019 | 36 | |
| 6 | 2021 | 27 | |
| 7 | 2014 | 27 | |
| 8 | 2014 | 21 | |
| 9 | 2023 | 18 | |
| 10 | 2022 | 17 | |
| 11 | 2015 | 16 | |
| 12 | 2023 | 14 | |
| 13 | 2020 | 14 | |
| 14 | 2022 | 12 | |
| 15 | 2016 | 12 | |
| 16 | 2021 | 11 | |
| 17 | 2021 | 9 | |
| 18 | 2021 | 6 | |
| 19 | 2020 | 5 | |
| 20 | 2024 | 5 |
About Qingran Yan
Qingran Yan is a scholar working on Rheumatology, Pathology and Forensic Medicine, Molecular Biology, Dermatology and Epidemiology, having authored 31 papers that have together received 476 indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (8 papers), Systemic Lupus Erythematosus Research (6 papers), Skin Diseases and Diabetes (3 papers), Dermatologic Treatments and Research (2 papers), Inflammatory Myopathies and Dermatomyositis (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Eosinophilic Disorders and Syndromes (2 papers). The work is most often cited by research in Rheumatology (94 citations), Obstetrics and Gynecology (44 citations), Pathology and Forensic Medicine (68 citations), Immunology (83 citations) and Transplantation (7 citations). Qingran Yan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qiong Fu, Xinfang Huang, Chunde Bao, Jie Chen, Wei Li, Xiaodong Wang, Fang Du, Liangjing Lu, Sheng Chen and Yanwei Lin. Their work appears in journals such as Arthritis Research & Therapy, Clinical Rheumatology, Annals of the Rheumatic Diseases, PLoS ONE and Frontiers in 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.