Wanlong Wu
Impact in
- Rheumatology top 5%
- Eosinophilic Disorders and Syndromes
- Systemic Lupus Erythematosus Research
- Epidemiology top 10%
- Inflammatory Myopathies and Dermatomyositis
Papers in
- Epidemiology 20
- Inflammatory Myopathies and Dermatomyositis 17
- Rheumatology 13
- Eosinophilic Disorders and Syndromes 6
- Systemic Lupus Erythematosus Research 5
- Co-authors
- Shuang Ye (24 shared papers)Wenwen Xu (13 shared papers)Danting Zhang (7 shared papers)Kaiwen Wang (6 shared papers)Zhiwei Chen (5 shared papers)Yakai Fu (7 shared papers)Li Guo (2 shared papers)Xiaodong Wang (14 shared papers)
- Journals
- Frontiers in Immunology (4 papers)Frontiers in Medicine (4 papers)Clinical Rheumatology (3 papers)Scientific Reports (2 papers)Lupus Science & Medicine (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Wanlong Wu
27 papers receiving 473 citations
Peers
Comparison fields: 5 of 53
- Rheumatology 207
- Epidemiology 274
- Pathology and Forensic Medicine 142
- Dermatology 60
- Pulmonary and Respiratory Medicine 181
Countries citing papers authored by Wanlong Wu
This map shows the geographic impact of Wanlong Wu'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 Wanlong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanlong Wu more than expected).
Fields of papers citing papers by Wanlong Wu
This network shows the impact of papers produced by Wanlong Wu. 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 Wanlong Wu. The network helps show where Wanlong Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanlong Wu, 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 | 2021 | 116 | |
| 2 | 2018 | 87 | |
| 3 | 2021 | 39 | |
| 4 | 2021 | 25 | |
| 5 | 2021 | 24 | |
| 6 | 2021 | 21 | |
| 7 | 2015 | 19 | |
| 8 | 2017 | 16 | |
| 9 | 2023 | 15 | |
| 10 | 2019 | 14 | |
| 11 | 2020 | 14 | |
| 12 | 2022 | 14 | |
| 13 | 2021 | 11 | |
| 14 | 2022 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2022 | 7 | |
| 17 | 2022 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2019 | 6 | |
| 20 | 2023 | 5 |
About Wanlong Wu
Wanlong Wu is a scholar working on Epidemiology, Rheumatology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Dermatology, having authored 31 papers that have together received 475 indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (17 papers), Systemic Sclerosis and Related Diseases (6 papers), Eosinophilic Disorders and Syndromes (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Systemic Lupus Erythematosus Research (5 papers), Skin Diseases and Diabetes (3 papers), Autoimmune and Inflammatory Disorders Research (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Rheumatology (207 citations), Epidemiology (274 citations), Pathology and Forensic Medicine (142 citations), Dermatology (60 citations) and Pulmonary and Respiratory Medicine (181 citations). Wanlong Wu has collaborated with scholars based in China, United States and France. Frequent co-authors include Shuang Ye, Wenwen Xu, Danting Zhang, Kaiwen Wang, Zhiwei Chen, Yakai Fu, Li Guo, Xiaodong Wang, Rucsandra Dobrotă and Oliver Distler. Their work appears in journals such as Frontiers in Immunology, Frontiers in Medicine, Clinical Rheumatology, Scientific Reports and Lupus Science & 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.