Wanlong Wu
Impact in
- Epidemiology top 10%
- Inflammatory Myopathies and Dermatomyositis
- Rheumatology top 10%
- Eosinophilic Disorders and Syndromes
- Systemic Lupus Erythematosus Research
Papers in
- Epidemiology 20
- Inflammatory Myopathies and Dermatomyositis 17
- Rheumatology 10
- Systemic Lupus Erythematosus Research 5
- Eosinophilic Disorders and Syndromes 3
- Co-authors
- Shuang Ye (25 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 (15 shared papers)
- Journals
- Frontiers in Immunology (4 papers)Frontiers in Medicine (4 papers)Clinical Rheumatology (3 papers)Lara D. Veeken (2 papers)Lupus Science & Medicine (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Wanlong Wu
29 papers receiving 496 citations
Peers
Comparison fields: 5 of 44
- Epidemiology 262
- Rheumatology 107
- Pathology and Forensic Medicine 112
- Dermatology 32
- Pulmonary and Respiratory Medicine 112
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 124 | |
| 2 | 2018 | 91 | |
| 3 | 2021 | 41 | |
| 4 | 2021 | 25 | |
| 5 | 2021 | 24 | |
| 6 | 2021 | 23 | |
| 7 | 2015 | 19 | |
| 8 | 2017 | 17 | |
| 9 | 2023 | 16 | |
| 10 | 2019 | 14 | |
| 11 | 2022 | 14 | |
| 12 | 2020 | 14 | |
| 13 | 2021 | 11 | |
| 14 | 2022 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2020 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2023 | 6 | |
| 20 | 2019 | 6 |
About Wanlong Wu
Wanlong Wu is a scholar working on Epidemiology, Rheumatology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Molecular Biology, having authored 32 papers that have together received 498 indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (17 papers), Systemic Lupus Erythematosus Research (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Systemic Sclerosis and Related Diseases (3 papers), Eosinophilic Disorders and Syndromes (3 papers), Sarcoma Diagnosis and Treatment (1 paper), Ferroptosis and cancer prognosis (1 paper) and Vasculitis and related conditions (1 paper). The work is most often cited by research in Epidemiology (262 citations), Rheumatology (107 citations), Pathology and Forensic Medicine (112 citations), Dermatology (32 citations) and Pulmonary and Respiratory Medicine (112 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, Zhiwei Chen and Håvard Fretheim. Their work appears in journals such as Frontiers in Immunology, Frontiers in Medicine, Clinical Rheumatology, Lara D. Veeken 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.