Fengdan Wang
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Eosinophilic Disorders and Syndromes
Papers in
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- Eosinophilic Disorders and Syndromes 4
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- Histiocytic Disorders and Treatments 6
- Co-authors
- Zhengyu Jin (16 shared papers)Yan Zhang (9 shared papers)Daobin Zhou (8 shared papers)Hui Pan (4 shared papers)Xinxin Cao (6 shared papers)Wei Han (2 shared papers)Xiao Gu (2 shared papers)Qian Wang (3 shared papers)
- Journals
- British Journal of Radiology (3 papers)PeerJ (2 papers)European Radiology (2 papers)American Journal of Roentgenology (2 papers)Orphanet Journal of Rare Diseases (2 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Fengdan Wang
39 papers receiving 318 citations
Peers
Comparison fields: 5 of 53
- Health Informatics 13
- Rheumatology 41
- Physiology 56
- Radiology, Nuclear Medicine and Imaging 48
- Archeology 20
Countries citing papers authored by Fengdan Wang
This map shows the geographic impact of Fengdan Wang'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 Fengdan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengdan Wang more than expected).
Fields of papers citing papers by Fengdan Wang
This network shows the impact of papers produced by Fengdan Wang. 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 Fengdan Wang. The network helps show where Fengdan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengdan Wang, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 33 | |
| 2 | 2020 | 26 | |
| 3 | 2022 | 23 | |
| 4 | 2018 | 18 | |
| 5 | 2022 | 17 | |
| 6 | 2018 | 16 | |
| 7 | 2016 | 15 | |
| 8 | 2016 | 15 | |
| 9 | 2019 | 15 | |
| 10 | Janus kinase inhibitor tofacitinib is a potential therapeutic option for refractory eosinophilic fasciitis. | 2020 | 13 |
| 11 | 2019 | 12 | |
| 12 | 2019 | 11 | |
| 13 | 2018 | 11 | |
| 14 | 2023 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2020 | 7 | |
| 18 | 2016 | 7 | |
| 19 | 2016 | 6 | |
| 20 | 2024 | 6 |
About Fengdan Wang
Fengdan Wang is a scholar working on Rheumatology, Physiology, Surgery, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 40 papers that have together received 322 indexed citations. Recurring topics across this work include Histiocytic Disorders and Treatments (6 papers), Inflammatory Myopathies and Dermatomyositis (4 papers), Eosinophilic Disorders and Syndromes (4 papers), Forensic Anthropology and Bioarchaeology Studies (2 papers), Advanced X-ray and CT Imaging (2 papers), Parvovirus B19 Infection Studies (2 papers), Cardiac tumors and thrombi (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Health Informatics (13 citations), Rheumatology (41 citations), Physiology (56 citations), Radiology, Nuclear Medicine and Imaging (48 citations) and Archeology (20 citations). Fengdan Wang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Zhengyu Jin, Yan Zhang, Daobin Zhou, Hui Pan, Xinxin Cao, Wei Han, Xiao Gu, Qian Wang, Yongliang Liu and Na Niu. Their work appears in journals such as British Journal of Radiology, PeerJ, European Radiology, American Journal of Roentgenology and Orphanet Journal of Rare Diseases.
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.