Lidi Wan
Impact in
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- Bone health and osteoporosis research
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- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Medical Imaging Techniques and Applications
Papers in
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- Advanced MRI Techniques and Applications 10
- Advanced Neuroimaging Techniques and Applications 2
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- Osteoarthritis Treatment and Mechanisms 5
- Co-authors
- Eric Yao Chang (18 shared papers)Yajun Ma (16 shared papers)Jiang Du (18 shared papers)Saeed Jerban (11 shared papers)Hyungseok Jang (8 shared papers)Adam C. Searleman (9 shared papers)Zhao Wei (3 shared papers)Jonathan Wong (6 shared papers)
- Journals
- NMR in Biomedicine (6 papers)Magnetic Resonance in Medicine (3 papers)Bone (2 papers)Journal of Shoulder and Elbow Surgery (1 paper)Cerebral Cortex (1 paper)
- Partner nations
- United StatesChinaPoland
In The Last Decade
Lidi Wan
26 papers receiving 483 citations
Peers
Comparison fields: 5 of 56
- Orthopedics and Sports Medicine 99
- Radiology, Nuclear Medicine and Imaging 230
- Rheumatology 70
- Biophysics 18
- Surgery 76
Countries citing papers authored by Lidi Wan
This map shows the geographic impact of Lidi Wan'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 Lidi Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lidi Wan more than expected).
Fields of papers citing papers by Lidi Wan
This network shows the impact of papers produced by Lidi Wan. 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 Lidi Wan. The network helps show where Lidi Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Lidi Wan, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 61 | |
| 2 | 2019 | 49 | |
| 3 | 2019 | 40 | |
| 4 | 2018 | 38 | |
| 5 | 2019 | 37 | |
| 6 | 2019 | 36 | |
| 7 | 2019 | 26 | |
| 8 | 2019 | 23 | |
| 9 | 2019 | 22 | |
| 10 | 2020 | 22 | |
| 11 | 2019 | 19 | |
| 12 | 2018 | 15 | |
| 13 | 2018 | 13 | |
| 14 | 2019 | 12 | |
| 15 | 2020 | 11 | |
| 16 | 2021 | 9 | |
| 17 | 2019 | 9 | |
| 18 | 2020 | 8 | |
| 19 | 2019 | 7 | |
| 20 | 2020 | 7 |
About Lidi Wan
Lidi Wan is a scholar working on Radiology, Nuclear Medicine and Imaging, Rheumatology, Orthopedics and Sports Medicine, Surgery and Gastroenterology, having authored 26 papers that have together received 484 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (10 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Shoulder Injury and Treatment (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Diet and metabolism studies (1 paper), Advanced NMR Techniques and Applications (1 paper) and Kidney Stones and Urolithiasis Treatments (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (99 citations), Radiology, Nuclear Medicine and Imaging (230 citations), Rheumatology (70 citations), Biophysics (18 citations) and Surgery (76 citations). Lidi Wan has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Eric Yao Chang, Yajun Ma, Jiang Du, Saeed Jerban, Hyungseok Jang, Adam C. Searleman, Zhao Wei, Jonathan Wong, Guangyu Tang and Michael Carl. Their work appears in journals such as NMR in Biomedicine, Magnetic Resonance in Medicine, Bone, Journal of Shoulder and Elbow Surgery and Cerebral Cortex.
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.