Mei Yuan
- Molecular Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 5%
- Surgery top 10%
- Immunology top 5%
- Co-authors
- Young Seo KimCarolyn K. MontgomeryThomas KjeldsenW. L. BigbeeHiroaki TakahashiQuanyi GuoShibi LuShuyun Liu
- Topics
- Radiomics and Machine Learning in Medical Imaging (21 papers)Lung Cancer Diagnosis and Treatment (17 papers)Osteoarthritis Treatment and Mechanisms (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaBiomaterialsScientific Reports
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Mei Yuan
87 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 896
- Radiology, Nuclear Medicine and Imaging 669
- Pulmonary and Respiratory Medicine 540
- Surgery 463
- Immunology 439
Countries citing papers authored by Mei Yuan
This map shows the geographic impact of Mei Yuan'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 Mei Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Yuan more than expected).
Fields of papers citing papers by Mei Yuan
This network shows the impact of papers produced by Mei Yuan. 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 Mei Yuan. The network helps show where Mei Yuan may publish in the future.
Co-authorship network of co-authors of Mei Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Mei Yuan. A scholar is included among the top collaborators of Mei Yuan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mei Yuan. Mei Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | Six-month Follow-up Chest CT Findings after Severe COVID-19 Pneumoniabreakdown → | 375 |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 17 | |
| 12 | 0 | |
| 13 | 2 | |
| 14 | 21 | |
| 15 | [Study on the population-genetics of Mycobacterium tuberculosis from Sichuan Basin in China]. | 4 |
| 16 | 6 | |
| 17 | 65 | |
| 18 | 47 | |
| 19 | 5 | |
| 20 | 1 |
About Mei Yuan
Mei Yuan is a scholar working on Radiology, Nuclear Medicine and Imaging, Rheumatology and Pulmonary and Respiratory Medicine, having authored 95 papers that have together received 2.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (21 papers), Lung Cancer Diagnosis and Treatment (17 papers) and Osteoarthritis Treatment and Mechanisms (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (669 citations), Genetics (293 citations) and Rheumatology (334 citations). Mei Yuan has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Young Seo Kim, Carolyn K. Montgomery, Thomas Kjeldsen, W. L. Bigbee, Hiroaki Takahashi, Quanyi Guo, Shibi Lu, Shuyun Liu, Jiang Peng and Jane E. Norman. Their work appears in journals such as SHILAP Revista de lepidopterología, Biomaterials and Scientific Reports.
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.