Mei Li
Impact in
- Nephrology top 5%
- Parathyroid Disorders and Treatments
- Oncology top 10%
- Bone health and treatments
- Viral-associated cancers and disorders
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 62
- Bone health and treatments 28
- Cancer Immunotherapy and Biomarkers 7
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- Bone Metabolism and Diseases 10
- Co-authors
- Xiaoping Xing (36 shared papers)Weibo Xia (35 shared papers)Yan Jiang (30 shared papers)Ou Wang (25 shared papers)Jia Fu (2 shared papers)Zhong-Yu Yuan (1 shared paper)Xunwu Meng (9 shared papers)Hong Xia (2 shared papers)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (11 papers)Calcified Tissue International (7 papers)Bone (3 papers)OncoTargets and Therapy (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Mei Li
82 papers receiving 849 citations
Peers
Comparison fields: 5 of 107
- Nephrology 107
- Oncology 367
- Orthopedics and Sports Medicine 77
- Pathology and Forensic Medicine 131
- Cancer Research 82
Countries citing papers authored by Mei Li
This map shows the geographic impact of Mei Li'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 Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Li more than expected).
Fields of papers citing papers by Mei Li
This network shows the impact of papers produced by Mei Li. 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 Li. The network helps show where Mei Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Mei Li, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 74 | |
| 2 | 2013 | 67 | |
| 3 | 2019 | 55 | |
| 4 | 2017 | 47 | |
| 5 | 2014 | 33 | |
| 6 | 2016 | 29 | |
| 7 | 2022 | 28 | |
| 8 | 2017 | 25 | |
| 9 | 2021 | 24 | |
| 10 | 2020 | 24 | |
| 11 | 2019 | 22 | |
| 12 | 2014 | 20 | |
| 13 | 2014 | 20 | |
| 14 | 2012 | 19 | |
| 15 | 2013 | 18 | |
| 16 | 2021 | 17 | |
| 17 | 2023 | 17 | |
| 18 | 2013 | 16 | |
| 19 | 2016 | 14 | |
| 20 | 2023 | 13 |
About Mei Li
Mei Li is a scholar working on Oncology, Molecular Biology, Orthopedics and Sports Medicine, Nephrology and Pathology and Forensic Medicine, having authored 90 papers that have together received 857 indexed citations. Recurring topics across this work include Bone health and treatments (28 papers), Bone health and osteoporosis research (13 papers), Parathyroid Disorders and Treatments (13 papers), Bone Metabolism and Diseases (10 papers), Cancer Immunotherapy and Biomarkers (7 papers), Connective tissue disorders research (5 papers), Breast Cancer Treatment Studies (5 papers) and Pharmacological Effects and Toxicity Studies (4 papers). The work is most often cited by research in Nephrology (107 citations), Oncology (367 citations), Orthopedics and Sports Medicine (77 citations), Pathology and Forensic Medicine (131 citations) and Cancer Research (82 citations). Mei Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaoping Xing, Weibo Xia, Yan Jiang, Ou Wang, Jia Fu, Zhong-Yu Yuan, Xunwu Meng, Hong Xia, Xueying Zhou and Qianqian Pang. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Calcified Tissue International, Bone, OncoTargets and Therapy and Journal of Clinical Oncology.
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.