Yanmei Liu
Impact in
- Hepatology top 5%
- Reproductive Medicine top 5%
- Ovarian function and disorders
Papers in
-
- CRISPR and Genetic Engineering 8
- Surgery 15
- Pancreatic function and diabetes 9
- Co-authors
- Yufu Zhang (2 shared papers)Minpeng Hu (2 shared papers)Randy A. Dahlgren (2 shared papers)Dingjiang Chen (2 shared papers)Xin Sun (12 shared papers)Kang Zou (8 shared papers)Liangyi Chen (9 shared papers)Ji‐Feng Fei (13 shared papers)
- Journals
- Clinical Therapeutics (8 papers)Nature Communications (4 papers)PLoS ONE (2 papers)Frontiers in Aging Neuroscience (2 papers)Journal of Evidence-Based Medicine (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yanmei Liu
128 papers receiving 2.2k citations
Yanmei Liu's Hit Papers
Peers
Comparison fields: 5 of 166
- Hepatology 122
- Reproductive Medicine 123
- Geochemistry and Petrology 93
- Environmental Chemistry 157
- Endocrinology, Diabetes and Metabolism 234
Countries citing papers authored by Yanmei Liu
This map shows the geographic impact of Yanmei Liu'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 Yanmei Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanmei Liu more than expected).
Fields of papers citing papers by Yanmei Liu
This network shows the impact of papers produced by Yanmei Liu. 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 Yanmei Liu. The network helps show where Yanmei Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanmei Liu, 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 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 129 | |
| 2 | 2020 | 127 | |
| 3 | 2018 | 117 | |
| 4 | 2020 | 115 | |
| 5 | 2020 | 113 | |
| 6 | 2014 | 72 | |
| 7 | 2014 | 71 | |
| 8 | 2021 | 67 | |
| 9 | 2010 | 50 | |
| 10 | 2013 | 49 | |
| 11 | 2020 | 48 | |
| 12 | 2019 | 44 | |
| 13 | 2015 | 43 | |
| 14 | 2022 | 42 | |
| 15 | 2017 | 41 | |
| 16 | 2013 | 40 | |
| 17 | 2023 | 39 | |
| 18 | 2014 | 38 | |
| 19 | 2017 | 38 | |
| 20 | 2021 | 37 |
About Yanmei Liu
Yanmei Liu is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Genetics and Pharmacology, having authored 141 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), CRISPR and Genetic Engineering (8 papers), Diabetes and associated disorders (6 papers), Diabetes Treatment and Management (6 papers), Neurological disorders and treatments (5 papers), Acupuncture Treatment Research Studies (3 papers), Healthcare and Venom Research (3 papers) and Calcium Carbonate Crystallization and Inhibition (3 papers). The work is most often cited by research in Hepatology (122 citations), Reproductive Medicine (123 citations), Geochemistry and Petrology (93 citations), Environmental Chemistry (157 citations) and Endocrinology, Diabetes and Metabolism (234 citations). Yanmei Liu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yufu Zhang, Minpeng Hu, Randy A. Dahlgren, Dingjiang Chen, Xin Sun, Kang Zou, Liangyi Chen, Ji‐Feng Fei, Hong Lin and Zhiling Li. Their work appears in journals such as Clinical Therapeutics, Nature Communications, PLoS ONE, Frontiers in Aging Neuroscience and Journal of Evidence-Based 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.