Yanming Li
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- RNA modifications and cancer 7
- Congenital heart defects research 4
- Single-cell and spatial transcriptomics 3
-
- Aortic Disease and Treatment Approaches 4
- Aortic aneurysm repair treatments 4
- Co-authors
- Scott A. LeMaire (13 shared papers)Ying H. Shen (13 shared papers)Joseph S. Coselli (5 shared papers)Wei Luo (4 shared papers)Jun Hayashi (1 shared paper)K. G. Moore (1 shared paper)Kazuo Tanaka (1 shared paper)Xinyi Huang (1 shared paper)
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (5 papers)Blood (3 papers)Medicine (3 papers)Circulation (3 papers)Biomedicine & Pharmacotherapy (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yanming Li
93 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 127
- Molecular Medicine 120
- Cancer Research 335
- Immunology 362
- Molecular Biology 928
- Endocrinology 54
Countries citing papers authored by Yanming Li
This map shows the geographic impact of Yanming 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 Yanming Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanming Li more than expected).
Fields of papers citing papers by Yanming Li
This network shows the impact of papers produced by Yanming 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 Yanming Li. The network helps show where Yanming Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanming 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 207 | |
| 2 | 2019 | 203 | |
| 3 | 1995 | 142 | |
| 4 | 2015 | 101 | |
| 5 | 2005 | 90 | |
| 6 | 2023 | 80 | |
| 7 | 2008 | 79 | |
| 8 | 2020 | 77 | |
| 9 | 2018 | 73 | |
| 10 | 2015 | 70 | |
| 11 | 2013 | 63 | |
| 12 | 2017 | 62 | |
| 13 | 2021 | 61 | |
| 14 | 2018 | 61 | |
| 15 | 2003 | 54 | |
| 16 | 2021 | 45 | |
| 17 | 2015 | 43 | |
| 18 | 2020 | 43 | |
| 19 | 2017 | 40 | |
| 20 | 2016 | 35 |
About Yanming Li
Yanming Li is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Surgery and Epidemiology, having authored 104 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), Antibiotic Resistance in Bacteria (7 papers), MicroRNA in disease regulation (7 papers), RNA modifications and cancer (7 papers), Congenital heart defects research (4 papers), Aortic Disease and Treatment Approaches (4 papers), Aortic aneurysm repair treatments (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Molecular Medicine (120 citations), Cancer Research (335 citations), Immunology (362 citations), Molecular Biology (928 citations) and Endocrinology (54 citations). Yanming Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Scott A. LeMaire, Ying H. Shen, Joseph S. Coselli, Wei Luo, Jun Hayashi, K. G. Moore, Kazuo Tanaka, Xinyi Huang, Xiaoming Zhong and Pingping Ren. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Blood, Medicine, Circulation and Biomedicine & Pharmacotherapy.
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.