Yaming Li
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Extracellular vesicles in disease
Papers in
-
- Cancer-related molecular mechanisms research 23
- MicroRNA in disease regulation 19
- Breast Cancer Treatment Studies 6
-
- Hepatitis C virus research 7
- Co-authors
- Qifeng YangYiran LiangHanwen ZhangNing ZhangYing LiuBing ChenWenjing ZhaoYuting Sang
- Journals
- Cell Death and Disease (8 papers)Oncogene (5 papers)Cancer Medicine (4 papers)Journal of Cellular Physiology (3 papers)Hepatology (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yaming Li
71 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Cancer Research 1.8k
- Molecular Biology 2.1k
- Hepatology 129
- Geriatrics and Gerontology 38
- Epidemiology 318
Countries citing papers authored by Yaming Li
This map shows the geographic impact of Yaming 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 Yaming Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaming Li more than expected).
Fields of papers citing papers by Yaming Li
This network shows the impact of papers produced by Yaming 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 Yaming Li. The network helps show where Yaming Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yaming 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 10 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 38 | |
| 9 | 2023 | 62 | |
| 10 | 2022 | 131 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 16 | |
| 13 | 2020 | 28 | |
| 14 | 2020 | 48 | |
| 15 | 2019 | 107 | |
| 16 | circRNA_0025202 Regulates Tamoxifen Sensitivity and Tumor Progression via Regulating the miR-182-5p/FOXO3a Axis in Breast Cancer Hit paper breakdown → | 2019 | 340 |
| 17 | 2019 | 65 | |
| 18 | 2018 | 233 | |
| 19 | 2017 | 50 | |
| 20 | 2015 | 19 |
About Yaming Li
Yaming Li is a scholar working on Cancer Research, Hepatology, Molecular Biology, Virology and Epidemiology, having authored 77 papers that have together received 2.6k indexed citations. Recurring topics across this work include Circular RNAs in diseases (26 papers), Cancer-related molecular mechanisms research (23 papers), MicroRNA in disease regulation (19 papers), Hepatitis B Virus Studies (13 papers), RNA modifications and cancer (13 papers), Hepatitis C virus research (7 papers), RNA Research and Splicing (7 papers) and Breast Cancer Treatment Studies (6 papers). The work is most often cited by research in Cancer Research (1.8k citations), Molecular Biology (2.1k citations), Hepatology (129 citations), Geriatrics and Gerontology (38 citations) and Epidemiology (318 citations). Yaming Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Qifeng Yang, Yiran Liang, Hanwen Zhang, Ning Zhang, Ying Liu, Bing Chen, Wenjing Zhao, Yuting Sang, Xiaojin Song and Xiaolong Wang. Their work appears in journals such as Cell Death and Disease, Oncogene, Cancer Medicine, Journal of Cellular Physiology and Hepatology.
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.