Yan Li
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Pharmacology top 0.5%
Papers in
- Oncology 81
- Drug Transport and Resistance Mechanisms 31
-
- Cancer therapeutics and mechanisms 14
- RNA Interference and Gene Delivery 10
- Co-authors
- James William Paxton (17 shared papers)Jun Lu (14 shared papers)Hui Hong (3 shared papers)Ling Yang (3 shared papers)Longteng Zhang (3 shared papers)Shuai Zhuang (3 shared papers)Riya Biswas (5 shared papers)Fabrice Mérien (3 shared papers)
- Journals
- Frontiers in Pharmacology (6 papers)PLoS ONE (6 papers)Frontiers in Oncology (6 papers)Pharmaceutical Research (5 papers)Blood (5 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Yan Li
374 papers receiving 8.6k citations
Peers
Comparison fields: 5 of 176
- Cancer Research 1.2k
- Pharmacology 613
- Oncology 1.3k
- Molecular Biology 3.4k
- Animal Science and Zoology 492
Countries citing papers authored by Yan Li
This map shows the geographic impact of Yan 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 Yan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Li more than expected).
Fields of papers citing papers by Yan Li
This network shows the impact of papers produced by Yan 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 Yan Li. The network helps show where Yan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan 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 387 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 247 | |
| 2 | 2011 | 220 | |
| 3 | 2013 | 189 | |
| 4 | 2019 | 169 | |
| 5 | 2004 | 135 | |
| 6 | 2013 | 126 | |
| 7 | 2017 | 123 | |
| 8 | 2017 | 114 | |
| 9 | 2014 | 114 | |
| 10 | 2015 | 101 | |
| 11 | 2012 | 100 | |
| 12 | 2008 | 90 | |
| 13 | 2021 | 90 | |
| 14 | 2020 | 85 | |
| 15 | 2021 | 84 | |
| 16 | 2020 | 83 | |
| 17 | 2020 | 80 | |
| 18 | 2020 | 80 | |
| 19 | 2008 | 80 | |
| 20 | 2021 | 78 |
About Yan Li
Yan Li is a scholar working on Oncology, Molecular Biology, Cancer Research, Hematology and Pharmacology, having authored 387 papers that have together received 8.8k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (31 papers), Multiple Myeloma Research and Treatments (21 papers), Meat and Animal Product Quality (18 papers), Cancer-related molecular mechanisms research (16 papers), Cancer therapeutics and mechanisms (14 papers), MicroRNA in disease regulation (13 papers), RNA Interference and Gene Delivery (10 papers) and Nanoparticle-Based Drug Delivery (10 papers). The work is most often cited by research in Cancer Research (1.2k citations), Pharmacology (613 citations), Oncology (1.3k citations), Molecular Biology (3.4k citations) and Animal Science and Zoology (492 citations). Yan Li has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include James William Paxton, Jun Lu, Hui Hong, Ling Yang, Longteng Zhang, Shuai Zhuang, Riya Biswas, Fabrice Mérien, Wei‐Xin Hu and Jing Liu. Their work appears in journals such as Frontiers in Pharmacology, PLoS ONE, Frontiers in Oncology, Pharmaceutical Research and Blood.
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.