Yan Li
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Pharmacology top 0.5%
Papers in
-
- Cancer therapeutics and mechanisms 14
- RNA Interference and Gene Delivery 10
- Oncology 80
- Drug Transport and Resistance Mechanisms 31
- Co-authors
- James W. Paxton (17 shared papers)Jun Lu (14 shared papers)Ling Yang (3 shared papers)Hui Hong (3 shared papers)Jing Liu (2 shared papers)Longteng Zhang (3 shared papers)Wei‐Xin Hu (2 shared papers)Shuai Zhuang (3 shared papers)
- Journals
- Blood (6 papers)PLoS ONE (6 papers)Frontiers in Oncology (6 papers)Frontiers in Pharmacology (6 papers)Pharmaceutical Research (5 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Yan Li
366 papers receiving 8.1k citations
Peers
Comparison fields: 5 of 181
- Cancer Research 1.1k
- Pharmacology 612
- Oncology 1.3k
- Molecular Biology 3.3k
- Animal Science and Zoology 483
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 385 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 244 | |
| 2 | 2011 | 215 | |
| 3 | 2013 | 189 | |
| 4 | 2019 | 163 | |
| 5 | 2004 | 135 | |
| 6 | 2017 | 120 | |
| 7 | 2014 | 114 | |
| 8 | 2017 | 112 | |
| 9 | 2012 | 99 | |
| 10 | 2015 | 96 | |
| 11 | 2021 | 89 | |
| 12 | 2008 | 88 | |
| 13 | 2020 | 80 | |
| 14 | 2021 | 80 | |
| 15 | 2008 | 80 | |
| 16 | 2020 | 78 | |
| 17 | 2020 | 77 | |
| 18 | 2020 | 76 | |
| 19 | 2010 | 75 | |
| 20 | 2021 | 74 |
About Yan Li
Yan Li is a scholar working on Molecular Biology, Oncology, Cancer Research, Hematology and Plant Science, having authored 385 papers that have together received 8.2k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (31 papers), Multiple Myeloma Research and Treatments (23 papers), Cancer-related molecular mechanisms research (19 papers), Meat and Animal Product Quality (18 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 (1.1k citations), Pharmacology (612 citations), Oncology (1.3k citations), Molecular Biology (3.3k citations) and Animal Science and Zoology (483 citations). Yan Li has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include James W. Paxton, Jun Lu, Ling Yang, Hui Hong, Jing Liu, Longteng Zhang, Wei‐Xin Hu, Shuai Zhuang, Riya Biswas and Fabrice Mérien. Their work appears in journals such as Blood, PLoS ONE, Frontiers in Oncology, Frontiers in Pharmacology and Pharmaceutical Research.
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.