Yanli Tan
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
-
- RNA modifications and cancer 7
- Extracellular vesicles in disease 6
- RNA Research and Splicing 5
-
- Cancer-related molecular mechanisms research 13
- MicroRNA in disease regulation 5
- Co-authors
- Chunsheng Kang (36 shared papers)Qixue Wang (24 shared papers)Chuan Fang (31 shared papers)Kaikai Yi (17 shared papers)Junhu Zhou (19 shared papers)Yunfei Wang (19 shared papers)Ali J. Marian (9 shared papers)James T. Willerson (6 shared papers)
- Journals
- Theranostics (8 papers)Neuro-Oncology (4 papers)Cancer Biology and Medicine (4 papers)Frontiers in Immunology (3 papers)Circulation Research (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yanli Tan
83 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 131
- Cancer Research 669
- Genetics 261
- Molecular Biology 1.3k
- Immunology 200
- Cardiology and Cardiovascular Medicine 198
Countries citing papers authored by Yanli Tan
This map shows the geographic impact of Yanli Tan'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 Yanli Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanli Tan more than expected).
Fields of papers citing papers by Yanli Tan
This network shows the impact of papers produced by Yanli Tan. 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 Yanli Tan. The network helps show where Yanli Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanli Tan, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 226 | |
| 2 | 2005 | 127 | |
| 3 | 2020 | 120 | |
| 4 | 2019 | 117 | |
| 5 | 2012 | 113 | |
| 6 | 2018 | 106 | |
| 7 | 2022 | 91 | |
| 8 | 2019 | 85 | |
| 9 | 2022 | 71 | |
| 10 | 2019 | 67 | |
| 11 | 2018 | 64 | |
| 12 | 2023 | 56 | |
| 13 | 2019 | 53 | |
| 14 | 2019 | 52 | |
| 15 | 2021 | 50 | |
| 16 | 2018 | 50 | |
| 17 | 2015 | 49 | |
| 18 | 2020 | 48 | |
| 19 | 2020 | 48 | |
| 20 | 2021 | 48 |
About Yanli Tan
Yanli Tan is a scholar working on Molecular Biology, Cancer Research, Genetics, Cardiology and Cardiovascular Medicine and Health, Toxicology and Mutagenesis, having authored 85 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (13 papers), Glioma Diagnosis and Treatment (12 papers), RNA modifications and cancer (7 papers), Heavy Metal Exposure and Toxicity (6 papers), Extracellular vesicles in disease (6 papers), RNA Research and Splicing (5 papers), Nanoparticle-Based Drug Delivery (5 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Cancer Research (669 citations), Genetics (261 citations), Molecular Biology (1.3k citations), Immunology (200 citations) and Cardiology and Cardiovascular Medicine (198 citations). Yanli Tan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chunsheng Kang, Qixue Wang, Chuan Fang, Kaikai Yi, Junhu Zhou, Yunfei Wang, Ali J. Marian, James T. Willerson, Can Xu and Chao Yang. Their work appears in journals such as Theranostics, Neuro-Oncology, Cancer Biology and Medicine, Frontiers in Immunology and Circulation 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.