Yi Li
Impact in
- Cancer Research top 0.2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 0.2%
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
Papers in
-
- Epigenetics and DNA Methylation 34
- Wnt/β-catenin signaling in development and cancer 24
- Oncology 159
- Cancer Cells and Metastasis 34
- Cancer-related Molecular Pathways 29
- Co-authors
- Harold Varmus (7 shared papers)Wen Bu (26 shared papers)Stephen W. Ragsdale (6 shared papers)Bart O. Williams (6 shared papers)Michael Chopp (8 shared papers)David W. Russell (4 shared papers)Katrina Podsypanina (10 shared papers)Jeffrey M. Rosen (8 shared papers)
- Journals
- Oncotarget (14 papers)Frontiers in Oncology (13 papers)Oncogene (12 papers)Journal of Biological Chemistry (12 papers)Scientific Reports (11 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yi Li
671 papers receiving 19.7k citations
Yi Li's Hit Papers
Peers
Comparison fields: 5 of 177
- Cancer Research 2.8k
- Oncology 5.0k
- Immunology 3.2k
- Molecular Biology 9.2k
- Genetics 883
Countries citing papers authored by Yi Li
This map shows the geographic impact of Yi 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 Yi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Li more than expected).
Fields of papers citing papers by Yi Li
This network shows the impact of papers produced by Yi 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 Yi Li. The network helps show where Yi Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi 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 707 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | AAV Vector Integration Sites in Mouse Hepatocellular Carcinoma Hit paper breakdown → | 2007 | 519 |
| 2 | 2003 | 444 | |
| 3 | 2003 | 322 | |
| 4 | 2010 | 300 | |
| 5 | 2009 | 288 | |
| 6 | 2002 | 287 | |
| 7 | 2012 | 270 | |
| 8 | 2008 | 244 | |
| 9 | 1998 | 242 | |
| 10 | 2001 | 228 | |
| 11 | 2009 | 222 | |
| 12 | 2012 | 220 | |
| 13 | 2000 | 205 | |
| 14 | 2008 | 201 | |
| 15 | 2015 | 193 | |
| 16 | 2016 | 184 | |
| 17 | 2012 | 177 | |
| 18 | 2000 | 166 | |
| 19 | 2005 | 166 | |
| 20 | 2012 | 165 |
About Yi Li
Yi Li is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Genetics, having authored 707 papers that have together received 20.0k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (34 papers), Epigenetics and DNA Methylation (34 papers), Immune Cell Function and Interaction (32 papers), Virus-based gene therapy research (31 papers), Cancer-related Molecular Pathways (29 papers), MicroRNA in disease regulation (28 papers), Cancer, Hypoxia, and Metabolism (26 papers) and Wnt/β-catenin signaling in development and cancer (24 papers). The work is most often cited by research in Cancer Research (2.8k citations), Oncology (5.0k citations), Immunology (3.2k citations), Molecular Biology (9.2k citations) and Genetics (883 citations). Yi Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Harold Varmus, Wen Bu, Stephen W. Ragsdale, Bart O. Williams, Michael Chopp, David W. Russell, Katrina Podsypanina, Jeffrey M. Rosen, J. Silvio Gutkind and Colin de Haar. Their work appears in journals such as Oncotarget, Frontiers in Oncology, Oncogene, Journal of Biological Chemistry and Scientific Reports.
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.