Yi Li

28.4k citations
705 papers · 19.5k · h-index 66

Impact in

    • 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
    • Cancer Cells and Metastasis 34
    • Cancer-related Molecular Pathways 29

Yi Li

670 papers receiving 19.2k citations

Peers

Yi Li
Comparison fields: 5 of 177
  • Cancer Research 2.7k
  • Oncology 4.8k
  • Immunology 3.2k
  • Molecular Biology 8.9k
  • Genetics 842
Replace Bruce J. Aronow with:
Bruce J. Aronow United States
Keiko Nakayama Japan
Masabumi Shibuya Japan
David M. Hockenbery United States
Lawrence Boise United States
Philip N. Tsichlis United States
Gennaro Ciliberto Italy
Hong‐Gang Wang United States
George Kollias Greece
Jian Wang China
Yi Li relative to Bruce J. Aronow United States Bruce J. Aronow's profile →
Citations per field
00.5×1.5×1.8×
Bruce J. Aronow · 1×
Citations per year

Countries citing papers authored by Yi Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Yi Li Line = papers co-authored together Yi Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 705 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007495
2 2003428
3 2003299
4 2009286
5 2010284
6 2002279
7 2012264
8 1998233
9 2008230
10 2012219
11 2001218
12 2009207
13 2008197
14 2000194
15 2015185
16 2012175
17 2016171
18 2012159
19 2002156
20 2000152

About Yi Li

Yi Li is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Genetics, having authored 705 papers that have together received 19.5k 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 (2.7k citations), Oncology (4.8k citations), Immunology (3.2k citations), Molecular Biology (8.9k citations) and Genetics (842 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, Katrina Podsypanina, Jeffrey M. Rosen, David W. Russell, 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.

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