Weili Chen
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Cancer-related gene regulation 4
- Pluripotent Stem Cells Research 3
- Circular RNAs in diseases 3
- CRISPR and Genetic Engineering 3
-
- Skin and Cellular Biology Research 4
- Co-authors
- John H. Kersey (6 shared papers)Wendy A. Hudson (6 shared papers)Tian Xu (2 shared papers)Ashish Kumar (5 shared papers)Quanzhi Li (3 shared papers)Maie A.R. St. John (1 shared paper)Wufan Tao (1 shared paper)Gregory S. Turenchalk (1 shared paper)
- Journals
- Blood (5 papers)Experimental Dermatology (2 papers)Journal of Investigative Dermatology (2 papers)Immunology and Cell Biology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Weili Chen
34 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 94
- Hematology 313
- Cell Biology 358
- Molecular Biology 904
- Aging 15
- Oncology 191
Countries citing papers authored by Weili Chen
This map shows the geographic impact of Weili Chen'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 Weili Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weili Chen more than expected).
Fields of papers citing papers by Weili Chen
This network shows the impact of papers produced by Weili Chen. 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 Weili Chen. The network helps show where Weili Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Weili Chen, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 221 | |
| 2 | 2008 | 157 | |
| 3 | 2016 | 115 | |
| 4 | 2001 | 110 | |
| 5 | 2003 | 102 | |
| 6 | 2016 | 99 | |
| 7 | 2006 | 92 | |
| 8 | 2019 | 77 | |
| 9 | 2008 | 68 | |
| 10 | 2017 | 64 | |
| 11 | 2003 | 40 | |
| 12 | 2008 | 35 | |
| 13 | 2022 | 28 | |
| 14 | 2016 | 21 | |
| 15 | 2023 | 20 | |
| 16 | 2014 | 15 | |
| 17 | 2021 | 15 | |
| 18 | 2019 | 12 | |
| 19 | 2006 | 11 | |
| 20 | 2017 | 10 |
About Weili Chen
Weili Chen is a scholar working on Molecular Biology, Cell Biology, Hematology, Cancer Research and Oncology, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Cancer-related gene regulation (4 papers), Skin and Cellular Biology Research (4 papers), Pluripotent Stem Cells Research (3 papers), Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (3 papers), CRISPR and Genetic Engineering (3 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Hematology (313 citations), Cell Biology (358 citations), Molecular Biology (904 citations), Aging (15 citations) and Oncology (191 citations). Weili Chen has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include John H. Kersey, Wendy A. Hudson, Tian Xu, Ashish Kumar, Quanzhi Li, Maie A.R. St. John, Wufan Tao, Gregory S. Turenchalk, Sheng Zhang and Rodney A. Stewart. Their work appears in journals such as Blood, Experimental Dermatology, Journal of Investigative Dermatology, Immunology and Cell Biology and PLoS ONE.
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.