Wenhui Li
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Colorectal Cancer Treatments and Studies
Papers in
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- PI3K/AKT/mTOR signaling in cancer 3
- Melanoma and MAPK Pathways 2
- CRISPR and Genetic Engineering 2
- RNA modifications and cancer 2
- Oncology 11
- Cancer Cells and Metastasis 3
- Co-authors
- Zuozhang Yang (3 shared papers)Ting Chen (2 shared papers)Li Wang (1 shared paper)Long Chen (1 shared paper)Jun Yang (1 shared paper)Lisa E. Humphrey (3 shared papers)Xin Yan (3 shared papers)Michael G. Brattain (3 shared papers)
- Journals
- Technology in Cancer Research & Treatment (3 papers)Cancer Research (3 papers)Journal of Cancer (1 paper)Clinical Cancer Research (1 paper)Journal of Cellular Physiology (1 paper)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Wenhui Li
28 papers receiving 485 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 130
- Oncology 147
- Molecular Biology 354
- Pathology and Forensic Medicine 60
- Parasitology 12
Countries citing papers authored by Wenhui Li
This map shows the geographic impact of Wenhui 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 Wenhui Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenhui Li more than expected).
Fields of papers citing papers by Wenhui Li
This network shows the impact of papers produced by Wenhui 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 Wenhui Li. The network helps show where Wenhui Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenhui 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 89 | |
| 2 | 2011 | 62 | |
| 3 | 2008 | 58 | |
| 4 | 2004 | 42 | |
| 5 | 2017 | 33 | |
| 6 | 2009 | 25 | |
| 7 | 2017 | 24 | |
| 8 | 2011 | 24 | |
| 9 | 2015 | 23 | |
| 10 | 1998 | 17 | |
| 11 | 1998 | 15 | |
| 12 | 2007 | 15 | |
| 13 | 2024 | 14 | |
| 14 | 2022 | 13 | |
| 15 | 2023 | 9 | |
| 16 | 2021 | 7 | |
| 17 | 2023 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2025 | 2 |
About Wenhui Li
Wenhui Li is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 33 papers that have together received 496 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Genetic factors in colorectal cancer (2 papers), Melanoma and MAPK Pathways (2 papers), Effects of Radiation Exposure (2 papers), CRISPR and Genetic Engineering (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (130 citations), Oncology (147 citations), Molecular Biology (354 citations), Pathology and Forensic Medicine (60 citations) and Parasitology (12 citations). Wenhui Li has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Zuozhang Yang, Ting Chen, Li Wang, Long Chen, Jun Yang, Lisa E. Humphrey, Xin Yan, Michael G. Brattain, Joon Lee and William G. Dunphy. Their work appears in journals such as Technology in Cancer Research & Treatment, Cancer Research, Journal of Cancer, Clinical Cancer Research and Journal of Cellular Physiology.
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.