Wu Li
- Molecular Biology top 10%
- Oncology top 5%
- Cancer Research top 5%
- Immunology top 10%
- Epidemiology
- Co-authors
- David SidranskyJin JenSteven A. AhrendtYujiong WangScott L. WehageNaomi HalachmiJohn T. ChowStephen C. Yang
- Topics
- RNA modifications and cancer (12 papers)Cancer-related molecular mechanisms research (7 papers)Bone and Dental Protein Studies (6 papers)
- Cited by
- Cancer ResearchBiotechnologyOncology
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Wu Li
86 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 139
- Molecular Biology 966
- Oncology 469
- Cancer Research 423
- Immunology 253
- Epidemiology 167
Countries citing papers authored by Wu Li
This map shows the geographic impact of Wu 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 Wu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Li more than expected).
Fields of papers citing papers by Wu Li
This network shows the impact of papers produced by Wu 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 Wu Li. The network helps show where Wu Li may publish in the future.
Co-authorship network of co-authors of Wu Li
This figure shows the co-authorship network connecting the top 25 collaborators of Wu Li. A scholar is included among the top collaborators of Wu Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wu Li. Wu Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 21 | |
| 11 | 56 | |
| 12 | 5 | |
| 13 | 39 | |
| 14 | Construction of cDNA library of Camellia sinensis cv. Ziyang 1 and primary analysis of expressed sequence tags (ESTs). | 1 |
| 15 | 3 | |
| 16 | Species Diversity of Herbaceous Plants under Poplar Plantation for Snail Control and Schis-tosomiasis Prevention | 2 |
| 17 | Preliminary Mechanism of Artesunate Treating Hepatocarcinoma | 1 |
| 18 | Comparison of the effects of three fluoride-containing agents on the demineralization of deciduous teeth in vitro | 5 |
| 19 | Functional comparison of two full-length genomes of hepatitis B virus strains isolated from two chronic hepatitis B patients. | 3 |
| 20 | 111 |
About Wu Li
Wu Li is a scholar working on Cancer Research, Biotechnology and Toxicology, having authored 89 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA modifications and cancer (12 papers), Cancer-related molecular mechanisms research (7 papers) and Bone and Dental Protein Studies (6 papers). The work is most often cited by research in Cancer Research (423 citations), Biotechnology (156 citations) and Oncology (469 citations). Wu Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include David Sidransky, Jin Jen, Steven A. Ahrendt, Yujiong Wang, Scott L. Wehage, Naomi Halachmi, John T. Chow, Stephen C. Yang, Guangcun Deng and Xiaoming Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.