Fengzhi Li
- Oncology top 0.5%
- Cancer-related Molecular Pathways 27
- Drug Transport and Resistance Mechanisms 7
- Molecular Biology top 0.5%
- Cell death mechanisms and regulation 42
- Cancer therapeutics and mechanisms 18
- RNA Interference and Gene Delivery 12
- Ubiquitin and proteasome pathways 9
- DNA Repair Mechanisms 7
- RNA modifications and cancer 6
- Cancer Research top 1%
- Immunology top 2%
- Cell Biology top 1%
- Co-authors
- Dario C. AltieriXiang LingJanet PlesciaSimona TogninPier Carlo MarchisioGrazia AmbrosiniEmily ChuDouglas Grossman
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Fengzhi Li
133 papers receiving 9.0k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Oncology 3.2k
- Molecular Biology 6.9k
- Cancer Research 1.1k
- Immunology 1.5k
- Cell Biology 967
Countries citing papers authored by Fengzhi Li
This map shows the geographic impact of Fengzhi 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 Fengzhi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengzhi Li more than expected).
Fields of papers citing papers by Fengzhi Li
This network shows the impact of papers produced by Fengzhi 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 Fengzhi Li. The network helps show where Fengzhi Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fengzhi 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 5 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 6 | |
| 11 | 2021 | 47 | |
| 12 | 2021 | 23 | |
| 13 | 2014 | 13 | |
| 14 | Frequency of the Modern Application of Traditional Chinese Medicine in Alzheimer's Disease | 2013 | 3 |
| 15 | 2009 | 3 | |
| 16 | 2007 | 116 | |
| 17 | Smad3 mediates TGF-beta induced apoptosis through the control of survivin expression | 2005 | 1 |
| 18 | Differential regulation of survivin gene expression and cell death by sequence dependent DNA-binding drugs | 2004 | 1 |
| 19 | 2004 | 156 | |
| 20 | INJURY OF HEAT-STRESS TO RAT CARDIOMYOCYTES | 2000 | 10 |
About Fengzhi Li
Fengzhi Li is a scholar working on Oncology, Molecular Biology and Cancer Research, having authored 139 papers that have together received 9.1k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (42 papers), Cancer-related Molecular Pathways (27 papers), Cancer therapeutics and mechanisms (18 papers), RNA Interference and Gene Delivery (12 papers), Ubiquitin and proteasome pathways (9 papers), DNA Repair Mechanisms (7 papers), Drug Transport and Resistance Mechanisms (7 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Oncology (3.2k citations), Molecular Biology (6.9k citations) and Cancer Research (1.1k citations). Fengzhi Li has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Dario C. Altieri, Xiang Ling, Janet Plescia, Simona Tognin, Pier Carlo Marchisio, Grazia Ambrosini, Emily Chu, Douglas Grossman, Daniel O’Connor and Antonello Villa. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.