Le Li
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Oncology 24
- Pancreatic and Hepatic Oncology Research 8
- Cancer-related Molecular Pathways 5
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- Epigenetics and DNA Methylation 6
- Co-authors
- Peng Jiang (8 shared papers)Jun Wu (2 shared papers)Zhongjun Dong (1 shared paper)Gen Li (1 shared paper)Dan Li (1 shared paper)Lijia Li (2 shared papers)Lina Zhao (2 shared papers)Wenjing Du (2 shared papers)
- Journals
- Physical Chemistry Chemical Physics (2 papers)Nature Communications (2 papers)Frontiers in Oncology (2 papers)Stem Cell Reports (1 paper)The FASEB Journal (1 paper)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Le Li
56 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 99
- Cancer Research 321
- Hepatology 85
- Oncology 285
- Immunology 170
- Molecular Biology 522
Countries citing papers authored by Le Li
This map shows the geographic impact of Le 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 Le Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Li more than expected).
Fields of papers citing papers by Le Li
This network shows the impact of papers produced by Le 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 Le Li. The network helps show where Le Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Le 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 152 | |
| 2 | 2021 | 149 | |
| 3 | 2021 | 139 | |
| 4 | 2020 | 89 | |
| 5 | 2018 | 75 | |
| 6 | 2021 | 60 | |
| 7 | 2019 | 49 | |
| 8 | 2020 | 46 | |
| 9 | 2019 | 36 | |
| 10 | 2021 | 32 | |
| 11 | 2021 | 29 | |
| 12 | 2020 | 29 | |
| 13 | 2022 | 27 | |
| 14 | 2021 | 25 | |
| 15 | 2018 | 23 | |
| 16 | 2008 | 20 | |
| 17 | 2023 | 19 | |
| 18 | 2017 | 19 | |
| 19 | 2020 | 17 | |
| 20 | 2023 | 15 |
About Le Li
Le Li is a scholar working on Oncology, Molecular Biology, Cancer Research, Surgery and Hepatology, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (8 papers), Cancer, Hypoxia, and Metabolism (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Epigenetics and DNA Methylation (6 papers), Cancer-related Molecular Pathways (5 papers), Ferroptosis and cancer prognosis (4 papers), Hepatitis B Virus Studies (3 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Cancer Research (321 citations), Hepatology (85 citations), Oncology (285 citations), Immunology (170 citations) and Molecular Biology (522 citations). Le Li has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Peng Jiang, Jun Wu, Zhongjun Dong, Gen Li, Dan Li, Lijia Li, Lina Zhao, Wenjing Du, Jisheng Hu and Youxiang Mao. Their work appears in journals such as Physical Chemistry Chemical Physics, Nature Communications, Frontiers in Oncology, Stem Cell Reports and The FASEB Journal.
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.