Lexing Li
Impact in
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Cancer-related molecular mechanisms research 3
- MicroRNA in disease regulation 2
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- Immune cells in cancer 2
- Co-authors
- Hanchuan Dai (3 shared papers)Danyang Liang (3 shared papers)Yulong He (2 shared papers)Guoquan Liu (8 shared papers)Lihua He (1 shared paper)Wei Gu (7 shared papers)Lun Yao (3 shared papers)Aaron T. Place (1 shared paper)
- Journals
- Frontiers in Immunology (2 papers)Antiviral Research (1 paper)Bioscience Reports (1 paper)Journal of Cellular Physiology (1 paper)Cellular Physiology and Biochemistry (1 paper)
- Partner nations
- ChinaBangladeshUnited States
In The Last Decade
Lexing Li
13 papers receiving 380 citations
Peers
Comparison fields: 5 of 76
- Geriatrics and Gerontology 42
- Cancer Research 78
- Molecular Biology 158
- Immunology 47
- Epidemiology 71
Countries citing papers authored by Lexing Li
This map shows the geographic impact of Lexing 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 Lexing Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lexing Li more than expected).
Fields of papers citing papers by Lexing Li
This network shows the impact of papers produced by Lexing 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 Lexing Li. The network helps show where Lexing Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Lexing 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 | 2019 | 142 | |
| 2 | 2017 | 58 | |
| 3 | 2021 | 36 | |
| 4 | 2018 | 31 | |
| 5 | 2018 | 31 | |
| 6 | 2016 | 29 | |
| 7 | 2018 | 18 | |
| 8 | 2017 | 10 | |
| 9 | 2024 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2019 | 6 | |
| 12 | 2025 | 4 | |
| 13 | 2020 | 2 | |
| 14 | 2025 | 0 | |
| 15 | 2026 | 0 | |
| 16 | 2025 | 0 |
About Lexing Li
Lexing Li is a scholar working on Cancer Research, Immunology, Animal Science and Zoology, Molecular Biology and Epidemiology, having authored 16 papers that have together received 386 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Neonatal Respiratory Health Research (2 papers), Immune cells in cancer (2 papers), Autophagy in Disease and Therapy (2 papers), Animal Virus Infections Studies (2 papers), RNA modifications and cancer (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Geriatrics and Gerontology (42 citations), Cancer Research (78 citations), Molecular Biology (158 citations), Immunology (47 citations) and Epidemiology (71 citations). Lexing Li has collaborated with scholars based in China, Bangladesh and United States. Frequent co-authors include Hanchuan Dai, Danyang Liang, Yulong He, Guoquan Liu, Lihua He, Wei Gu, Lun Yao, Aaron T. Place, Chunxiao Huang and Richard D. Minshall. Their work appears in journals such as Frontiers in Immunology, Antiviral Research, Bioscience Reports, Journal of Cellular Physiology and Cellular Physiology and Biochemistry.
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.