Chan Li
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Immunology top 10%
- Immunotherapy and Immune Responses
Papers in
-
- DNA and Nucleic Acid Chemistry 4
- Oncology 17
- Metal complexes synthesis and properties 8
- Co-authors
- Zhaoya Liu (9 shared papers)Qian Xu (2 shared papers)Yong Rao (4 shared papers)Ji‐Ming Ye (3 shared papers)Zhi‐Shu Huang (4 shared papers)Yao‐Hao Xu (3 shared papers)Yu‐Tao Hu (4 shared papers)Shuang Liu (1 shared paper)
- Journals
- Chemosphere (3 papers)Medicine (3 papers)Frontiers in Cell and Developmental Biology (2 papers)Cancer Medicine (2 papers)Redox Biology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chan Li
87 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Cancer Research 251
- Immunology 322
- Oncology 380
- Health, Toxicology and Mutagenesis 163
- Molecular Biology 737
Countries citing papers authored by Chan Li
This map shows the geographic impact of Chan 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 Chan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chan Li more than expected).
Fields of papers citing papers by Chan Li
This network shows the impact of papers produced by Chan 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 Chan Li. The network helps show where Chan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Chan 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Gut Akkermansia muciniphila ameliorates metabolic dysfunction-associated fatty liver disease by regulating the metabolism of L-aspartate via gut-liver axis Hit paper breakdown → | 2021 | 242 |
| 2 | 2014 | 216 | |
| 3 | 2020 | 194 | |
| 4 | 2021 | 88 | |
| 5 | 2018 | 67 | |
| 6 | 2019 | 62 | |
| 7 | 2018 | 60 | |
| 8 | 2018 | 56 | |
| 9 | 2020 | 53 | |
| 10 | 2009 | 48 | |
| 11 | 2018 | 39 | |
| 12 | 1985 | 38 | |
| 13 | 2018 | 36 | |
| 14 | 2008 | 36 | |
| 15 | 2021 | 34 | |
| 16 | 2016 | 32 | |
| 17 | 2021 | 31 | |
| 18 | 2019 | 31 | |
| 19 | 2023 | 29 | |
| 20 | 2007 | 29 |
About Chan Li
Chan Li is a scholar working on Molecular Biology, Oncology, Immunology, Epidemiology and Cancer Research, having authored 95 papers that have together received 2.0k indexed citations. Recurring topics across this work include Metal complexes synthesis and properties (8 papers), Reproductive Biology and Fertility (6 papers), Mercury impact and mitigation studies (6 papers), Heavy Metal Exposure and Toxicity (6 papers), Heavy metals in environment (4 papers), DNA and Nucleic Acid Chemistry (4 papers), MicroRNA in disease regulation (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Cancer Research (251 citations), Immunology (322 citations), Oncology (380 citations), Health, Toxicology and Mutagenesis (163 citations) and Molecular Biology (737 citations). Chan Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhaoya Liu, Qian Xu, Yong Rao, Ji‐Ming Ye, Zhi‐Shu Huang, Yao‐Hao Xu, Yu‐Tao Hu, Shuang Liu, Yating Liu and Ruizheng Shi. Their work appears in journals such as Chemosphere, Medicine, Frontiers in Cell and Developmental Biology, Cancer Medicine and Redox Biology.
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.