Chang‐Yan Li
Impact in
- Hepatology top 10%
- Liver physiology and pathology
- Molecular Biology top 10%
- Genomics, phytochemicals, and oxidative stress
- Inflammasome and immune disorders
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
-
- RNA modifications and cancer 6
- Inflammasome and immune disorders 6
- Ubiquitin and proteasome pathways 6
- Epigenetics and DNA Methylation 5
- Immunology 12
- Co-authors
- Yi‐Qun Zhan (49 shared papers)Chang‐Hui Ge (41 shared papers)Miao Yu (45 shared papers)Xiaoming Yang (46 shared papers)Wang‐Xiang Xu (18 shared papers)Rong‐Hua Yin (28 shared papers)Liujun Tang (9 shared papers)Fang Liu (2 shared papers)
- Journals
- FEBS Journal (3 papers)Cellular Signalling (3 papers)PLoS ONE (3 papers)Journal of Cellular Biochemistry (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Chang‐Yan Li
75 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 104
- Hepatology 112
- Molecular Biology 905
- Cancer Research 186
- Immunology 206
- Pharmacology 66
Countries citing papers authored by Chang‐Yan Li
This map shows the geographic impact of Chang‐Yan 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 Chang‐Yan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang‐Yan Li more than expected).
Fields of papers citing papers by Chang‐Yan Li
This network shows the impact of papers produced by Chang‐Yan 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 Chang‐Yan Li. The network helps show where Chang‐Yan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Chang‐Yan 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 275 | |
| 2 | 2019 | 126 | |
| 3 | 2010 | 72 | |
| 4 | 2009 | 53 | |
| 5 | 2014 | 49 | |
| 6 | 2020 | 45 | |
| 7 | 2012 | 45 | |
| 8 | 2009 | 44 | |
| 9 | 2014 | 43 | |
| 10 | 2014 | 39 | |
| 11 | 2018 | 38 | |
| 12 | 2022 | 31 | |
| 13 | 2012 | 29 | |
| 14 | 2011 | 28 | |
| 15 | 2018 | 27 | |
| 16 | 2003 | 27 | |
| 17 | 2017 | 27 | |
| 18 | 2014 | 27 | |
| 19 | 2021 | 20 | |
| 20 | 2017 | 20 |
About Chang‐Yan Li
Chang‐Yan Li is a scholar working on Molecular Biology, Immunology, Hepatology, Surgery and Physiology, having authored 81 papers that have together received 1.5k indexed citations. Recurring topics across this work include Liver physiology and pathology (10 papers), Pancreatic function and diabetes (7 papers), RNA modifications and cancer (6 papers), Inflammasome and immune disorders (6 papers), Erythrocyte Function and Pathophysiology (6 papers), Ubiquitin and proteasome pathways (6 papers), Epigenetics and DNA Methylation (5 papers) and Acute Myeloid Leukemia Research (4 papers). The work is most often cited by research in Hepatology (112 citations), Molecular Biology (905 citations), Cancer Research (186 citations), Immunology (206 citations) and Pharmacology (66 citations). Chang‐Yan Li has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yi‐Qun Zhan, Chang‐Hui Ge, Miao Yu, Xiaoming Yang, Wang‐Xiang Xu, Rong‐Hua Yin, Liujun Tang, Fang Liu, Jianhong Zhang and Wei Li. Their work appears in journals such as FEBS Journal, Cellular Signalling, PLoS ONE, Journal of Cellular Biochemistry and International Journal of Molecular Sciences.
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.