Chang‐Yan Li

2.3k citations
81 papers · 1.5k indexed · h-index 21

Impact in

  • Hepatology top 10%
    • Liver physiology and pathology
    • Genomics, phytochemicals, and oxidative stress
    • Inflammasome and immune disorders
    • RNA modifications and cancer
    • RNA Research and Splicing

Papers in

Chang‐Yan Li

75 papers receiving 1.5k citations

Peers

Chang‐Yan Li
Comparison fields: 5 of 104
  • Hepatology 112
  • Molecular Biology 905
  • Cancer Research 186
  • Immunology 206
  • Pharmacology 66
Replace Chang‐Hui Ge with:
Chang‐Hui Ge China
Yi‐Qun Zhan China
Carlo Vascotto Italy
Chao‐Wen Cheng Taiwan
Lu Xu China
Jeong Han Kang South Korea
Liang Wen China
Sara Violante United States
Yurong Da China
Chang‐Yan Li relative to Chang‐Hui Ge China Chang‐Hui Ge's profile →
Citations per field
00.5×1.6×
Chang‐Hui Ge · 1×
Citations per year

Countries citing papers authored by Chang‐Yan Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Chang‐Yan Li Line = papers co-authored together Chang‐Yan Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20247
4 20242
5 20241
6 20233
7 20227
8 202231
9 202120
10 202013
11 202013
12 20205
13 2019126
14 201827
15 20146
16 201443
17 201229
18
Studies on the Cold Resistance of Four Magnoliaceae Species in Guizhou Province
20101
19
Strategies on hospital physical examination
20070
20 200327

About Chang‐Yan Li

Chang‐Yan Li is a scholar working on Hepatology, Nephrology, Molecular Biology, Immunology and Hematology, 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), Erythrocyte Function and Pathophysiology (6 papers), Ubiquitin and proteasome pathways (6 papers), RNA modifications and cancer (6 papers), Inflammasome and immune disorders (6 papers), Epigenetics and DNA Methylation (5 papers) and Genomics, phytochemicals, and oxidative stress (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.

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