Liying Li

6.9k citations
132 papers · 4.8k · h-index 40

Impact in

Papers in

    • Sphingolipid Metabolism and Signaling 19
    • Fibroblast Growth Factor Research 6
    • Immune cells in cancer 12
    • Phagocytosis and Immune Regulation 6

Liying Li

126 papers receiving 4.8k citations

Peers

Liying Li
Comparison fields: 5 of 124
  • Hepatology 672
  • Pharmacology 712
  • Cell Biology 508
  • Molecular Biology 2.0k
  • Immunology 574
Replace Utpal B. Pajvani with:
Utpal B. Pajvani United States
Yuri Kotelevtsev United Kingdom
Anu Srinivasan United States
Ann C. Williams United Kingdom
Ramesh K. Ganju United States
Rohit A. Sinha India
Wei‐Chien Huang Taiwan
Phuong Le United States
Hideyuki Yamawaki Japan
Yanchun Li China
Liying Li relative to Utpal B. Pajvani United States Utpal B. Pajvani's profile →
Citations per field
00.5×2.6×
Utpal B. Pajvani · 1×
Citations per year

Countries citing papers authored by Liying Li

Since Specialization
Citations

This map shows the geographic impact of Liying 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 Liying Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liying Li more than expected).

Fields of papers citing papers by Liying Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liying 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 Liying Li. The network helps show where Liying Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Liying 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 Liying Li Line = papers co-authored together Liying Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006422
2 2005382
3 2012217
4 2009158
5 2001136
6 2013125
7 2007115
8 2010113
9 2000112
10 2013110
11 200291
12 201589
13 202089
14 202088
15 200986
16 201785
17 200884
18 201280
19 201574
20 202372

About Liying Li

Liying Li is a scholar working on Molecular Biology, Immunology, Hepatology, Epidemiology and Nutrition and Dietetics, having authored 132 papers that have together received 4.8k indexed citations. Recurring topics across this work include Liver physiology and pathology (19 papers), Sphingolipid Metabolism and Signaling (19 papers), Immune cells in cancer (12 papers), Vitamin C and Antioxidants Research (10 papers), Liver Disease Diagnosis and Treatment (9 papers), Cannabis and Cannabinoid Research (8 papers), Phagocytosis and Immune Regulation (6 papers) and Fibroblast Growth Factor Research (6 papers). The work is most often cited by research in Hepatology (672 citations), Pharmacology (712 citations), Cell Biology (508 citations), Molecular Biology (2.0k citations) and Immunology (574 citations). Liying Li has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Sophie Lotersztajn, Ariane Mallat, Le Yang, Na Chang, Lin Yang, Boris Julien, Pascale Grenard, Jeanne Tran Van Nhieu, James M. May and Fatima Teixeira-Clerc. Their work appears in journals such as Frontiers in Immunology, Journal of Molecular Medicine, Journal of Hepatology, Journal of Biological Chemistry and Journal of Cellular Physiology.

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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