Liying Li

6.8k total citations
132 papers, 4.7k citations indexed

About

Liying Li is a scholar working on Molecular Biology, Immunology and Hepatology. According to data from OpenAlex, Liying Li has authored 132 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 25 papers in Immunology and 25 papers in Hepatology. Recurrent topics in Liying Li's work include Liver physiology and pathology (24 papers), Sphingolipid Metabolism and Signaling (21 papers) and Liver Disease Diagnosis and Treatment (14 papers). Liying Li is often cited by papers focused on Liver physiology and pathology (24 papers), Sphingolipid Metabolism and Signaling (21 papers) and Liver Disease Diagnosis and Treatment (14 papers). Liying Li collaborates with scholars based in China, United States and France. Liying Li's 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 and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Liying Li

126 papers receiving 4.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Liying Li China 39 2.2k 942 791 747 630 132 4.7k
Ramesh K. Ganju United States 50 2.7k 1.2× 509 0.5× 251 0.3× 1.0k 1.4× 1.9k 3.0× 127 6.6k
Christophe Bonny Switzerland 40 3.1k 1.4× 578 0.6× 270 0.3× 361 0.5× 604 1.0× 114 6.3k
Wei‐Chien Huang Taiwan 44 3.2k 1.5× 488 0.5× 194 0.2× 325 0.4× 644 1.0× 123 5.8k
Fiona Oakley United Kingdom 41 2.2k 1.0× 2.2k 2.3× 1.7k 2.1× 142 0.2× 846 1.3× 105 6.0k
Amelie Lupp Germany 38 1.4k 0.6× 1.1k 1.2× 317 0.4× 270 0.4× 405 0.6× 146 4.3k
Ann C. Williams United Kingdom 40 2.9k 1.4× 417 0.4× 169 0.2× 964 1.3× 532 0.8× 122 6.0k
Nobuhito Goda Japan 35 2.6k 1.2× 543 0.6× 241 0.3× 165 0.2× 622 1.0× 80 4.8k
Sebastiano Colombatto Italy 29 1.4k 0.7× 703 0.7× 582 0.7× 296 0.4× 163 0.3× 79 3.1k
Rohit A. Sinha India 37 1.6k 0.7× 1.8k 2.0× 208 0.3× 236 0.3× 207 0.3× 115 4.4k
Osamu Kozawa Japan 38 4.2k 1.9× 327 0.3× 149 0.2× 532 0.7× 564 0.9× 390 6.6k

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-authorship network of co-authors of Liying Li

This figure shows the co-authorship network connecting the top 25 collaborators of Liying Li. A scholar is included among the top collaborators of Liying Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liying Li. Liying Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Jing, Weiyang Li, Jing Zhao, et al.. (2025). IQGAP1 participates in bone marrow-derived macrophage recruitment and involves in liver inflammation/fibrosis. Journal of Molecular Medicine. 103(9). 1071–1086.
2.
Zhang, Hang, et al.. (2024). Procollagen-lysine 2-oxoglutarate 5-dioxygenase 2 promotes collagen cross-linking and ECM stiffening to induce liver fibrosis. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(5). 167205–167205. 4 indexed citations
3.
4.
Chang, Na, Yuran Liu, Weiyang Li, et al.. (2024). Neutrophil-secreted S100A8/A9 participates in fatty liver injury and fibrosis by promoting myofibroblast migration. Journal of Molecular Medicine. 102(9). 1117–1133. 2 indexed citations
5.
Li, Weiyang, Yuanru Yang, Lin Yang, Na Chang, & Liying Li. (2023). Monocyte-derived Kupffer cells dominate in the Kupffer cell pool during liver injury. Cell Reports. 42(10). 113164–113164. 38 indexed citations
6.
Yang, Le, et al.. (2023). 15-deoxy-Δ12,14-prostaglandin J2 relieved acute liver injury by inhibiting macrophage migration inhibitory factor expression via PPARγ in hepatocyte. International Immunopharmacology. 121. 110491–110491. 3 indexed citations
7.
Yang, Le, et al.. (2023). Neuron-Glial Antigen 2 Participates in Liver Fibrosis via Regulating the Differentiation of Bone Marrow Mesenchymal Stem Cell to Myofibroblast. International Journal of Molecular Sciences. 24(2). 1177–1177. 2 indexed citations
8.
9.
He, Yan, Liying Li, Ye Zhu, et al.. (2022). New metabolic health definition might not be a reliable predictor for mortality in the nonobese Chinese population. BMC Public Health. 22(1). 1629–1629. 1 indexed citations
10.
Li, Liying, Zitao Chen, Shuqi Diao, et al.. (2020). MIR143 Inhibits Steroidogenesis and Induces Apoptosis Repressed by H3K27me3 in Granulosa Cells. Frontiers in Cell and Developmental Biology. 8. 565261–565261. 10 indexed citations
11.
12.
Wang, Wei, Xianwen Shang, Lei Zhang, Liying Li, & Mingguang He. (2018). Risk factors for early-onset cataracts treated surgically in Australian adults. Investigative Ophthalmology & Visual Science. 59(9). 3795–3795. 1 indexed citations
13.
Li, Liying, Kewei Zhang, & Na Shi. (2017). Effects of the traditional Chinese auricular point therapy combined with relaxation training on patients with hypertension and anxiety. Biomedical Research-tokyo. 28(12). 5224–5228. 6 indexed citations
14.
Klemm, Robin W., Chen Li, Seong Hee Park, et al.. (2013). A Conserved Role for Atlastin GTPases in Regulating Lipid Droplet Size. Cell Reports. 3(5). 1465–1475. 123 indexed citations
15.
Majumdar, Amitabha, Huoqing Jiang, Mohammed Repon Khan, et al.. (2012). Critical Role of Amyloid-like Oligomers of Drosophila Orb2 in the Persistence of Memory. Cell. 148(3). 515–529. 214 indexed citations
16.
Li, Changyong, Sujun Zheng, Hong You, et al.. (2010). Sphingosine 1-phosphate (S1P)/S1P receptors are involved in human liver fibrosis by action on hepatic myofibroblasts motility. Journal of Hepatology. 54(6). 1205–1213. 111 indexed citations
17.
Teixeira-Clerc, Fatima, Boris Julien, Pascale Grenard, et al.. (2006). Les antagonistes du récepteur CB1 des cannabinoïdes : une nouvelle approche pour le traitement de la fibrose hépatique. médecine/sciences. 22. 683–685. 3 indexed citations
18.
Julien, Boris, Pascale Grenard, Fatima Teixeira-Clerc, et al.. (2005). Antifibrogenic role of the cannabinoid receptor CB2 in the liver. Gastroenterology. 128(3). 742–755. 382 indexed citations
19.
Li, Liying, Pascale Grenard, Jeanne Tran Van Nhieu, et al.. (2003). Heme oxygenase-1 is an antifibrogenic protein in human hepatic myofibroblasts. Gastroenterology. 125(2). 460–469. 69 indexed citations
20.
Li, Xiaomei, et al.. (1996). Variation of Intrarenal Angiotensin II and Angiotensin II Receptors by Acute Renal Ischemia in the Aged Rat. Renal Failure. 18(1). 19–29. 10 indexed citations

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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