S Li

2.2k total citations
15 papers, 1.8k citations indexed

About

S Li is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, S Li has authored 15 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Infectious Diseases. Recurrent topics in S Li's work include RNA Interference and Gene Delivery (7 papers), Virus-based gene therapy research (6 papers) and Viral gastroenteritis research and epidemiology (3 papers). S Li is often cited by papers focused on RNA Interference and Gene Delivery (7 papers), Virus-based gene therapy research (6 papers) and Viral gastroenteritis research and epidemiology (3 papers). S Li collaborates with scholars based in United States, China and United Kingdom. S Li's co-authors include Leaf Huang, Sukanta S. Bhattacharya, Mark Whitmore, Jie Fan, Melanie J. Scott, Y Li, Timothy R. Billiar, Guozhi Xiao, Zhong Li and Jia Xu and has published in prestigious journals such as Journal of Cell Science, Cell Death and Differentiation and Cell Death and Disease.

In The Last Decade

S Li

15 papers receiving 1.8k citations

Peers

S Li
Prabhjit K. Grewal United Kingdom
Silke Glage Germany
Anning Li China
Aijie Liu China
Rebecca L. Ball United States
S Li
Citations per year, relative to S Li S Li (= 1×) peers Samantha L. Ginn

Countries citing papers authored by S Li

Since Specialization
Citations

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

Fields of papers citing papers by S Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Li

This figure shows the co-authorship network connecting the top 25 collaborators of S Li. A scholar is included among the top collaborators of S 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 S Li. S Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Chen, Si, Hong Xu, Dingjie Xu, et al.. (2020). Matrix stiffness regulates α-TAT1-mediated acetylation of α-tubulin and promotes silica-induced epithelial–mesenchymal transition via DNA damage. Journal of Cell Science. 134(2). 11 indexed citations
2.
Li, Nan, S Li, Jian Tan, et al.. (2016). De-ubiquitinating enzyme, USP11, promotes transforming growth factor β-1 signaling through stabilization of transforming growth factor β receptor II. Cell Death and Disease. 7(11). e2474–e2474. 50 indexed citations
3.
Li, Zhong, Melanie J. Scott, Erica Fan, et al.. (2016). Tissue damage negatively regulates LPS-induced macrophage necroptosis. Cell Death and Differentiation. 23(9). 1428–1447. 67 indexed citations
4.
Li, S, et al.. (2014). Inter-limb force coupling is resistant to distorted visual feedback in chronic hemiparetic stroke. Journal of Rehabilitation Medicine. 46(3). 206–211. 9 indexed citations
5.
Xu, Jia, Yaodong Jiang, Xiao‐Lian Shi, et al.. (2014). Macrophage endocytosis of high-mobility group box 1 triggers pyroptosis. Cell Death and Differentiation. 21(8). 1229–1239. 193 indexed citations
6.
Holder, Emma, Uta Griesenbach, S Li, et al.. (2006). Intravenously administered oligonucleotides can be delivered to conducting airway epithelium via the bronchial circulation. Gene Therapy. 13(23). 1628–1638. 6 indexed citations
7.
Li, Zhong, et al.. (2001). Efficient in vivo gene transfer by PCR amplified fragment with reduced inflammatory activity. Gene Therapy. 8(1). 71–74. 59 indexed citations
8.
Li, S & Leaf Huang. (2000). Nonviral gene therapy: promises and challenges. Gene Therapy. 7(1). 31–34. 483 indexed citations
9.
Li, S, et al.. (2000). Characteristics of finger force production during one- and two-hand tasks. Human Movement Science. 19(6). 897–923. 34 indexed citations
10.
Whitmore, Mark, S Li, & Leaf Huang. (1999). LPD lipopolyplex initiates a potent cytokine response and inhibits tumor growth. Gene Therapy. 6(11). 1867–1875. 169 indexed citations
11.
Pham, Si M., L.L Shears, Nobuyoshi Kawaharada, et al.. (1998). High Local Production of Nitric Oxide As a Possible Mechanism by Which Rapamycin Prevents Transplant Arteriosclerosis. Transplantation Proceedings. 30(4). 953–954. 27 indexed citations
13.
Li, S, et al.. (1998). Characterization of cationic lipid-protamine–DNA (LPD) complexes for intravenous gene delivery. Gene Therapy. 5(7). 930–937. 300 indexed citations
14.
Li, S, et al.. (1997). Selection and use of ligands for receptor-mediated gene delivery to myogenic cells. Gene Therapy. 4(7). 664–674. 28 indexed citations
15.
Li, S & Leaf Huang. (1997). In vivo gene transfer via intravenous administration of cationic lipid–protamine–DNA (LPD) complexes. Gene Therapy. 4(9). 891–900. 391 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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