Shuo Li

2.3k total citations · 1 hit paper
53 papers, 1.6k citations indexed

About

Shuo Li is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Shuo Li has authored 53 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Immunology, 21 papers in Molecular Biology and 9 papers in Infectious Diseases. Recurrent topics in Shuo Li's work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (11 papers) and Immunotherapy and Immune Responses (8 papers). Shuo Li is often cited by papers focused on Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (11 papers) and Immunotherapy and Immune Responses (8 papers). Shuo Li collaborates with scholars based in China, Australia and United States. Shuo Li's co-authors include Peter G. Tipping, Eric J. Gowans, Magdalena Plebanski, Stephen R. Holdsworth, Stephen R. Holdsworth, Claire Chougnet, Ulf Dittmer, Hideaki Morita, Avidan U. Neumann and Damir Zhakparov and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Shuo Li

49 papers receiving 1.6k citations

Hit Papers

Distribution of ACE2, CD1... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuo Li China 19 669 436 377 194 169 53 1.6k
Achille Broggi Italy 14 808 1.2× 571 1.3× 328 0.9× 236 1.2× 146 0.9× 17 1.4k
Mikkel‐Ole Skjoedt Denmark 26 1.6k 2.4× 337 0.8× 384 1.0× 265 1.4× 50 0.3× 64 2.2k
Alessandra Amendola Italy 24 394 0.6× 385 0.9× 534 1.4× 358 1.8× 117 0.7× 70 1.9k
Diana Wouters Netherlands 28 1.4k 2.1× 661 1.5× 195 0.5× 197 1.0× 158 0.9× 86 2.6k
Mieke C. Brouwer Netherlands 21 1.0k 1.5× 406 0.9× 155 0.4× 243 1.3× 129 0.8× 50 1.8k
Akihiko Numata Japan 23 607 0.9× 432 1.0× 89 0.2× 219 1.1× 476 2.8× 87 1.8k
Kazuko Yamazaki Japan 22 297 0.4× 610 1.4× 111 0.3× 130 0.7× 180 1.1× 66 1.5k
Patcharin Pramoonjago United States 23 492 0.7× 458 1.1× 264 0.7× 526 2.7× 66 0.4× 45 1.7k
Gabriela Fernández Argentina 26 745 1.1× 271 0.6× 282 0.7× 287 1.5× 137 0.8× 75 1.7k
Qigui Yu United States 26 588 0.9× 407 0.9× 269 0.7× 356 1.8× 151 0.9× 75 1.6k

Countries citing papers authored by Shuo Li

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuo Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shuo Li. A scholar is included among the top collaborators of Shuo 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 Shuo Li. Shuo 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.
He, Shan, Zhenhao Li, Weihua Huang, et al.. (2025). Functional phyto-nanozymes for dual regulation of microbial metabolism and overinflammation microenvironment in diabetic wound. Materials Today Bio. 35. 102293–102293.
2.
Huang, Yu, Jialin Yang, Jiahao Li, et al.. (2025). Perception of viral infections and initiation of antiviral defence in rice. Nature. 641(8061). 173–181. 10 indexed citations
3.
Li, Shuo, Xue Liu, Gang Liu, & Chao Liu. (2023). Biomimetic Nanotechnology for SARS-CoV-2 Treatment. Viruses. 15(3). 596–596. 6 indexed citations
4.
Zhang, Xin, Wenxiang Cheng, Jing Qu, et al.. (2023). Peptide-based inhibitors hold great promise as the broad-spectrum agents against coronavirus. Frontiers in Microbiology. 13. 1093646–1093646. 8 indexed citations
6.
Huang, Chun‐Kai, Mingyao Meng, Shuo Li, et al.. (2022). Umbilical Cord Mesenchymal Stem Cells Ameliorate Kidney Injury in MRL/Ipr Mice Through the TGF-β1 Pathway. Frontiers in Cell and Developmental Biology. 10. 876054–876054. 9 indexed citations
7.
Hu, Xiao, Yanli Zou, David A. Copland, et al.. (2022). Epigenetic drug screen identified IOX1 as an inhibitor of Th17-mediated inflammation through targeting TET2. EBioMedicine. 86. 104333–104333. 8 indexed citations
8.
Radzikowska, Urszula, Mei Ding, Ge Tan, et al.. (2020). Distribution of ACE2, CD147, CD26, and other SARS‐CoV‐2 associated molecules in tissues and immune cells in health and in asthma, COPD, obesity, hypertension, and COVID‐19 risk factors. Allergy. 75(11). 2829–2845. 387 indexed citations breakdown →
10.
Huang, Huan, Shuo Li, Lizhou Sun, & Guohua Zhou. (2015). Digital Detection of Multiple Minority Mutants and Expression Levels of Multiple Colorectal Cancer-Related Genes Using Digital-PCR Coupled with Bead-Array. PLoS ONE. 10(4). e0123420–e0123420. 2 indexed citations
11.
Qin, Sida, Chengcheng Yang, Xifang Wang, et al.. (2012). Overexpression of Smac Promotes Cisplatin-Induced Apoptosis by Activating Caspase-3 and Caspase-9 in Lung Cancer A549 Cells. Cancer Biotherapy and Radiopharmaceuticals. 28(2). 177–182. 22 indexed citations
12.
Qin, Sida, Chengcheng Yang, Shuo Li, et al.. (2012). Smac: Its role in apoptosis induction and use in lung cancer diagnosis and treatment. Cancer Letters. 318(1). 9–13. 31 indexed citations
13.
Li, Shuo, Stuart K. Roberts, Magdalena Plebanski, et al.. (2012). Induction of Multi-Functional T Cells in a Phase I Clinical Trial of Dendritic Cell Immunotherapy in Hepatitis C Virus Infected Individuals. PLoS ONE. 7(8). e39368–e39368. 9 indexed citations
14.
Woollard, David J., Catriona McLean, Scott Preiss, et al.. (2011). Down-regulation of intra-hepatic T-cell signaling associated with GB virus C in a HCV/HIV co-infected group with reduced liver disease. Journal of Hepatology. 55(3). 536–544. 15 indexed citations
15.
Li, Shuo. (2009). Ethidium Bromide Fluorescence Probe on the Interaction between Dinuclear Macrocyclic Polyamine Zn(II) Complex and DNA. Chinese Journal of Applied Chemistry. 3 indexed citations
16.
Martyn, John C., Bruce D. Wines, Shuo Li, et al.. (2009). Surface display of IgG Fc on baculovirus vectors enhances binding to antigen-presenting cells and cell lines expressing Fc receptors. Archives of Virology. 154(7). 1129–1138. 33 indexed citations
17.
Li, Shuo, Kathryn Jones, David J. Woollard, et al.. (2007). Defining target antigens for CD25+FOXP3+IFN‐γ regulatory T cells in chronic hepatitis C virus infection. Immunology and Cell Biology. 85(3). 197–204. 55 indexed citations
18.
Li, Shuo, Eric J. Gowans, Claire Chougnet, Magdalena Plebanski, & Ulf Dittmer. (2007). Natural Regulatory T Cells and Persistent Viral Infection. Journal of Virology. 82(1). 21–30. 125 indexed citations
19.
Martyn, John C., et al.. (2006). Transient and stable expression of the HCV envelope glycoproteins in cell lines and primary hepatocytes transduced with a recombinant baculovirus. Archives of Virology. 152(2). 329–343. 11 indexed citations
20.
Tipping, Peter G., et al.. (1997). Th1 responsiveness to nephritogenic antigens determines susceptibility to crescentic glomerulonephritis in mice. Kidney International. 51(1). 94–103. 151 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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