Shuo Li

2.3k citations
53 papers · 1.6k indexed · 1 hit paper · h-index 19
Topics
Immune Cell Function and Interaction (12 papers)T-cell and B-cell Immunology (11 papers)Immunotherapy and Immune Responses (8 papers)

In The Last Decade

Shuo Li

49 papers receiving 1.6k citations

Hit Papers

Distribution of ACE2, CD147, CD26, and other SARS‐CoV‐2 a...20202026202220242020100200300

Peers

Shuo Li
Comparison fields: 5 of 113
  • Immunology 669
  • Molecular Biology 436
  • Infectious Diseases 377
  • Epidemiology 194
  • Oncology 169
Replace James A. Harker with:
James A. Harker United Kingdom
Mikkel‐Ole Skjoedt Denmark
Mieke C. Brouwer Netherlands
Annaïck Pallier France
Akihiko Numata Japan
Diana Wouters Netherlands
Timur O. Yarovinsky United States
Yong‐Soo Bae South Korea
Chau‐Ching Liu United States
Kaori Konishi Japan
Shuo Li relative to James A. Harker United Kingdom James A. Harker's profile →
Citations per field
00.5×1.5×
James A. Harker · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 10
3 6
4 10
5 7
6 8
7 0
8 8
9
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 factorsbreakdown →
387
10 27
11 8
12 16
13 22
14 9
15 31
16
Ethidium Bromide Fluorescence Probe on the Interaction between Dinuclear Macrocyclic Polyamine Zn(II) Complex and DNA
3
17 33
18 15
19 89
20 151

About Shuo Li

Shuo Li is a scholar working on Immunology, Hepatology and Nephrology, having authored 53 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (11 papers) and Immunotherapy and Immune Responses (8 papers). The work is most often cited by research in Immunology (669 citations), Nephrology (153 citations) and Infectious Diseases (377 citations). Shuo Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Peter G. Tipping, Eric J. Gowans, Magdalena Plebanski, Stephen R. Holdsworth, Stephen R. Holdsworth, Claire Chougnet, Ulf Dittmer, Claudia Traidl‐Hoffmann, Hideaki Morita and Urszula Radzikowska. Their work appears in journals such as Nature, Journal of Biological Chemistry and Nature Communications.

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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