Lishan Su

11.6k total citations · 4 hit papers
184 papers, 8.8k citations indexed

About

Lishan Su is a scholar working on Immunology, Virology and Epidemiology. According to data from OpenAlex, Lishan Su has authored 184 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Immunology, 59 papers in Virology and 42 papers in Epidemiology. Recurrent topics in Lishan Su's work include Immune Cell Function and Interaction (71 papers), HIV Research and Treatment (59 papers) and T-cell and B-cell Immunology (38 papers). Lishan Su is often cited by papers focused on Immune Cell Function and Interaction (71 papers), HIV Research and Treatment (59 papers) and T-cell and B-cell Immunology (38 papers). Lishan Su collaborates with scholars based in United States, China and France. Lishan Su's co-authors include Kovalev Gi, Liguo Zhang, Chad Torrice, Matthew R. Ramsey, Norman E. Sharpless, Janakiraman Krishnamurthy, Khalid Al-Regaiey, Qi Jiang, Vernon M. Coffield and Yi Zhang and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Lishan Su

167 papers receiving 8.7k citations

Hit Papers

Ink4a/Arf expression is a biomarker of aging 2004 2026 2011 2018 2004 2005 2012 2011 250 500 750 1000

Peers

Lishan Su
Comparison fields: 5 of 123
  • Immunology 3.5k
  • Molecular Biology 3.4k
  • Epidemiology 1.9k
  • Virology 1.5k
  • Oncology 1.3k
Replace Mamoru Ito with:
Mamoru Ito Japan
Susan R. Ross United States
Mehrdad Matloubian United States
Bruce E. Torbett United States
Vassili Soumelis France
Makoto Miyagishi Japan
W. Nicholas Haining United States
Sang‐Jun Ha South Korea
Gail A. Bishop United States
Barbara Fazekas de St Groth Australia
Mamoru Ito Japan View profile →
Citations per field, relative to Lishan Su
Lishan Su · 1×
Citations per year, relative to Lishan Su
Lishan Su · 1×

Countries citing papers authored by Lishan Su

Since Specialization
Citations

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

Fields of papers citing papers by Lishan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lishan Su

This figure shows the co-authorship network connecting the top 25 collaborators of Lishan Su. A scholar is included among the top collaborators of Lishan Su 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 Lishan Su. Lishan Su 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
# Work Indexed citations
1 0
2 5
3 0
4 1
5 10
6 12
7 1
8 3
9 9
10 11
11 57
12 10
13 27
14 18
15 116
16 38
17
A Humanized Mouse Model to Study Hepatitis C Virus Infection, Immune Response, and Liver Disease breakdown →
220
18 134
19 74
20 34

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026