John S. Tsang

11.3k citations
59 papers · 3.3k indexed · 1 hit paper · h-index 25

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Immune Cell Function and Interaction 13
    • T-cell and B-cell Immunology 13
    • Immunotherapy and Immune Responses 7
    • MicroRNA in disease regulation 4

John S. Tsang

55 papers receiving 3.3k citations

Hit Papers

MicroRNA-Mediated Feedback and Feedforward Loops Are Recurrent Network Motifs in Mammals 2007 · 568 citations
5682007202620132019100200300400500

Peers

John S. Tsang
Comparison fields: 5 of 143
  • Cancer Research 827
  • Immunology 1.1k
  • Molecular Biology 1.7k
  • Aging 34
  • Virology 75
Replace Sergei B. Koralov with:
Sergei B. Koralov United States
Xiuli An United States
Laura J. Simpson United States
Renaud Gaujoux Israel
Raghothama Chaerkady United States
Yumei Leng United States
Ruth C. Lovering United Kingdom
Christine A. Wells Australia
Abul Bashar Mir Md. Khademul Islam Bangladesh
Bernett Lee Singapore
John S. Tsang relative to Sergei B. Koralov United States Sergei B. Koralov's profile →
Citations per field
00.5×1.5×
Sergei B. Koralov · 1×
Citations per year

Countries citing papers authored by John S. Tsang

Since Specialization
Citations

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

Fields of papers citing papers by John S. Tsang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John S. Tsang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John S. Tsang Line = papers co-authored together John S. Tsang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 202417
3 20248
4 202423
5 20243
6 202029
7 202013
8 20206
9 20196
10 201846
11 2017236
12 201733
13 201633
14 201681
15 201613
16
MicroRNAs can generate thresholds in target gene expression
20110
17 20101
18
MicroRNA-Mediated Feedback and Feedforward Loops Are Recurrent Network Motifs in Mammals
Hit paper breakdown →
2007568
19 200030
20
Recovering branches on the tree of life: an approximation algorithm
19991

About John S. Tsang

John S. Tsang is a scholar working on Immunology, Cancer Research, Infectious Diseases, Molecular Biology and Computer Graphics and Computer-Aided Design, having authored 59 papers that have together received 3.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (13 papers), Single-cell and spatial transcriptomics (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Immunotherapy and Immune Responses (7 papers), Influenza Virus Research Studies (5 papers), vaccines and immunoinformatics approaches (5 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Cancer Research (827 citations), Immunology (1.1k citations), Molecular Biology (1.7k citations), Aging (34 citations) and Virology (75 citations). John S. Tsang has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Alexander van Oudenaarden, Jun Zhu, Andrew J. Martins, Ronald N. Germain, Grace X. Y. Zheng, Phillip A. Sharp, Margaret S. Ebert, Shankar Mukherji, Stefan Uderhardt and Tim Lämmermann. Their work appears in journals such as Immunity, Trends in Immunology, Nature Medicine, Journal of Clinical Investigation and The Journal of Immunology.

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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