Tony Yeung

4.7k total citations · 2 hit papers
21 papers, 3.7k citations indexed

About

Tony Yeung is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Tony Yeung has authored 21 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Cell Biology and 5 papers in Immunology. Recurrent topics in Tony Yeung's work include Lipid Membrane Structure and Behavior (8 papers), Acute Myeloid Leukemia Research (3 papers) and Vibrio bacteria research studies (3 papers). Tony Yeung is often cited by papers focused on Lipid Membrane Structure and Behavior (8 papers), Acute Myeloid Leukemia Research (3 papers) and Vibrio bacteria research studies (3 papers). Tony Yeung collaborates with scholars based in Canada, United States and Japan. Tony Yeung's co-authors include Sergio Grinstein, András Kapùs, Nastaran Zahir, Penelope C. Georges, Valerie M. Weaver, Paul A. Janmey, Makoto Funaki, Lisa A. Flanagan, Wenyu Ming and John R. Silvius and has published in prestigious journals such as Science, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Tony Yeung

20 papers receiving 3.7k citations

Hit Papers

Effects of substrate stiffness on cell morphology, cytosk... 2004 2026 2011 2018 2004 2008 500 1000 1.5k

Peers

Tony Yeung
Comparison fields: 5 of 121
  • Cell Biology 1.9k
  • Molecular Biology 1.5k
  • Biomedical Engineering 1.2k
  • Biomaterials 413
  • Immunology 389
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Citations per field, relative to Tony Yeung
Tony Yeung · 1×
Citations per year, relative to Tony Yeung
Tony Yeung · 1×

Countries citing papers authored by Tony Yeung

Since Specialization
Citations

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

Fields of papers citing papers by Tony Yeung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tony Yeung

This figure shows the co-authorship network connecting the top 25 collaborators of Tony Yeung. A scholar is included among the top collaborators of Tony Yeung 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 Tony Yeung. Tony Yeung 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 6
3 2
4 1
5 6
6 79
7 51
8 130
9 32
10 4
11 111
12
Membrane Phosphatidylserine Regulates Surface Charge and Protein Localization breakdown →
843
13 47
14 134
15 90
16 19
17
Biopolymer Networks and Cellular Mechanosensing
2
18
Effects of substrate stiffness on cell morphology, cytoskeletal structure, and adhesion breakdown →
1861
19 2
20 11

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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