Wai-Tsing Chan

2.2k total citations · 1 hit paper
8 papers, 1.7k citations indexed

About

Wai-Tsing Chan is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Wai-Tsing Chan has authored 8 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Epidemiology and 3 papers in Immunology. Recurrent topics in Wai-Tsing Chan's work include Tuberculosis Research and Epidemiology (3 papers), Infectious Diseases and Tuberculosis (2 papers) and Particle physics theoretical and experimental studies (2 papers). Wai-Tsing Chan is often cited by papers focused on Tuberculosis Research and Epidemiology (3 papers), Infectious Diseases and Tuberculosis (2 papers) and Particle physics theoretical and experimental studies (2 papers). Wai-Tsing Chan collaborates with scholars based in United States, Netherlands and South Africa. Wai-Tsing Chan's co-authors include John D. McKinney, Ernesto J. Muñoz‐Elías, Dana L. Swenson, Kerstin Höner zu Bentrup, William R. Jacobs, David G. Russell, András Miczák, James C. Sacchettini, Juliano Timm and Joseph M. Luna and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Immunology.

In The Last Decade

Wai-Tsing Chan

8 papers receiving 1.7k citations

Hit Papers

Persistence of Mycobacterium tuberculosis in macrophages ... 2000 2026 2008 2017 2000 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wai-Tsing Chan United States 6 1.1k 903 658 297 241 8 1.7k
Yann Bordat France 21 943 0.8× 864 1.0× 548 0.8× 474 1.6× 218 0.9× 34 1.8k
Vasan K. Sambandamurthy India 21 1.6k 1.4× 1.1k 1.2× 1.1k 1.6× 386 1.3× 208 0.9× 35 2.4k
Richard W. Stokes Canada 27 1.3k 1.1× 1.0k 1.2× 738 1.1× 580 2.0× 167 0.7× 43 2.2k
Georgiana E. Purdy United States 20 853 0.8× 809 0.9× 545 0.8× 212 0.7× 158 0.7× 40 1.6k
Anna Brzostek Poland 26 933 0.8× 903 1.0× 807 1.2× 115 0.4× 290 1.2× 73 1.8k
S W Hunter United States 29 1.8k 1.6× 2.0k 2.2× 965 1.5× 446 1.5× 417 1.7× 46 3.3k
Tsungda Hsu United States 23 1.7k 1.5× 1.4k 1.6× 725 1.1× 829 2.8× 289 1.2× 28 2.8k
Jelle Thole Netherlands 32 1.6k 1.4× 1.3k 1.4× 854 1.3× 838 2.8× 255 1.1× 53 2.6k
Mary K. Hondalus United States 25 1.7k 1.5× 484 0.5× 449 0.7× 235 0.8× 248 1.0× 40 2.2k
Prasanta Chakraborty United States 25 778 0.7× 1.0k 1.1× 825 1.3× 464 1.6× 144 0.6× 52 2.6k

Countries citing papers authored by Wai-Tsing Chan

Since Specialization
Citations

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

Fields of papers citing papers by Wai-Tsing Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wai-Tsing Chan. 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 Wai-Tsing Chan. The network helps show where Wai-Tsing Chan may publish in the future.

Co-authorship network of co-authors of Wai-Tsing Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Wai-Tsing Chan. A scholar is included among the top collaborators of Wai-Tsing Chan 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 Wai-Tsing Chan. Wai-Tsing Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Uchil, Pradeep D., Brian D. Quinlan, Wai-Tsing Chan, Joseph M. Luna, & Walther Mothes. (2008). TRIM E3 Ligases Interfere with Early and Late Stages of the Retroviral Life Cycle. PLoS Pathogens. 4(2). e16–e16. 198 indexed citations
2.
Chan, Wai-Tsing, Nathan M. Sherer, Pradeep D. Uchil, et al.. (2008). Murine Leukemia Virus Spreading in Mice Impaired in the Biogenesis of Secretory Lysosomes and Ca2+-Regulated Exocytosis. PLoS ONE. 3(7). e2713–e2713. 5 indexed citations
3.
Muñoz‐Elías, Ernesto J., Juliano Timm, Tania Botha, et al.. (2004). Replication Dynamics of Mycobacterium tuberculosis in Chronically Infected Mice. Infection and Immunity. 73(1). 546–551. 168 indexed citations
4.
Timm, Juliano, Frank A. Post, Linda‐Gail Bekker, et al.. (2003). Differential expression of iron-, carbon-, and oxygen-responsive mycobacterial genes in the lungs of chronically infected mice and tuberculosis patients. Proceedings of the National Academy of Sciences. 100(24). 14321–14326. 213 indexed citations
5.
Carlyon, Jason A., Wai-Tsing Chan, Jorge E. Galán, Dirk Roos, & Erol Fikrig. (2002). Repression of rac2 mRNA Expression by Anaplasma phagocytophila Is Essential to the Inhibition of Superoxide Production and Bacterial Proliferation. The Journal of Immunology. 169(12). 7009–7018. 81 indexed citations
6.
McKinney, John D., Kerstin Höner zu Bentrup, Ernesto J. Muñoz‐Elías, et al.. (2000). Persistence of Mycobacterium tuberculosis in macrophages and mice requires the glyoxylate shunt enzyme isocitrate lyase. Nature. 406(6797). 735–738. 1047 indexed citations breakdown →
7.
Chan, Wai-Tsing & C. C. Wu. (1972). Phenomenological use of the Callan-Symanzik equation. Physics Letters B. 40(6). 651–654. 1 indexed citations
8.
Chan, Wai-Tsing, et al.. (1972). Perturbation series for chiral Lagrangians. — I. Nuovo cimento della Società italiana di fisica. A, Nuclei, particles and fields. 8(1). 29–38. 1 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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