Simon K. Tsang

1.1k total citations
8 papers, 825 citations indexed

About

Simon K. Tsang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Infectious Diseases. According to data from OpenAlex, Simon K. Tsang has authored 8 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 2 papers in Infectious Diseases. Recurrent topics in Simon K. Tsang's work include Viral Infections and Immunology Research (5 papers), RNA and protein synthesis mechanisms (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). Simon K. Tsang is often cited by papers focused on Viral Infections and Immunology Research (5 papers), RNA and protein synthesis mechanisms (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). Simon K. Tsang collaborates with scholars based in United States and Poland. Simon K. Tsang's co-authors include Da-Fei Feng, Elizabeth Little, Russell F. Doolittle, James M. Hogle, David J. Filman, Stephen Curry, Naiqian Cheng, C.N. Hiremath, Alasdair C. Steven and James F. Conway and has published in prestigious journals such as Science, Journal of the American Chemical Society and Journal of Molecular Biology.

In The Last Decade

Simon K. Tsang

8 papers receiving 808 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Simon K. Tsang United States	7	433	204	178	171	158	8	825
Andréa C. Oliveira Brazil	18	430 1.0×	53 0.3×	54 0.3×	200 1.2×	234 1.5×	40	1.1k
François Bontems France	23	1.5k 3.4×	148 0.7×	610 3.4×	121 0.7×	176 1.1×	49	1.9k
Jacques Retief United States	18	906 2.1×	47 0.2×	398 2.2×	47 0.3×	107 0.7×	26	1.6k
Ricardo Ehrlich Uruguay	22	885 2.0×	37 0.2×	215 1.2×	71 0.4×	163 1.0×	64	1.3k
Brittany Rife Magalis United States	14	360 0.8×	31 0.2×	154 0.9×	308 1.8×	110 0.7×	34	912
Elias W. Alves Brazil	23	837 1.9×	66 0.3×	444 2.5×	66 0.4×	27 0.2×	32	1.5k
Yann Ponty France	15	1.4k 3.1×	89 0.4×	174 1.0×	84 0.5×	221 1.4×	54	1.6k
Han‐Qing Ye China	23	496 1.1×	190 0.9×	187 1.1×	592 3.5×	25 0.2×	62	1.4k
Gunilla Rönnholm Finland	13	335 0.8×	24 0.1×	241 1.4×	80 0.5×	145 0.9×	16	814
Susan J. Schroeder United States	18	2.7k 6.2×	210 1.0×	291 1.6×	74 0.4×	287 1.8×	40	2.9k

Countries citing papers authored by Simon K. Tsang

Since Specialization

Citations

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

Fields of papers citing papers by Simon K. Tsang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon K. Tsang

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

All Works

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8 of 8 papers shown

Tsang, Simon K., Lyle Isaacs, Diane Joseph‐McCarthy, et al.. (2001). A structurally biased combinatorial approach for discovering new anti-picornaviral compounds. Chemistry & Biology. 8(1). 33–45. 13 indexed citations

Tsang, Simon K., Brian M. McDermott, Vincent R. Racaniello, & James M. Hogle. (2001). Kinetic Analysis of the Effect of Poliovirus Receptor on Viral Uncoating: the Receptor as a Catalyst. Journal of Virology. 75(11). 4984–4989. 55 indexed citations

Joseph‐McCarthy, Diane, Simon K. Tsang, David J. Filman, James M. Hogle, & Martin Karplus. (2001). Use of MCSS to Design Small Targeted Libraries: Application to Picornavirus Ligands. Journal of the American Chemical Society. 123(51). 12758–12769. 28 indexed citations

Tsang, Simon K., Pranav Danthi, Marie Chow, & James M. Hogle. (2000). Stabilization of poliovirus by capsid-binding antiviral drugs is due to entropic effects 1 1Edited by I. A. Wilson. Journal of Molecular Biology. 296(2). 335–340. 68 indexed citations

Belnap, David M., David J. Filman, Benes L. Trus, et al.. (2000). Molecular Tectonic Model of Virus Structural Transitions: the Putative Cell Entry States of Poliovirus. Journal of Virology. 74(3). 1342–1354. 196 indexed citations

Tsang, Simon K. & Milton H. Saier. (1996). A Simple Flexible Program for the Computational Analysis of Amino Acyl Residue Distribution in Proteins: Application to the Distribution of Aromatic versus Aliphatic Hydrophobic Amino Acids in Transmembrane α-Helical Spanners of Integral Membrane Transport Proteins. Journal of Computational Biology. 3(1). 185–190. 15 indexed citations

Doolittle, Russell F., et al.. (1996). Response : Dating the Cenancester of Organisms. Science. 274(5293). 1751–1753. 3 indexed citations

Doolittle, Russell F., et al.. (1996). Determining Divergence Times of the Major Kingdoms of Living Organisms with a Protein Clock. Science. 271(5248). 470–477. 447 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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