Wai Shing Tang

983 total citations
15 papers, 556 citations indexed

About

Wai Shing Tang is a scholar working on Applied Mathematics, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Wai Shing Tang has authored 15 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Applied Mathematics, 5 papers in Molecular Biology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Wai Shing Tang's work include Mathematical Analysis and Transform Methods (6 papers), RNA Research and Splicing (4 papers) and RNA modifications and cancer (3 papers). Wai Shing Tang is often cited by papers focused on Mathematical Analysis and Transform Methods (6 papers), RNA Research and Splicing (4 papers) and RNA modifications and cancer (3 papers). Wai Shing Tang collaborates with scholars based in United States, Singapore and United Kingdom. Wai Shing Tang's co-authors include Jeetain Mittal, T. N. T. Goodman, Nicolas L. Fawzi, Gregory L. Dignon, Alison G. Simpkins, Daniel A. Hammer, Benjamin S. Schuster, Matthew C. Good, Roshan Mammen Regy and Fleurie M. Kelley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Physical Chemistry B and Nature Structural & Molecular Biology.

In The Last Decade

Wai Shing Tang

15 papers receiving 537 citations

Peers

Countries citing papers authored by Wai Shing Tang

Since Specialization

Citations

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

Fields of papers citing papers by Wai Shing Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wai Shing Tang. 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 Shing Tang. The network helps show where Wai Shing Tang may publish in the future.

Co-authorship network of co-authors of Wai Shing Tang

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

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Conformational heterogeneity and probability distributions from single-particle cryo-electron microscopy 2023 ·Current Opinion in Structural Biology ·Wai Shing Tang, Ellen D. Zhong, Sonya M. Hanson, Erik H. Thiede, Pilar Cossio	27
2	Ensemble Reweighting Using Cryo-EM Particle Images 2023 ·The Journal of Physical Chemistry B ·Wai Shing Tang, (unknown), (unknown), Bob Carpenter, Sonya M. Hanson, Alex H. Barnett, Erik H. Thiede, Pilar Cossio	23
3	A topological data analytic approach for discovering biophysical signatures in protein dynamics 2022 ·PLoS Computational Biology ·Wai Shing Tang, Gabriel Monteiro da Silva, (unknown), Erin Skeens, (unknown), (unknown), Kevin Yang, Sayan Mukherjee, Brenda M. Rubenstein, Lorin Crawford	14
4	Molecular interactions contributing to FUS SYGQ LC-RGG phase separation and co-partitioning with RNA polymerase II heptads 2021 ·Nature Structural & Molecular Biology ·Anastasia C. Murthy, Wai Shing Tang, Nina Jovic, (unknown), (unknown), Theodora Myrto Perdikari, Jeetain Mittal, Nicolas L. Fawzi	78
5	N‐terminal acetylation modestly enhances phase separation and reduces aggregation of the low‐complexity domain of RNA‐binding protein fused in sarcoma 2021 ·Protein Science ·(unknown), Anastasia C. Murthy, Wai Shing Tang, Nina Jovic, Frank Shewmaker, Jeetain Mittal, Nicolas L. Fawzi	35
6	Identifying sequence perturbations to an intrinsically disordered protein that determine its phase-separation behavior 2020 ·Proceedings of the National Academy of Sciences ·Benjamin S. Schuster, Gregory L. Dignon, Wai Shing Tang, Fleurie M. Kelley, (unknown), (unknown), Alison G. Simpkins, Roshan Mammen Regy, Daniel A. Hammer, Matthew C. Good, Jeetain Mittal	212
7	Refining All-Atom Protein Force Fields for Polar-Rich, Prion-like, Low-Complexity Intrinsically Disordered Proteins 2020 ·The Journal of Physical Chemistry B ·Wai Shing Tang, Nicolas L. Fawzi, Jeetain Mittal	33
8	Derivations on the algebra of operators in hilbert C-modules 2012 ·Acta Mathematica Sinica English Series* ·(unknown), Deguang Han, Wai Shing Tang	5
9	Frame vectors for representations of Abelian groups 2005 ·Applied and Computational Harmonic Analysis ·Wai Shing Tang, Eric Weber	2
10	Construction of Schauder decomposition on banach spaces of periodic functions 1998 ·Proceedings of the Edinburgh Mathematical Society ·Say Song Goh, S. L. Lee, Zuowei Shen, Wai Shing Tang	5
11	Wavelet bases for a unitary operator 1995 ·Proceedings of the Edinburgh Mathematical Society ·S. L. Lee, Hwee Hoon Tan, Wai Shing Tang	7
12	Wavelet bases for a set of commuting unitary operators 1993 ·Advances in Computational Mathematics ·T. N. T. Goodman, S. L. Lee, Wai Shing Tang	9
13	Wavelets in wandering subspaces 1993 ·Transactions of the American Mathematical Society ·T. N. T. Goodman, (unknown), Wai Shing Tang	103
14	L 2-approximation by the translates of a function and related attenuation factors 1991 ·Numerische Mathematik ·S. L. Lee, Roger C. E. Tan, Wai Shing Tang	1
15	Approximation and spectral properties of periodic spline operators 1991 ·Proceedings of the Edinburgh Mathematical Society ·S. L. Lee, Wai Shing Tang	2

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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