Michael Hsing

2.6k citations

35 papers · 1.6k indexed · 2 hit papers · h-index 19

Impact in

Computational Theory and Mathematics top 1%
- Computational Drug Discovery Methods
Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research

Papers in ⓘ

Computational Theory and Mathematics 11
- Computational Drug Discovery Methods 11
Molecular Biology 24
- Bioinformatics and Genomic Networks 9
- Protein Structure and Dynamics 6
- Microbial Metabolic Engineering and Bioproduction 4
- Genomics and Phylogenetic Studies 3

Co-authors: Artem Cherkasov (28 shared papers)Fuqiang Ban (9 shared papers)Anh‐Tien Ton (3 shared papers)Francesco Gentile (2 shared papers)Sek Won Kong (5 shared papers)Paul S. Rennie (13 shared papers)Martin Gleave (3 shared papers)Ulf Norinder (1 shared paper)
Journals: BMC Bioinformatics (4 papers)Bioinformatics (3 papers)Journal of Biological Chemistry (3 papers)Cancer Research (2 papers)Nano Letters (1 paper)
Partner nations: Canada United States South Korea

In The Last Decade

Michael Hsing

35 papers receiving 1.6k citations

Hit Papers

align trajectories log scale

Rapid Identification of Potential Inhibitors of SARS‐CoV‐2 Main Protease by Deep Docking of 1.3 Billion Compounds 2020 · 382 citations

Peers

Countries citing papers authored by Michael Hsing

Since Specialization

Citations

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

Fields of papers citing papers by Michael Hsing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Hsing, 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 Michael Hsing Line = papers co-authored together Michael Hsing links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Rapid Identification of Potential Inhibitors of SARS‐CoV‐2 Main Protease by Deep Docking of 1.3 Billion Compounds Molecular Informatics ·Anh‐Tien Ton, Francesco Gentile, Michael Hsing, Fuqiang Ban, Artem Cherkasov Hit paper breakdown →	2020	382
2	Deep Docking: A Deep Learning Platform for Augmentation of Structure Based Drug Discovery ACS Central Science ·Francesco Gentile, Vibudh Agrawal, Michael Hsing, Anh‐Tien Ton, Fuqiang Ban, Ulf Norinder, Martin Gleave, Artem Cherkasov Hit paper breakdown →	2020	259
3	Polycomb Repressive Complex 2 Regulates Normal Development of the Mouse Heart Circulation Research ·Aibin He, Qing Ma, Jingjing Cao, Alexander von Gise, Pingzhu Zhou, Huafeng Xie, Bing Zhang, Michael Hsing, Danos C. Christodoulou, Patrick Cahan, George Q. Daley, Sek Won Kong, Stuart H. Orkin, Christine E. Seidman, Jonathan G. Seidman, William T. Pu	2011	165
4	Selectively Targeting the DNA-binding Domain of the Androgen Receptor as a Prospective Therapy for Prostate Cancer Journal of Biological Chemistry ·Kush Dalal, Mani Roshan‐Moniri, Aishwariya Sharma, Huifang Li, Fuqiang Ban, Mohamed Hessein, Michael Hsing, Kriti Singh, Eric Leblanc, Scott M. Dehm, Emma S. Tomlinson Guns, Artem Cherkasov, Paul S. Rennie	2014	107
5	Toxic Colors: The Use of Deep Learning for Predicting Toxicity of Compounds Merely from Their Graphic Images Journal of Chemical Information and Modeling ·Michael Fernández, Fuqiang Ban, Godwin Woo, Michael Hsing, Takeshi Yamazaki, Eric Leblanc, Paul S. Rennie, William J. Welch, Artem Cherkasov	2018	93
6	Taxonomizing, sizing, and overcoming the incidentalome Genetics in Medicine ·Isaac S. Kohane, Michael Hsing, Sek Won Kong	2012	88
7	The mycobacterial antibiotic resistance determinant WhiB7 acts as a transcriptional activator by binding the primary sigma factor SigA (RpoV) Nucleic Acids Research ·Ján Burian, Grace Yim, Michael Hsing, Peter Axerio-Cilies, Artem Cherkasov, George B. Spiegelman, Charles J. Thompson	2013	75
8	Identification of a Potent Antiandrogen that Targets the BF3 Site of the Androgen Receptor and Inhibits Enzalutamide-Resistant Prostate Cancer Chemistry & Biology ·Ravi S. N. Munuganti, Mohamed D.H. Hassona, Eric Leblanc, Kate Frewin, Kriti Singh, Dennis Ma, Fuqiang Ban, Michael Hsing, Hans Adomat, Nada Lallous, Christophe André, Jon Paul Selvam Jonadass, Amina Zoubeidi, Robert N. Young, Emma Tomlinson Guns, Paul S. Rennie, Artem Cherkasov	2014	59
9	ETS transcription factors as emerging drug targets in cancer Medicinal Research Reviews ·Michael Hsing, Yuzhuo Wang, Paul S. Rennie, Michael Cox, Artem Cherkasov	2019	53
10	The use of Gene Ontology terms for predicting highly-connected 'hub' nodes in protein-protein interaction networks BMC Systems Biology ·Michael Hsing, Kendall Byler, Artem Cherkasov	2008	49
11	Duplex Pinching: A Structural Switch Suitable for Contractile DNA Nanoconstructions Nano Letters ·Richard P. Fahlman, Michael Hsing, Caroline S. Sporer-Tuhten, Dipankar Sen	2003	47
12	CompleteMOTIFs: DNA motif discovery platform for transcription factor binding experiments Bioinformatics ·Lakshmi Kuttippurathu, Michael Hsing, Yongchao Liu, Bertil Schmidt, Douglas L. Maskell, Kyungjoon Lee, Aibin He, William T. Pu, Sek Won Kong	2010	39
13	Drugging the ‘undruggable’. Therapeutic targeting of protein–DNA interactions with the use of computer-aided drug discovery methods Drug Discovery Today ·Mariia Radaeva, Anh‐Tien Ton, Michael Hsing, Fuqiang Ban, Artem Cherkasov	2021	30
14	Orphan nuclear receptors as drug targets for the treatment of prostate and breast cancers Cancer Treatment Reviews ·Mani Roshan‐Moniri, Michael Hsing, Miriam Butler, Artem Cherkasov, Paul S. Rennie	2014	29
15	Relationship between insertion/deletion (indel) frequency of proteins and essentiality BMC Bioinformatics ·Simon K. Chan, Michael Hsing, Fereydoun Hormozdiari, Artem Cherkasov	2007	27
16	The Effect of Insertions and Deletions on Wirings in Protein-Protein Interaction Networks: A Large-Scale Study Journal of Computational Biology ·Fereydoun Hormozdiari, Raheleh Salari, Michael Hsing, Alexander Schönhuth, Simon K. Chan, S. Cenk Şahinalp, Artem Cherkasov	2009	24
17	Indel PDB: A database of structural insertions and deletions derived from sequence alignments of closely related proteins BMC Bioinformatics ·Michael Hsing, Artem Cherkasov	2008	20
18	DeepCOP: deep learning-based approach to predict gene regulating effects of small molecules Bioinformatics ·Godwin Woo, Michael Fernández, Michael Hsing, Nathan A. Lack, Ayşe Derya Cavga, Artem Cherkasov	2019	19
19	Prioritizing Disease-Linked Variants, Genes, and Pathways with an Interactive Whole-Genome Analysis Pipeline Human Mutation ·In‐Hee Lee, Kyungjoon Lee, Michael Hsing, Yongjoon Choe, Jin‐Ho Park, Shu Hee Kim, Justin Bohn, Matthew B. Neu, Kyu‐Baek Hwang, Robert C. Green, Isaac S. Kohane, Sek Won Kong	2014	18
20	Androgen receptor transcriptionally regulates semaphorin 3C in a GATA2-dependent manner Oncotarget ·Kevin J. Tam, Kush Dalal, Michael Hsing, Chi Wing Cheng, Shahram Khosravi, Parvin Yenki, Charan Tse, James W. Peacock, Aishwariya Sharma, Yan Ting Chiang, Yuzhuo Wang, Artem Cherkasov, Paul S. Rennie, Martin Gleave, Christopher J. Ong	2016	15

About Michael Hsing

Michael Hsing is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pulmonary and Respiratory Medicine, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Prostate Cancer Treatment and Research (9 papers), Bioinformatics and Genomic Networks (9 papers), Protein Structure and Dynamics (6 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Genomics and Phylogenetic Studies (3 papers), Genomics and Rare Diseases (3 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Computational Theory and Mathematics (600 citations), Infectious Diseases (266 citations), Molecular Biology (950 citations), Health Informatics (14 citations) and Genetics (266 citations). Michael Hsing has collaborated with scholars based in Canada, United States and South Korea. Frequent co-authors include Artem Cherkasov, Fuqiang Ban, Anh‐Tien Ton, Francesco Gentile, Sek Won Kong, Paul S. Rennie, Martin Gleave, Ulf Norinder, Isaac S. Kohane and Eric Leblanc. Their work appears in journals such as BMC Bioinformatics, Bioinformatics, Journal of Biological Chemistry, Cancer Research and Nano Letters.

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.

Explore authors with similar magnitude of impact