Michael Hsing

2.6k total citations · 2 hit papers
35 papers, 1.6k citations indexed

About

Michael Hsing is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michael Hsing has authored 35 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michael Hsing's work include Computational Drug Discovery Methods (11 papers), Bioinformatics and Genomic Networks (9 papers) and Prostate Cancer Treatment and Research (9 papers). Michael Hsing is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Bioinformatics and Genomic Networks (9 papers) and Prostate Cancer Treatment and Research (9 papers). Michael Hsing collaborates with scholars based in Canada, United States and South Korea. Michael Hsing's 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 and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nano Letters.

In The Last Decade

Michael Hsing

35 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

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

2020 382 citations Anh‐Tien Ton, Francesco Gentile et al. Molecular Informatics profile →
Deep Docking: A Deep Learning Platform for Augmentation of Structure Based Drug Discovery

2020 259 citations Francesco Gentile, Michael Hsing et al. ACS Central Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Hsing Canada	19	950	600	266	266	178	35	1.6k
Vidya Rajendran India	21	1.1k 1.2×	448 0.7×	258 1.0×	131 0.5×	77 0.4×	28	1.9k
Shan Chang China	21	1.1k 1.1×	374 0.6×	140 0.5×	203 0.8×	135 0.8×	92	1.6k
Ðắc-Trung Nguyễn United States	25	1.1k 1.1×	790 1.3×	122 0.5×	162 0.6×	131 0.7×	40	1.9k
Marie‐Dominique Devignes France	22	1.0k 1.1×	206 0.3×	116 0.4×	200 0.8×	95 0.5×	88	2.1k
Aman Chandra Kaushik China	25	923 1.0×	411 0.7×	241 0.9×	51 0.2×	143 0.8×	94	1.7k
Adam Yasgar United States	25	1.4k 1.5×	540 0.9×	144 0.5×	141 0.5×	116 0.7×	51	2.4k
Rao Sethumadhavan India	23	1.3k 1.3×	205 0.3×	111 0.4×	192 0.7×	113 0.6×	88	1.8k
Jeng‐Sen Tseng Taiwan	15	1.2k 1.2×	261 0.4×	145 0.5×	119 0.4×	216 1.2×	64	2.3k
S. Betzi France	22	951 1.0×	342 0.6×	238 0.9×	65 0.2×	115 0.6×	38	1.5k
Özlem Demir United States	22	1.1k 1.2×	250 0.4×	195 0.7×	101 0.4×	92 0.5×	74	1.8k

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-authorship network of co-authors of Michael Hsing

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

All Works

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

20 of 20 papers shown

Tam, Kevin J., Liangliang Liu, Michael Hsing, et al.. (2024). Clinically-observed FOXA1 mutations upregulate SEMA3C through transcriptional derepression in prostate cancer. Scientific Reports. 14(1). 7082–7082. 2 indexed citations

Hsing, Michael, et al.. (2021). Deep Modeling of Regulating Effects of Small Molecules on Longevity-Associated Genes. Pharmaceuticals. 14(10). 948–948. 3 indexed citations

Ton, Anh‐Tien, et al.. (2021). Drugging the ‘undruggable’. Therapeutic targeting of protein–DNA interactions with the use of computer-aided drug discovery methods. Drug Discovery Today. 26(11). 2660–2679. 30 indexed citations

Gentile, Francesco, Michael Hsing, Anh‐Tien Ton, et al.. (2020). Deep Docking: A Deep Learning Platform for Augmentation of Structure Based Drug Discovery. ACS Central Science. 6(6). 939–949. 259 indexed citations breakdown →

Ton, Anh‐Tien, Francesco Gentile, Michael Hsing, Fuqiang Ban, & Artem Cherkasov. (2020). Rapid Identification of Potential Inhibitors of SARS‐CoV‐2 Main Protease by Deep Docking of 1.3 Billion Compounds. Molecular Informatics. 39(8). e2000028–e2000028. 382 indexed citations breakdown →

Fernández, Michael, et al.. (2019). DeepCOP: deep learning-based approach to predict gene regulating effects of small molecules. Bioinformatics. 36(3). 813–818. 19 indexed citations

Fernández, Michael, Fuqiang Ban, Michael Hsing, et al.. (2018). Toxic Colors: The Use of Deep Learning for Predicting Toxicity of Compounds Merely from Their Graphic Images. Journal of Chemical Information and Modeling. 58(8). 1533–1543. 93 indexed citations

Hsing, Michael, et al.. (2017). The future of prostate cancer precision medicine: anti-ERG therapies. Translational Cancer Research. 6. 1 indexed citations

Tam, Kevin J., Kush Dalal, Michael Hsing, et al.. (2016). Androgen receptor transcriptionally regulates semaphorin 3C in a GATA2-dependent manner. Oncotarget. 8(6). 9617–9633. 15 indexed citations

10.

Dalal, Kush, Mani Roshan‐Moniri, Aishwariya Sharma, et al.. (2015). Abstract 1778: Selectively targeting the DNA-binding domain of the androgen receptor as a prospective therapy for prostate cancer. Cancer Research. 75(15_Supplement). 1778–1778. 1 indexed citations

11.

Hassona, Mohamed D.H., Eric Leblanc, Kate Frewin, et al.. (2014). Identification of a Potent Antiandrogen that Targets the BF3 Site of the Androgen Receptor and Inhibits Enzalutamide-Resistant Prostate Cancer. Chemistry & Biology. 21(11). 1476–1485. 59 indexed citations

12.

Burian, Ján, Grace Yim, Michael Hsing, et al.. (2013). The mycobacterial antibiotic resistance determinant WhiB7 acts as a transcriptional activator by binding the primary sigma factor SigA (RpoV). Nucleic Acids Research. 41(22). 10062–10076. 75 indexed citations

13.

Kohane, Isaac S., Michael Hsing, & Sek Won Kong. (2012). Taxonomizing, sizing, and overcoming the incidentalome. Genetics in Medicine. 14(4). 399–404. 88 indexed citations

14.

Hsing, Michael, Kendall Byler, & Artem Cherkasov. (2009). Predicting highly-connected hubs in protein interaction networks by QSAR and biological data descriptors. Bioinformation. 4(4). 164–168. 5 indexed citations

15.

Hormozdiari, Fereydoun, Raheleh Salari, Michael Hsing, et al.. (2009). The Effect of Insertions and Deletions on Wirings in Protein-Protein Interaction Networks: A Large-Scale Study. Journal of Computational Biology. 16(2). 159–167. 24 indexed citations

16.

Hsing, Michael, Kendall Byler, & Artem Cherkasov. (2008). The use of Gene Ontology terms for predicting highly-connected 'hub' nodes in protein-protein interaction networks. BMC Systems Biology. 2(1). 80–80. 49 indexed citations

17.

Hsing, Michael & Artem Cherkasov. (2008). Indel PDB: A database of structural insertions and deletions derived from sequence alignments of closely related proteins. BMC Bioinformatics. 9(1). 293–293. 20 indexed citations

18.

Chan, Simon K., Michael Hsing, Fereydoun Hormozdiari, & Artem Cherkasov. (2007). Relationship between insertion/deletion (indel) frequency of proteins and essentiality. BMC Bioinformatics. 8(1). 227–227. 27 indexed citations

19.

Hsing, Michael, et al.. (2004). Interaction profile-based protein classification of death domain. BMC Bioinformatics. 5(1). 75–75. 1 indexed citations

20.

Hsing, Michael, et al.. (2004). Modeling of cell signaling pathways in macrophages by semantic networks. BMC Bioinformatics. 5(1). 156–156. 4 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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