Michael Chiu

1.4k total citations
11 papers, 908 citations indexed

About

Michael Chiu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Michael Chiu has authored 11 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 4 papers in Materials Chemistry. Recurrent topics in Michael Chiu's work include Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (5 papers) and Machine Learning in Materials Science (2 papers). Michael Chiu is often cited by papers focused on Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (5 papers) and Machine Learning in Materials Science (2 papers). Michael Chiu collaborates with scholars based in United States, Switzerland and France. Michael Chiu's co-authors include Michael K. Gilson, David L. Mobley, S.K. Burley, Rommie E. Amaro, Michael R. Shirts, W. Patrick Walters, Huanwang Yang, Chenghua Shao, Shuai Liu and Victoria A. Feher and has published in prestigious journals such as Structure, Molecular Pharmaceutics and The AAPS Journal.

In The Last Decade

Michael Chiu

11 papers receiving 896 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Chiu United States 10 679 523 313 123 115 11 908
Alan P. Graves United States 14 816 1.2× 360 0.7× 189 0.6× 104 0.8× 105 0.9× 21 1.0k
Bryce K. Allen United States 10 931 1.4× 472 0.9× 235 0.8× 145 1.2× 118 1.0× 17 1.2k
Changge Ji China 17 630 0.9× 308 0.6× 268 0.9× 144 1.2× 160 1.4× 34 1.1k
Stewart A. Adcock United States 8 781 1.2× 238 0.5× 265 0.8× 78 0.6× 164 1.4× 9 1.1k
Kaushik Raha United States 12 709 1.0× 374 0.7× 165 0.5× 212 1.7× 72 0.6× 16 949
Michael J. Bodkin United Kingdom 14 683 1.0× 456 0.9× 206 0.7× 85 0.7× 65 0.6× 26 990
Scott D. Bembenek United States 18 725 1.1× 503 1.0× 344 1.1× 231 1.9× 132 1.1× 30 1.4k
Ben Davis United Kingdom 19 1.2k 1.8× 349 0.7× 318 1.0× 149 1.2× 67 0.6× 33 1.5k
Martin Peters United States 14 625 0.9× 230 0.4× 139 0.4× 234 1.9× 77 0.7× 21 940
Mark Mackey United Kingdom 11 590 0.9× 439 0.8× 190 0.6× 168 1.4× 36 0.3× 19 980

Countries citing papers authored by Michael Chiu

Since Specialization
Citations

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

Fields of papers citing papers by Michael Chiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Chiu

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

All Works

11 of 11 papers shown
1.
parks, conor, Zied Gaieb, Michael Chiu, et al.. (2020). D3R grand challenge 4: blind prediction of protein–ligand poses, affinity rankings, and relative binding free energies. Journal of Computer-Aided Molecular Design. 34(2). 99–119. 85 indexed citations
2.
Gaieb, Zied, conor parks, Michael Chiu, et al.. (2019). D3R Grand Challenge 3: blind prediction of protein–ligand poses and affinity rankings. Journal of Computer-Aided Molecular Design. 33(1). 1–18. 97 indexed citations
3.
Wagner, Jeffrey, Christopher Churas, Shuai Liu, et al.. (2019). Continuous Evaluation of Ligand Protein Predictions: A Weekly Community Challenge for Drug Docking. Structure. 27(8). 1326–1335.e4. 36 indexed citations
4.
Rizzi, Andrea, Steven Murkli, Wei Yao, et al.. (2018). Overview of the SAMPL6 host–guest binding affinity prediction challenge. Journal of Computer-Aided Molecular Design. 32(10). 937–963. 107 indexed citations
5.
Gaieb, Zied, Shuai Liu, Symon Gathiaka, et al.. (2017). D3R Grand Challenge 2: blind prediction of protein–ligand poses, affinity rankings, and relative binding free energies. Journal of Computer-Aided Molecular Design. 32(1). 1–20. 144 indexed citations
6.
Gathiaka, Symon, Shuai Liu, Michael Chiu, et al.. (2016). D3R grand challenge 2015: Evaluation of protein–ligand pose and affinity predictions. Journal of Computer-Aided Molecular Design. 30(9). 651–668. 159 indexed citations
7.
Yin, Jian, Niel M. Henriksen, David R. Slochower, et al.. (2016). Overview of the SAMPL5 host–guest challenge: Are we doing better?. Journal of Computer-Aided Molecular Design. 31(1). 1–19. 141 indexed citations
8.
Bannan, Caitlin C., et al.. (2016). Blind prediction of cyclohexane–water distribution coefficients from the SAMPL5 challenge. Journal of Computer-Aided Molecular Design. 30(11). 927–944. 90 indexed citations
9.
Rule, Adam, Steven Rick, Michael Chiu, et al.. (2015). Validating free-text order entry for a note-centric EHR.. PubMed. 2015. 1103–10. 7 indexed citations
10.
Wang, Hongyan, Ming Chiu, Zhiliang Xie, et al.. (2012). Synthetic MicroRNA Cassette Dosing: Pharmacokinetics, Tissue Distribution and Bioactivity. Molecular Pharmaceutics. 9(6). 1638–1644. 25 indexed citations
11.
Chan, Kenneth K., Zhongfa Liu, Zhiliang Xie, et al.. (2010). A Novel Ultrasensitive Hybridization-Based ELISA Method for 2-Methoxyphosphorothiolate MicroRNAs and Its In vitro and In vivo Application. The AAPS Journal. 12(4). 556–568. 17 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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