Michael M. Mysinger

6.3k citations
9 papers · 4.9k · 3 hit papers · h-index 9

Impact in

Papers in

Michael M. Mysinger

9 papers receiving 4.8k citations

Michael M. Mysinger's Hit Papers

AI is a viable alternative to high throughput screening: a 318-target study 2024 · 90 citations
900+4+9Years since publication50010001.5k2.0k

Peers

Michael M. Mysinger
Comparison fields: 5 of 146
  • Computational Theory and Mathematics 2.7k
  • Molecular Biology 2.9k
  • Pharmacology 281
  • Pharmacology 508
  • Organic Chemistry 573
Replace Teague Sterling with:
Teague Sterling United States
A. Geoffrey Skillman United States
George Papadatos United Kingdom
Jacob D. Durrant United States
Francis L. Atkinson United Kingdom
Jianfeng Pei China
David Ryan Koes United States
Michał Nowotka United Kingdom
Gaia Valeria Paolini United Kingdom
Michal Vieth United States
Michael M. Mysinger relative to Teague Sterling United States Teague Sterling's profile →
Citations per field
00.5×1.5×
Teague Sterling · 1×
Citations per year

Countries citing papers authored by Michael M. Mysinger

Since Specialization
Citations

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

Fields of papers citing papers by Michael M. Mysinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Michael M. Mysinger, 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 M. Mysinger Line = papers co-authored together Michael M. Mysinger links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
ZINC: A Free Tool to Discover Chemistry for Biology
Hit paper breakdown →
20122048
2
Directory of Useful Decoys, Enhanced (DUD-E): Better Ligands and Decoys for Better Benchmarking
Hit paper breakdown →
20121825
3 2010268
4 2009240
5 2000119
6 2012116
7 2002104
8
AI is a viable alternative to high throughput screening: a 318-target study
Hit paper breakdown →
202490
9 201742

About Michael M. Mysinger

Michael M. Mysinger is a scholar working on Computational Theory and Mathematics, Pharmacology, Molecular Biology, Materials Chemistry and Pharmacology, having authored 9 papers that have together received 4.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Machine Learning in Materials Science (2 papers), Protein Structure and Dynamics (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Advanced Chemical Physics Studies (1 paper), Advanced Biosensing Techniques and Applications (1 paper), Bioinformatics and Genomic Networks (1 paper) and Analytical Chemistry and Chromatography (1 paper). The work is most often cited by research in Computational Theory and Mathematics (2.7k citations), Molecular Biology (2.9k citations), Pharmacology (281 citations), Pharmacology (508 citations) and Organic Chemistry (573 citations). Michael M. Mysinger has collaborated with scholars based in United States, Italy and China. Frequent co-authors include John J. Irwin, Brian K. Shoichet, Teague Sterling, Coleman Ryan, Erin S. D. Bolstad, Yuniarto Widjaja, Charles B. Musgrave, Jeffrey P. Jones, Kenneth R. Korzekwa and Francesco Colizzi. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry, The Journal of Physical Chemistry B, Proceedings of the National Academy of Sciences and Drug Metabolism and Disposition.

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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