Andrew Dalke
Impact in
- Molecular Biology top 0.05%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Lipid Membrane Structure and Behavior
- DNA and Nucleic Acid Chemistry
- Physical and Theoretical Chemistry top 0.05%
Papers in
-
- Protein Structure and Dynamics 6
- Metabolomics and Mass Spectrometry Studies 3
-
- Computational Drug Discovery Methods 5
- Co-authors
- Klaus Schulten (5 shared papers)William Humphrey (5 shared papers)Jeffrey T. Chang (1 shared paper)Thomas Hamelryck (1 shared paper)Frank Kauff (1 shared paper)Bartek Wilczyński (1 shared paper)Cymon J. Cox (1 shared paper)Peter Cock (1 shared paper)
- Journals
- Journal of Cheminformatics (4 papers)Bioinformatics (1 paper)Computer Physics Communications (1 paper)Journal of Chemical Information and Modeling (1 paper)Chemistry Central Journal (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Andrew Dalke
15 papers receiving 57.9k citations
Andrew Dalke's Hit Papers
Peers
Comparison fields: 5 of 210
- Molecular Biology 26.7k
- Physical and Theoretical Chemistry 3.5k
- Materials Chemistry 13.3k
- Organic Chemistry 7.6k
- Catalysis 1.9k
Countries citing papers authored by Andrew Dalke
This map shows the geographic impact of Andrew Dalke'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 Andrew Dalke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Dalke more than expected).
Fields of papers citing papers by Andrew Dalke
This network shows the impact of papers produced by Andrew Dalke. 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 Andrew Dalke. The network helps show where Andrew Dalke may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Dalke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | VMD: Visual molecular dynamics Hit paper breakdown → | 1996 | 53911 |
| 2 | Biopython: freely available Python tools for computational molecular biology and bioinformatics Hit paper breakdown → | 2009 | 3678 |
| 3 | 1996 | 463 | |
| 4 | rdkit/rdkit: 2025_03_6 (Q1 2025) Release Hit paper breakdown → | 2025 | 100 |
| 5 | 2018 | 75 | |
| 6 | 1995 | 45 | |
| 7 | 2019 | 35 | |
| 8 | 2013 | 34 | |
| 9 | 2013 | 16 | |
| 10 | 2002 | 11 | |
| 11 | 1995 | 6 | |
| 12 | Using Tcl for molecular visualization and analysis. | 1997 | 5 |
| 13 | NAMD Version 2.4 | 2002 | 3 |
| 14 | 2020 | 1 | |
| 15 | 2008 | 1 |
About Andrew Dalke
Andrew Dalke is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Spectroscopy and Computer Networks and Communications, having authored 15 papers that have together received 58.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (5 papers), Enzyme Structure and Function (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Analytical Chemistry and Chromatography (2 papers), Machine Learning in Materials Science (2 papers), Electrowetting and Microfluidic Technologies (1 paper) and Fluorine in Organic Chemistry (1 paper). The work is most often cited by research in Molecular Biology (26.7k citations), Physical and Theoretical Chemistry (3.5k citations), Materials Chemistry (13.3k citations), Organic Chemistry (7.6k citations) and Catalysis (1.9k citations). Andrew Dalke has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Klaus Schulten, William Humphrey, Jeffrey T. Chang, Thomas Hamelryck, Frank Kauff, Bartek Wilczyński, Cymon J. Cox, Peter Cock, Tiago Antão and Brad Chapman. Their work appears in journals such as Journal of Cheminformatics, Bioinformatics, Computer Physics Communications, Journal of Chemical Information and Modeling and Chemistry Central Journal.
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.