Andrew Dalke

72.4k total citations · 2 hit papers
13 papers, 56.0k citations indexed

About

Andrew Dalke is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Andrew Dalke has authored 13 papers receiving a total of 56.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 5 papers in Materials Chemistry. Recurrent topics in Andrew Dalke's work include Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (5 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Andrew Dalke is often cited by papers focused on Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (5 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Andrew Dalke collaborates with scholars based in United States, United Kingdom and Sweden. Andrew Dalke's co-authors include Klaus Schulten, William Humphrey, Brad Chapman, Cymon J. Cox, Thomas Hamelryck, Bartek Wilczyński, Iddo Friedberg, Michiel de Hoon, Peter Cock and Tiago Antão and has published in prestigious journals such as Bioinformatics, Computer Physics Communications and Journal of Chemical Information and Modeling.

In The Last Decade

Andrew Dalke

13 papers receiving 55.5k citations

Hit Papers

VMD: Visual molecular dynamics 1996 2026 2006 2016 1996 2009 10.0k 20.0k 30.0k 40.0k 50.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Dalke United States 9 26.7k 13.0k 7.5k 5.9k 5.1k 13 56.0k
William Humphrey United States 21 24.5k 0.9× 12.8k 1.0× 7.5k 1.0× 5.9k 1.0× 5.2k 1.0× 39 53.5k
David van der Spoel Sweden 57 31.8k 1.2× 12.3k 0.9× 6.9k 0.9× 7.3k 1.2× 10.4k 2.0× 168 61.7k
Erik Lindahl Sweden 54 40.9k 1.5× 12.0k 0.9× 7.4k 1.0× 7.5k 1.3× 9.1k 1.8× 197 71.6k
Kenneth M. Merz United States 73 23.0k 0.9× 8.7k 0.7× 6.7k 0.9× 2.4k 0.4× 8.0k 1.6× 374 41.5k
Tom Darden United States 28 33.8k 1.3× 9.7k 0.7× 5.8k 0.8× 5.5k 0.9× 8.1k 1.6× 49 55.7k
Lee G. Pedersen United States 43 29.2k 1.1× 8.7k 0.7× 5.7k 0.8× 5.2k 0.9× 7.8k 1.5× 222 50.5k
Julian Tirado‐Rives United States 46 12.9k 0.5× 7.5k 0.6× 5.2k 0.7× 3.9k 0.7× 6.1k 1.2× 100 31.2k
Berk Hess Sweden 42 45.1k 1.7× 15.0k 1.1× 9.9k 1.3× 9.2k 1.6× 11.5k 2.2× 119 83.5k
Jeffry D. Madura United States 37 24.2k 0.9× 8.3k 0.6× 4.6k 0.6× 5.5k 0.9× 9.7k 1.9× 127 43.4k
Jayaraman Chandrasekhar India 44 21.9k 0.8× 9.2k 0.7× 9.1k 1.2× 4.5k 0.8× 11.8k 2.3× 181 47.2k

Countries citing papers authored by Andrew Dalke

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Andrew Dalke

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

All Works

13 of 13 papers shown
1.
Dalke, Andrew. (2020). Correction to: The chemfp project. Journal of Cheminformatics. 12(1). 1 indexed citations
2.
Dalke, Andrew. (2019). The chemfp project. Journal of Cheminformatics. 11(1). 76–76. 35 indexed citations
3.
Dalke, Andrew, Jérôme Hert, & Christian Krämer. (2018). mmpdb: An Open-Source Matched Molecular Pair Platform for Large Multiproperty Data Sets. Journal of Chemical Information and Modeling. 58(5). 902–910. 73 indexed citations
4.
Dalke, Andrew & Janna Hastings. (2013). FMCS: a novel algorithm for the multiple MCS problem. Journal of Cheminformatics. 5(S1). 31 indexed citations
5.
Dalke, Andrew. (2013). The FPS fingerprint format and chemfp toolkit. Journal of Cheminformatics. 5(S1). 15 indexed citations
6.
Cock, Peter, Tiago Antão, Jeffrey T. Chang, et al.. (2009). Biopython: freely available Python tools for computational molecular biology and bioinformatics. Bioinformatics. 25(11). 1422–1423. 3496 indexed citations breakdown →
7.
Dalke, Andrew. (2008). Parsers for SMILES and SMARTS. Chemistry Central Journal. 2(S1). 1 indexed citations
8.
Zeller, Mat­thias, J. C. Phillips, Andrew Dalke, et al.. (2002). A visual computing environment for very large scale biomolecular modeling. 3–12. 10 indexed citations
9.
Brunner, Róbert, Christophe Chipot, Andrew Dalke, et al.. (2002). NAMD Version 2.4. 3 indexed citations
10.
Dalke, Andrew & Klaus Schulten. (1997). Using Tcl for molecular visualization and analysis.. PubMed. 85–96. 5 indexed citations
11.
Humphrey, William, Andrew Dalke, & Klaus Schulten. (1996). VMD: Visual molecular dynamics. Journal of Molecular Graphics. 14(1). 33–38. 51916 indexed citations breakdown →
12.
Nelson, Mark T., William Humphrey, Attila Gürsoy, et al.. (1996). NAMD: a Parallel, Object-Oriented Molecular Dynamics Program. 10(4). 251–268. 420 indexed citations
13.
Nelson, Mark T., William Humphrey, Attila Gürsoy, et al.. (1995). MDScope — a visual computing environment for structural biology. Computer Physics Communications. 91(1-3). 111–133. 40 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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