David W. Ritchie

5.5k total citations · 1 hit paper
70 papers, 3.6k citations indexed

About

David W. Ritchie is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, David W. Ritchie has authored 70 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 27 papers in Materials Chemistry and 18 papers in Computational Theory and Mathematics. Recurrent topics in David W. Ritchie's work include Protein Structure and Dynamics (38 papers), Enzyme Structure and Function (24 papers) and Computational Drug Discovery Methods (18 papers). David W. Ritchie is often cited by papers focused on Protein Structure and Dynamics (38 papers), Enzyme Structure and Function (24 papers) and Computational Drug Discovery Methods (18 papers). David W. Ritchie collaborates with scholars based in France, United Kingdom and Austria. David W. Ritchie's co-authors include Vishwesh Venkatraman, Graham J. Kemp, Lazaros Mavridis, Marie‐Dominique Devignes, Violeta I. Pérez‐Nueno, Dima Kozakov, Sándor Vajda, Anisah W. Ghoorah, Malika Smaïl‐Tabbone and Gwyneth Bertram and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

David W. Ritchie

69 papers receiving 3.5k 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.

HexServer: an FFT-based protein docking server powered by graphics processors

2010 511 citations Lazaros Mavridis, Vishwesh Venkatraman et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David W. Ritchie France	26	2.5k	907	726	399	328	70	3.6k
Paul Czodrowski Germany	21	2.5k 1.0×	1.3k 1.4×	738 1.0×	305 0.8×	318 1.0×	41	4.2k
Daniel Seeliger Germany	24	2.5k 1.0×	798 0.9×	475 0.7×	255 0.6×	386 1.2×	43	3.8k
Christine Zardecki United States	18	3.2k 1.3×	897 1.0×	778 1.1×	260 0.7×	414 1.3×	45	4.5k
Zukang Feng United States	14	2.6k 1.1×	739 0.8×	823 1.1×	188 0.5×	332 1.0×	30	3.6k
Wolfgang F. Bluhm United States	18	3.3k 1.3×	688 0.8×	611 0.8×	231 0.6×	350 1.1×	32	4.6k
Chaya S. Rapp United States	12	2.0k 0.8×	623 0.7×	471 0.6×	265 0.7×	378 1.2×	14	2.8k
Duncan Poole United States	4	3.0k 1.2×	534 0.6×	659 0.9×	261 0.7×	431 1.3×	5	4.3k
Michel A. Cuendet Switzerland	22	2.1k 0.8×	639 0.7×	490 0.7×	340 0.9×	577 1.8×	54	4.0k
Helge Weissig United States	13	2.9k 1.2×	565 0.6×	475 0.7×	321 0.8×	451 1.4×	23	3.9k
Herman van Vlijmen Belgium	38	3.1k 1.2×	1.3k 1.5×	784 1.1×	254 0.6×	406 1.2×	98	4.3k

Countries citing papers authored by David W. Ritchie

Since Specialization

Citations

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

Fields of papers citing papers by David W. Ritchie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David W. Ritchie. 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 David W. Ritchie. The network helps show where David W. Ritchie may publish in the future.

Co-authorship network of co-authors of David W. Ritchie

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

All Works

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20 of 20 papers shown

Alborzi, Seyed Ziaeddin, et al.. (2021). PPIDomainMiner: Inferring domain-domain interactions from multiple sources of protein-protein interactions. PLoS Computational Biology. 17(8). e1008844–e1008844. 11 indexed citations

Ritchie, David W., et al.. (2020). GrAPFI: predicting enzymatic function of proteins from domain similarity graphs. BMC Bioinformatics. 21(1). 168–168. 7 indexed citations

Soler, Nicolás, Isaure Chauvot de Beauchêne, Virginie Libante, et al.. (2019). Characterization of a relaxase belonging to the MOBT family, a widespread family in Firmicutes mediating the transfer of ICEs. Mobile DNA. 10(1). 18–18. 19 indexed citations

Krieger, Célia, Bernd Schneider, Jérémy Grosjean, et al.. (2018). The CYP71AZ P450 Subfamily: A Driving Factor for the Diversification of Coumarin Biosynthesis in Apiaceous Plants. Frontiers in Plant Science. 9. 820–820. 27 indexed citations

López‐Blanco, José Ramón, David W. Ritchie, & Pablo Chacón. (2017). Towards a Multicomponent Cryo-EM Density Flexible Fitting Tool. Biophysical Journal. 112(3). 575a–575a. 1 indexed citations

Dey, Sucharita, David W. Ritchie, & Emmanuel D. Levy. (2017). PDB-wide identification of biological assemblies from conserved quaternary structure geometry. Nature Methods. 15(1). 67–72. 56 indexed citations

Alborzi, Seyed Ziaeddin, Marie‐Dominique Devignes, & David W. Ritchie. (2017). ECDomainMiner: discovering hidden associations between enzyme commission numbers and Pfam domains. BMC Bioinformatics. 18(1). 107–107. 19 indexed citations

Padhorny, Dzmitry, Andrey Kazennov, Brandon S. Zerbe, et al.. (2016). Protein–protein docking by fast generalized Fourier transforms on 5D rotational manifolds. Proceedings of the National Academy of Sciences. 113(30). E4286–93. 44 indexed citations

Ghoorah, Anisah W., Marie‐Dominique Devignes, Malika Smaïl‐Tabbone, & David W. Ritchie. (2016). Classification and Exploration of 3D Protein Domain Interactions Using Kbdock. Methods in molecular biology. 1415. 91–105. 6 indexed citations

10.

Bourquard, Thomas, Flavie Landomiel, Éric Reiter, et al.. (2015). Unraveling the molecular architecture of a G protein-coupled receptor/β-arrestin/Erk module complex. Scientific Reports. 5(1). 10760–10760. 38 indexed citations

11.

Hoang, Thai V., et al.. (2013). gEMfitter: A highly parallel FFT-based 3D density fitting tool with GPU texture memory acceleration. Journal of Structural Biology. 184(2). 348–354. 15 indexed citations

12.

Venkatraman, Vishwesh & David W. Ritchie. (2012). Flexible protein docking refinement using pose‐dependent normal mode analysis. Proteins Structure Function and Bioinformatics. 80(9). 2262–2274. 44 indexed citations

13.

Ghemtio, Léo, Violeta I. Pérez‐Nueno, Vincent Leroux, et al.. (2012). Recent Trends and Applications in 3D Virtual Screening. Combinatorial Chemistry & High Throughput Screening. 15(9). 749–769. 11 indexed citations

14.

Pérez‐Nueno, Violeta I. & David W. Ritchie. (2011). Identifying and characterizing promiscuous targets: Implications for virtual screening. Expert Opinion on Drug Discovery. 7(1). 1–17. 14 indexed citations

15.

Venkatraman, Vishwesh, et al.. (2011). Exploring c‐Met kinase flexibility by sampling and clustering its conformational space. Proteins Structure Function and Bioinformatics. 80(4). 1227–1238. 11 indexed citations

16.

Ritchie, David W., Vishwesh Venkatraman, & Lazaros Mavridis. (2010). Using Graphics Processors to Accelerate Protein Docking Calculations. Studies in health technology and informatics. 159. 146–55. 2 indexed citations

17.

Carrieri, Antonio, et al.. (2009). Biological Profiling of Anti‐HIV Agents and Insight into CCR5 Antagonist Binding Using in silico Techniques. ChemMedChem. 4(7). 1153–1163. 13 indexed citations

18.

Ritchie, David W.. (2008). Recent Progress and Future Directions in Protein-Protein Docking. Current Protein and Peptide Science. 9(1). 1–15. 248 indexed citations

19.

Ritchie, David W.. (2003). Evaluation of protein docking predictions using Hex 3.1 in CAPRI rounds 1 and 2. Proteins Structure Function and Bioinformatics. 52(1). 98–106. 174 indexed citations

20.

Ritchie, David W., et al.. (2001). Case Study Class Tests: Assessment Directing Learning. Journal of Nursing Education. 40(1). 40–42. 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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