Simon Bray

1.5k total citations
9 papers, 95 citations indexed

About

Simon Bray is a scholar working on Molecular Biology, Computational Theory and Mathematics and Biophysics. According to data from OpenAlex, Simon Bray has authored 9 papers receiving a total of 95 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 2 papers in Biophysics. Recurrent topics in Simon Bray's work include Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (4 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). Simon Bray is often cited by papers focused on Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (4 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). Simon Bray collaborates with scholars based in Germany, South Africa and United Kingdom. Simon Bray's co-authors include Björn Grüning, Anup Kumar, Xavier Lucas, Christopher B. Barnett, Steffen Wolf, Kevin J. Naidoo, Rolf Backofen, Tim Dudgeon, Vahid Jalili and Alireza Khanteymoori and has published in prestigious journals such as Bioinformatics, Biophysical Journal and Genome Research.

In The Last Decade

Simon Bray

9 papers receiving 92 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Simon Bray Germany	6	67	35	13	12	12	9	95
Anup Kumar Germany	8	114 1.7×	20 0.6×	23 1.8×	11 0.9×	9 0.8×	15	168
Monica Sekharan United States	4	85 1.3×	11 0.3×	19 1.5×	13 1.1×	6 0.5×	4	115
Austin Clyde United States	7	74 1.1×	75 2.1×	32 2.5×	11 0.9×	3 0.3×	11	149
Dennis W. Piehl United States	3	71 1.1×	15 0.4×	20 1.5×	4 0.3×	5 0.4×	3	110
Jarrod Walsh United Kingdom	7	77 1.1×	56 1.6×	9 0.7×	15 1.3×	19 1.6×	11	147
Karen R. Khar United States	4	81 1.2×	30 0.9×	19 1.5×	9 0.8×	6 0.5×	5	112
Jan‐Willem Boiten Netherlands	4	19 0.3×	19 0.5×	5 0.4×	5 0.4×	7 0.6×	13	61
Joe Patel United States	4	98 1.5×	18 0.5×	7 0.5×	25 2.1×	4 0.3×	4	120
Michael Davies United Kingdom	6	47 0.7×	48 1.4×	11 0.8×	11 0.9×	16 1.3×	12	168
Yasuyo Ikegawa Japan	4	129 1.9×	29 0.8×	59 4.5×	6 0.5×	7 0.6×	6	156

Countries citing papers authored by Simon Bray

Since Specialization

Citations

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

Fields of papers citing papers by Simon Bray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Bray

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

All Works

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9 of 9 papers shown

1.

Bray, Simon, John Chilton, Matthias Bernt, et al.. (2023). The Planemo toolkit for developing, deploying, and executing scientific data analyses in Galaxy and beyond. Genome Research. 33(2). 261–268. 4 indexed citations

2.

Bray, Simon, Tim Dudgeon, R. Skyner, et al.. (2022). Galaxy workflows for fragment-based virtual screening: a case study on the SARS-CoV-2 main protease. Journal of Cheminformatics. 14(1). 22–22. 5 indexed citations

3.

Bray, Simon, et al.. (2022). Ligand Unbinding Pathway and Mechanism Analysis Assisted by Machine Learning and Graph Methods. Journal of Chemical Information and Modeling. 62(19). 4591–4604. 10 indexed citations

4.

Gu, Qiang, Anup Kumar, Simon Bray, et al.. (2021). Galaxy-ML: An accessible, reproducible, and scalable machine learning toolkit for biomedicine. PLoS Computational Biology. 17(6). e1009014–e1009014. 9 indexed citations

5.

Wolf, Steffen, et al.. (2021). Prediction of Absolute Binding and Unbinding Kinetics on Timescales of a Minute from Sub-Microsecond MD Simulations. Biophysical Journal. 120(3). 77a–77a. 1 indexed citations

6.

Bray, Simon, Xavier Lucas, Anup Kumar, & Björn Grüning. (2020). The ChemicalToolbox: reproducible, user-friendly cheminformatics analysis on the Galaxy platform. Journal of Cheminformatics. 12(1). 40–40. 31 indexed citations

7.

Bray, Simon, et al.. (2020). Intuitive, reproducible high-throughput molecular dynamics in Galaxy: a tutorial. Journal of Cheminformatics. 12(1). 54–54. 19 indexed citations

8.

Bray, Simon, et al.. (2020). galaxycomputationalchemistry/htmd-paper-sm: Data and workflows - Intuitive, reproducible high-throughput molecular dynamics in Galaxy: a tutorial. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

9.

Bray, Simon, et al.. (2019). Biomolecular Reaction and Interaction Dynamics Global Environment (BRIDGE). Bioinformatics. 35(18). 3508–3509. 15 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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