Ronan M. Keegan

16.1k total citations · 2 hit papers
61 papers, 11.6k citations indexed

About

Ronan M. Keegan is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Ronan M. Keegan has authored 61 papers receiving a total of 11.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 35 papers in Materials Chemistry and 7 papers in Spectroscopy. Recurrent topics in Ronan M. Keegan's work include Enzyme Structure and Function (32 papers), Protein Structure and Dynamics (26 papers) and RNA and protein synthesis mechanisms (13 papers). Ronan M. Keegan is often cited by papers focused on Enzyme Structure and Function (32 papers), Protein Structure and Dynamics (26 papers) and RNA and protein synthesis mechanisms (13 papers). Ronan M. Keegan collaborates with scholars based in United Kingdom, United States and Germany. Ronan M. Keegan's co-authors include Martyn Winn, Charles Ballard, Randy J. Read, Airlie J. McCoy, Alexei A. Vagin, Stuart McNicholas, Garib N. Murshudov, Eugene Krissinel, Keith S. Wilson and E.J. Dodson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Bioinformatics.

In The Last Decade

Ronan M. Keegan

60 papers receiving 11.5k citations

Hit Papers

align trajectories sort by overperformance

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.

Overview of theCCP4 suite and current developments

2011 10.1k citations Martyn Winn, Charles Ballard et al. Acta Crystallographica Section D Biological Crystallography profile →
High‐accuracy protein structure prediction in CASP14

2021 224 citations Adam J. Simpkin, Daniel J. Rigden et al. Proteins Structure Function and Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ronan M. Keegan United Kingdom	20	8.3k	3.3k	1.1k	897	844	61	11.6k
Charles Ballard United Kingdom	7	7.5k 0.9×	2.8k 0.9×	1.0k 0.9×	905 1.0×	830 1.0×	17	10.6k
Fei Long United Kingdom	19	8.4k 1.0×	3.0k 0.9×	1.1k 1.0×	914 1.0×	705 0.8×	40	11.6k
Andrey A. Lebedev United Kingdom	27	7.4k 0.9×	2.9k 0.9×	1.1k 1.0×	829 0.9×	621 0.7×	93	10.3k
Stuart McNicholas United Kingdom	13	9.6k 1.2×	3.6k 1.1×	1.4k 1.2×	1.1k 1.3×	972 1.2×	19	13.4k
Robert M. Immormino United States	18	9.2k 1.1×	2.3k 0.7×	1.3k 1.2×	919 1.0×	1.0k 1.2×	34	12.7k
Simon C. Lovell United Kingdom	29	9.0k 1.1×	2.6k 0.8×	1.1k 0.9×	601 0.7×	857 1.0×	77	12.0k
Phil Evans United Kingdom	7	7.5k 0.9×	2.7k 0.8×	1.1k 0.9×	886 1.0×	815 1.0×	8	10.5k
Roberto A. Steiner United Kingdom	24	6.6k 0.8×	2.4k 0.7×	872 0.8×	899 1.0×	563 0.7×	48	9.5k
Elizabeth Potterton United Kingdom	8	8.9k 1.1×	3.3k 1.0×	1.3k 1.1×	1.1k 1.2×	951 1.1×	8	12.5k
A. Teplyakov United States	37	8.5k 1.0×	3.1k 1.0×	1.1k 1.0×	1.0k 1.2×	1.1k 1.3×	100	11.7k

Countries citing papers authored by Ronan M. Keegan

Since Specialization

Citations

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

Fields of papers citing papers by Ronan M. Keegan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronan M. Keegan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Simpkin, Adam J., Tom Burnley, Filomeno Sánchez Rodríguez, et al.. (2025). Slice'N'Dice: maximizing the value of predicted models for structural biologists. Acta Crystallographica Section D Structural Biology. 81(3). 105–121. 2 indexed citations

Lebedev, Andrey A., Maria Fando, Ville Uski, et al.. (2024). Linking data sources with CCP4 Cloud: on the verge of a fully online setup for structure determination. Acta Crystallographica Section A Foundations and Advances. 80(a1). e326–e326. 1 indexed citations

Keegan, Ronan M., Adam J. Simpkin, & Daniel J. Rigden. (2024). The success rate of processed predicted models in molecular replacement: implications for experimental phasing in the AlphaFold era. Acta Crystallographica Section D Structural Biology. 80(11). 766–779. 4 indexed citations

Simpkin, Adam J., Iracema Caballero, Stuart McNicholas, et al.. (2023). Predicted models and CCP4. Acta Crystallographica Section D Structural Biology. 79(9). 806–819. 9 indexed citations

Das, Rhiju, Rachael C. Kretsch, Adam J. Simpkin, et al.. (2023). Assessment of three‐dimensional RNA structure prediction in CASP15. Proteins Structure Function and Bioinformatics. 91(12). 1747–1770. 72 indexed citations

Simpkin, Adam J., Filomeno Sánchez Rodríguez, David Murphy, et al.. (2023). Tertiary structure assessment at CASP15. Proteins Structure Function and Bioinformatics. 91(12). 1616–1635. 33 indexed citations

Simpkin, Adam J., Martyn Winn, Daniel J. Rigden, & Ronan M. Keegan. (2021). Redeployment of automated MrBUMP search-model identification for map fitting in cryo-EM. Acta Crystallographica Section D Structural Biology. 77(11). 1378–1385. 2 indexed citations

Thomas, Jens M. H., Ronan M. Keegan, Daniel J. Rigden, & Owen R. Davies. (2020). Extending the scope of coiled-coil crystal structure solution byAMPLEthrough improvedab initiomodelling. Acta Crystallographica Section D Structural Biology. 76(3). 272–284. 8 indexed citations

Biterova, Ekaterina, Michail N. Isupov, Ronan M. Keegan, et al.. (2019). The crystal structure of human microsomal triglyceride transfer protein. Proceedings of the National Academy of Sciences. 116(35). 17251–17260. 55 indexed citations

10.

Keegan, Ronan M., Stuart McNicholas, Jens M. H. Thomas, et al.. (2018). Recent developments inMrBUMP: better search-model preparation, graphical interaction with search models, and solution improvement and assessment. Acta Crystallographica Section D Structural Biology. 74(3). 167–182. 30 indexed citations

11.

Simpkin, Adam J., Felix Šimkovic, Jens M. H. Thomas, et al.. (2018). SIMBAD: a sequence-independent molecular-replacement pipeline. Acta Crystallographica Section D Structural Biology. 74(7). 595–605. 21 indexed citations

12.

Thomas, Jens M. H., Felix Šimkovic, Ronan M. Keegan, et al.. (2017). Approaches toab initiomolecular replacement of α-helical transmembrane proteins. Acta Crystallographica Section D Structural Biology. 73(12). 985–996. 4 indexed citations

13.

Zhang, Jin, Fei Fan, Yanhe Zhao, et al.. (2017). Crystal structure of the type IV secretion system component CagX fromHelicobacter pylori. Acta Crystallographica Section F Structural Biology Communications. 73(3). 167–173. 7 indexed citations

14.

Thomas, Jens M. H., Ronan M. Keegan, Jaclyn Bibby, et al.. (2015). Routine phasing of coiled-coil protein crystal structures withAMPLE. IUCrJ. 2(2). 198–206. 20 indexed citations

15.

Wojdyr, Marcin, Ronan M. Keegan, Graeme Winter, et al.. (2014). A pipeline for the rapid generation of difference maps from protein crystals. Acta Crystallographica Section A Foundations and Advances. 70(a1). C1447–C1447. 2 indexed citations

16.

Lebedev, Andrey A., Charles Ballard, Ronan M. Keegan, et al.. (2013). CCP4 6.4, the next step in the MX software development and distribution. Acta Crystallographica Section A Foundations of Crystallography. 69(a1). s300–s300. 3 indexed citations

17.

Bibby, Jaclyn, Ronan M. Keegan, Olga Mayans, Martyn Winn, & Daniel J. Rigden. (2012). AMPLE: a cluster-and-truncate approach to solve the crystal structures of small proteins using rapidly computedab initiomodels. Acta Crystallographica Section D Biological Crystallography. 68(12). 1622–1631. 93 indexed citations

18.

Winn, Martyn, Charles Ballard, Kevin Cowtan, et al.. (2011). Overview of theCCP4 suite and current developments. Acta Crystallographica Section D Biological Crystallography. 67(4). 235–242. 10064 indexed citations breakdown →

19.

Keegan, Ronan M. & Martyn Winn. (2007). Automated search-model discovery and preparation for structure solution by molecular replacement. Acta Crystallographica Section D Biological Crystallography. 63(4). 447–457. 138 indexed citations

20.

Keegan, Ronan M. & Martyn Winn. (2007). MrBUMP: an automated pipeline for molecular replacement. Acta Crystallographica Section D Biological Crystallography. 64(1). 119–124. 141 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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