Ian Sillitoe

15.6k total citations · 1 hit paper
55 papers, 3.0k citations indexed

About

Ian Sillitoe is a scholar working on Molecular Biology, Materials Chemistry and Infectious Diseases. According to data from OpenAlex, Ian Sillitoe has authored 55 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 8 papers in Materials Chemistry and 2 papers in Infectious Diseases. Recurrent topics in Ian Sillitoe's work include Genomics and Phylogenetic Studies (28 papers), Machine Learning in Bioinformatics (26 papers) and Protein Structure and Dynamics (23 papers). Ian Sillitoe is often cited by papers focused on Genomics and Phylogenetic Studies (28 papers), Machine Learning in Bioinformatics (26 papers) and Protein Structure and Dynamics (23 papers). Ian Sillitoe collaborates with scholars based in United Kingdom, Malaysia and Spain. Ian Sillitoe's co-authors include Christine Orengo, Jonathan Lees, Natalie L. Dawson, Janet M. Thornton, Tony E. Lewis, David Lee, Sayoni Das, Paul Ashford, Alison Cuff and Nicholas Furnham and has published in prestigious journals such as Science, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Ian Sillitoe

55 papers receiving 3.0k 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.

CATH: increased structural coverage of functional space

2020 280 citations Ian Sillitoe, Nicola Bordin et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ian Sillitoe United Kingdom	30	2.6k	741	242	210	163	55	3.0k
Maxim V. Shapovalov United States	15	2.7k 1.0×	915 1.2×	412 1.7×	175 0.8×	225 1.4×	18	3.3k
Keehyoung Joo South Korea	19	1.6k 0.6×	480 0.6×	243 1.0×	179 0.9×	119 0.7×	49	2.2k
Ivan Anishchenko United States	19	2.5k 1.0×	598 0.8×	372 1.5×	181 0.9×	76 0.5×	37	3.1k
Srivatsan Raman United States	25	2.9k 1.1×	642 0.9×	247 1.0×	376 1.8×	271 1.7×	47	3.7k
Dmitrij Frishman Germany	11	2.5k 0.9×	764 1.0×	202 0.8×	161 0.8×	237 1.5×	17	2.9k
Zhenling Peng China	29	3.5k 1.3×	725 1.0×	446 1.8×	195 0.9×	149 0.9×	60	4.1k
Bjørn Olav Brandsdal Norway	31	2.2k 0.8×	669 0.9×	378 1.6×	179 0.9×	143 0.9×	65	3.1k
Nicholas Furnham United Kingdom	26	1.8k 0.7×	488 0.7×	348 1.4×	239 1.1×	115 0.7×	55	2.5k
Thomas Madej United States	18	1.9k 0.7×	677 0.9×	219 0.9×	189 0.9×	91 0.6×	26	2.5k
Ezgi Karaca Türkiye	20	2.3k 0.9×	417 0.6×	286 1.2×	247 1.2×	134 0.8×	44	3.0k

Countries citing papers authored by Ian Sillitoe

Since Specialization

Citations

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

Fields of papers citing papers by Ian Sillitoe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Sillitoe

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Sillitoe. A scholar is included among the top collaborators of Ian Sillitoe 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 Ian Sillitoe. Ian Sillitoe 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

Hawkins‐Hooker, Alex, et al.. (2024). Chainsaw: protein domain segmentation with fully convolutional neural networks. Bioinformatics. 40(5). 18 indexed citations

Waman, Vaishali, Nicola Bordin, Robert J. Vickerstaff, et al.. (2024). CATH 2024: CATH-AlphaFlow Doubles the Number of Structures in CATH and Reveals Nearly 200 New Folds. Journal of Molecular Biology. 436(17). 168551–168551. 13 indexed citations

Lau, Andy M., Nicola Bordin, Shaun M. Kandathil, et al.. (2024). Exploring structural diversity across the protein universe with The Encyclopedia of Domains. Science. 386(6721). eadq4946–eadq4946. 33 indexed citations

Waman, Vaishali, Paul Ashford, Su Datt Lam, et al.. (2024). Predicting human and viral protein variants affecting COVID-19 susceptibility and repurposing therapeutics. Scientific Reports. 14(1). 14208–14208. 1 indexed citations

Bordin, Nicola, Ian Sillitoe, Michael Heinzinger, et al.. (2023). CATHe: detection of remote homologues for CATH superfamilies using embeddings from protein language models. Bioinformatics. 39(1). 23 indexed citations

Bordin, Nicola, Ian Sillitoe, Clemens Rauer, et al.. (2023). AlphaFold2 reveals commonalities and novelties in protein structure space for 21 model organisms. Communications Biology. 6(1). 160–160. 44 indexed citations

Sen, Neeladri, Ivan Anishchenko, Nicola Bordin, et al.. (2022). Characterizing and explaining the impact of disease-associated mutations in proteins without known structures or structural homologs. Briefings in Bioinformatics. 23(4). 17 indexed citations

Heinzinger, Michael, Maria Littmann, Ian Sillitoe, et al.. (2022). Contrastive learning on protein embeddings enlightens midnight zone. NAR Genomics and Bioinformatics. 4(2). lqac043–lqac043. 60 indexed citations

Perkins, James R., et al.. (2022). Assigning protein function from domain-function associations using DomFun. BMC Bioinformatics. 23(1). 43–43. 13 indexed citations

10.

Tordai, Hedvig, et al.. (2022). Comprehensive Collection and Prediction of ABC Transmembrane Protein Structures in the AI Era of Structural Biology. International Journal of Molecular Sciences. 23(16). 8877–8877. 15 indexed citations

11.

Lewis, Tony E., Ian Sillitoe, Natalie L. Dawson, et al.. (2017). Gene3D: Extensive prediction of globular domains in proteins. Nucleic Acids Research. 46(D1). D435–D439. 124 indexed citations

12.

Dawson, Natalie L., Ian Sillitoe, Russell L. Marsden, & Christine Orengo. (2016). The Classification of Protein Domains. Methods in molecular biology. 1525. 137–164. 18 indexed citations

13.

Lam, Su Datt, Natalie L. Dawson, Sayoni Das, et al.. (2015). Gene3D: expanding the utility of domain assignments. Nucleic Acids Research. 44(D1). D404–D409. 45 indexed citations

14.

Sillitoe, Ian, Natalie L. Dawson, Janet M. Thornton, & Christine Orengo. (2015). The history of the CATH structural classification of protein domains. Biochimie. 119. 209–217. 28 indexed citations

15.

Cuesta, Sergio Martínez, Nicholas Furnham, Syed Asad Rahman, Ian Sillitoe, & Janet M. Thornton. (2014). The evolution of enzyme function in the isomerases. Current Opinion in Structural Biology. 26. 121–130. 30 indexed citations

16.

Sillitoe, Ian, Alison Cuff, Benoît H. Dessailly, et al.. (2012). New functional families (FunFams) in CATH to improve the mapping of conserved functional sites to 3D structures. Nucleic Acids Research. 41(D1). D490–D498. 171 indexed citations

17.

Furnham, Nicholas, Ian Sillitoe, Gemma L. Holliday, et al.. (2012). Exploring the Evolution of Novel Enzyme Functions within Structurally Defined Protein Superfamilies. PLoS Computational Biology. 8(3). e1002403–e1002403. 73 indexed citations

18.

Cuff, Alison, Oliver Redfern, Lesley H. Greene, et al.. (2009). The CATH Hierarchy Revisited—Structural Divergence in Domain Superfamilies and the Continuity of Fold Space. Structure. 17(8). 1051–1062. 36 indexed citations

19.

Cuff, Alison, Ian Sillitoe, Tony E. Lewis, et al.. (2008). The CATH classification revisited--architectures reviewed and new ways to characterize structural divergence in superfamilies. Nucleic Acids Research. 37(Database). D310–D314. 154 indexed citations

20.

Orengo, Christine, et al.. (1999). Analysis and assessment of ab initio three‐dimensional prediction, secondary structure, and contacts prediction. Proteins Structure Function and Bioinformatics. 37(S3). 149–170. 101 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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