Ian Sillitoe

15.6k citations
55 papers · 3.0k indexed · 1 hit paper · h-index 30
Topics
Genomics and Phylogenetic Studies (28 papers)Machine Learning in Bioinformatics (26 papers)Protein Structure and Dynamics (23 papers)

In The Last Decade

Ian Sillitoe

55 papers receiving 3.0k citations

Hit Papers

CATH: increased structural coverage of functional space2020202620222024202050100150200250

Peers

Ian Sillitoe
Comparison fields: 5 of 127
  • Molecular Biology 2.6k
  • Materials Chemistry 741
  • Computational Theory and Mathematics 242
  • Genetics 210
  • Spectroscopy 163
Replace Dmitrij Frishman with:
Dmitrij Frishman Germany
Nicholas Furnham United Kingdom
Zhenling Peng China
Srivatsan Raman United States
Natalie L. Dawson United Kingdom
Keehyoung Joo South Korea
Ashley C. Stuart United States
Maxim V. Shapovalov United States
Matthew R. Groves Netherlands
Ivan Anishchenko United States
Ian Sillitoe relative to Dmitrij Frishman Germany Dmitrij Frishman's profile →
Citations per field
00.5×11×
Dmitrij Frishman · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 18
2 13
3 33
4 1
5 23
6 44
7 17
8 60
9 13
10 15
11 124
12 18
13 45
14 28
15 30
16 171
17 73
18 36
19 154
20 101

About Ian Sillitoe

Ian Sillitoe is a scholar working on Molecular Biology, Biophysics and Materials Chemistry, having authored 55 papers that have together received 3.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (28 papers), Machine Learning in Bioinformatics (26 papers) and Protein Structure and Dynamics (23 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Materials Chemistry (741 citations) and Computational Theory and Mathematics (242 citations). Ian Sillitoe has collaborated with scholars based in United Kingdom, Malaysia and Spain. Frequent 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. Their work appears in journals such as Science, Nucleic Acids Research and Bioinformatics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026