Iain H. Moal

4.0k total citations
36 papers, 2.2k citations indexed

About

Iain H. Moal is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Iain H. Moal has authored 36 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 16 papers in Materials Chemistry and 11 papers in Computational Theory and Mathematics. Recurrent topics in Iain H. Moal's work include Protein Structure and Dynamics (26 papers), Enzyme Structure and Function (16 papers) and Computational Drug Discovery Methods (11 papers). Iain H. Moal is often cited by papers focused on Protein Structure and Dynamics (26 papers), Enzyme Structure and Function (16 papers) and Computational Drug Discovery Methods (11 papers). Iain H. Moal collaborates with scholars based in United Kingdom, Spain and United States. Iain H. Moal's co-authors include Juan Fernández‐Recio, Paul A. Bates, Mieczyslaw Torchala, Brian Jiménez‐García, Raphaël A. G. Chaleil, Zhiping Weng, Panagiotis L. Kastritis, Alexandre M. J. J. Bonvin, Justas Dapkūnas and Rudi Agius and has published in prestigious journals such as Bioinformatics, Journal of Molecular Biology and Scientific Reports.

In The Last Decade

Iain H. Moal

36 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iain H. Moal United Kingdom 20 2.0k 641 557 405 135 36 2.2k
Howook Hwang United States 13 2.1k 1.1× 622 1.0× 533 1.0× 262 0.6× 155 1.1× 18 2.5k
Ryan Brenke United States 11 1.5k 0.8× 536 0.8× 333 0.6× 266 0.7× 84 0.6× 13 1.9k
Brian Jiménez‐García Spain 19 1.6k 0.8× 389 0.6× 302 0.5× 290 0.7× 93 0.7× 30 1.9k
P. Douglas Renfrew United States 17 2.0k 1.0× 272 0.4× 362 0.6× 278 0.7× 73 0.5× 39 2.6k
Andrew A. Bogan United States 6 1.9k 1.0× 379 0.6× 432 0.8× 328 0.8× 143 1.1× 8 2.3k
Sergey Lyskov United States 14 1.6k 0.8× 226 0.4× 323 0.6× 435 1.1× 79 0.6× 19 2.1k
Julian Mintseris United States 24 2.9k 1.5× 640 1.0× 762 1.4× 168 0.4× 243 1.8× 35 3.3k
Maxim Shatsky United States 18 1.3k 0.6× 281 0.4× 503 0.9× 112 0.3× 63 0.5× 26 1.6k
Ursula Schulze‐Gahmen United States 25 1.8k 0.9× 201 0.3× 245 0.4× 440 1.1× 275 2.0× 38 2.5k
Ian Walsh Singapore 25 2.2k 1.1× 144 0.2× 510 0.9× 155 0.4× 140 1.0× 57 2.5k

Countries citing papers authored by Iain H. Moal

Since Specialization
Citations

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

Fields of papers citing papers by Iain H. Moal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iain H. Moal. 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 Iain H. Moal. The network helps show where Iain H. Moal may publish in the future.

Co-authorship network of co-authors of Iain H. Moal

This figure shows the co-authorship network connecting the top 25 collaborators of Iain H. Moal. A scholar is included among the top collaborators of Iain H. Moal 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 Iain H. Moal. Iain H. Moal 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
1.
Olsen, Tobias Hegelund, Iain H. Moal, & Charlotte M. Deane. (2024). Addressing the antibody germline bias and its effect on language models for improved antibody design. Bioinformatics. 40(11). 11 indexed citations
2.
Olsen, Tobias Hegelund, Brennan Abanades, Iain H. Moal, & Charlotte M. Deane. (2023). KA-Search, a method for rapid and exhaustive sequence identity search of known antibodies. Scientific Reports. 13(1). 11612–11612. 5 indexed citations
3.
Olsen, Tobias Hegelund, Iain H. Moal, & Charlotte M. Deane. (2022). AbLang: an antibody language model for completing antibody sequences. Bioinformatics Advances. 2(1). vbac046–vbac046. 88 indexed citations
4.
Moal, Iain H., et al.. (2022). Paragraph—antibody paratope prediction using graph neural networks with minimal feature vectors. Bioinformatics. 39(1). 26 indexed citations
5.
Guest, Johnathan D., Thom Vreven, Jing Zhou, et al.. (2021). An expanded benchmark for antibody-antigen docking and affinity prediction reveals insights into antibody recognition determinants. Structure. 29(6). 606–621.e5. 71 indexed citations
6.
Moal, Iain H., Raphaël A. G. Chaleil, Mieczyslaw Torchala, & Paul A. Bates. (2020). A Guide for Protein–Protein Docking Using SwarmDock. Methods in molecular biology. 2165. 199–216. 2 indexed citations
7.
Kozlov, Alexey M., et al.. (2019). Modeling Structural Constraints on Protein Evolution via Side-Chain Conformational States. Molecular Biology and Evolution. 36(9). 2086–2103. 10 indexed citations
8.
Jiménez‐García, Brian, et al.. (2018). SKEMPI 2.0: an updated benchmark of changes in protein–protein binding energy, kinetics and thermodynamics upon mutation. Bioinformatics. 35(3). 462–469. 218 indexed citations
9.
Moal, Iain H., Raphaël A. G. Chaleil, & Paul A. Bates. (2018). Flexible Protein-Protein Docking with SwarmDock. Methods in molecular biology. 1764. 413–428. 18 indexed citations
10.
Vreven, Thom, Iain H. Moal, Anna Vangone, et al.. (2015). Updates to the Integrated Protein–Protein Interaction Benchmarks: Docking Benchmark Version 5 and Affinity Benchmark Version 2. Journal of Molecular Biology. 427(19). 3031–3041. 304 indexed citations
11.
Valdés, James J. & Iain H. Moal. (2014). Prediction of Kunitz ion channel effectors and protease inhibitors from the Ixodes ricinus sialome. Ticks and Tick-borne Diseases. 5(6). 947–950. 8 indexed citations
12.
Moal, Iain H., Mieczyslaw Torchala, Paul A. Bates, & Juan Fernández‐Recio. (2013). The scoring of poses in protein-protein docking: current capabilities and future directions. BMC Bioinformatics. 14(1). 286–286. 86 indexed citations
13.
Agius, Rudi, Mieczyslaw Torchala, Iain H. Moal, Juan Fernández‐Recio, & Paul A. Bates. (2013). Characterizing Changes in the Rate of Protein-Protein Dissociation upon Interface Mutation Using Hotspot Energy and Organization. PLoS Computational Biology. 9(9). e1003216–e1003216. 30 indexed citations
14.
Moal, Iain H., Rocco Moretti, David Baker, & Juan Fernández‐Recio. (2013). Scoring functions for protein–protein interactions. Current Opinion in Structural Biology. 23(6). 862–867. 74 indexed citations
15.
Moal, Iain H. & Paul A. Bates. (2012). Kinetic Rate Constant Prediction Supports the Conformational Selection Mechanism of Protein Binding. PLoS Computational Biology. 8(1). e1002351–e1002351. 46 indexed citations
16.
Kastritis, Panagiotis L., Iain H. Moal, Howook Hwang, et al.. (2011). A structure‐based benchmark for protein–protein binding affinity. Protein Science. 20(3). 482–491. 234 indexed citations
17.
Li, Xiaofan, Iain H. Moal, & Paul A. Bates. (2010). Detection and refinement of encounter complexes for protein–protein docking: Taking account of macromolecular crowding. Proteins Structure Function and Bioinformatics. 78(15). 3189–3196. 56 indexed citations
18.
19.
Melville, James L., Iain H. Moal, Charles Baker‐Glenn, et al.. (2007). The Structural Determinants of Macrolide-Actin Binding: In Silico Insights. Biophysical Journal. 92(11). 3862–3867. 4 indexed citations
20.
Vincent, Emma E., Janice Saxton, Charles Baker‐Glenn, et al.. (2007). Effects of ulapualide A and synthetic macrolide analogues on actin dynamics and gene regulation. Cellular and Molecular Life Sciences. 64(4). 487–497. 14 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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