Jonathan D. Tyzack

1.6k total citations
26 papers, 962 citations indexed

About

Jonathan D. Tyzack is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Jonathan D. Tyzack has authored 26 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 13 papers in Computational Theory and Mathematics and 6 papers in Pharmacology. Recurrent topics in Jonathan D. Tyzack's work include Microbial Metabolic Engineering and Bioproduction (13 papers), Computational Drug Discovery Methods (13 papers) and Protein Structure and Dynamics (8 papers). Jonathan D. Tyzack is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (13 papers), Computational Drug Discovery Methods (13 papers) and Protein Structure and Dynamics (8 papers). Jonathan D. Tyzack collaborates with scholars based in United Kingdom, Denmark and Brazil. Jonathan D. Tyzack's co-authors include Johannes Kirchmair, Janet M. Thornton, António J. M. Ribeiro, Robert C. Glen, Mark J. Williamson, Gemma L. Holliday, Neera Borkakoti, Nicholas Furnham, Andreas Bender and Lu Tan and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Bioinformatics.

In The Last Decade

Jonathan D. Tyzack

26 papers receiving 948 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan D. Tyzack United Kingdom 13 654 401 252 131 118 26 962
Tyler B. Hughes United States 14 400 0.6× 391 1.0× 208 0.8× 62 0.5× 156 1.3× 18 811
Nikolay Savchuk United States 16 460 0.7× 569 1.4× 132 0.5× 199 1.5× 134 1.1× 31 911
Alex. M. Weir United Kingdom 2 424 0.6× 371 0.9× 151 0.6× 70 0.5× 74 0.6× 2 956
Noriyuki Yamaotsu Japan 17 623 1.0× 252 0.6× 230 0.9× 126 1.0× 71 0.6× 51 1.0k
Jed Zaretzki United States 11 414 0.6× 472 1.2× 306 1.2× 113 0.9× 60 0.5× 12 753
C. Mak China 3 1.1k 1.6× 807 2.0× 196 0.8× 64 0.5× 78 0.7× 3 1.5k
Gao Tu China 13 684 1.0× 381 1.0× 115 0.5× 69 0.5× 48 0.4× 23 997
Guixia Liu China 17 773 1.2× 765 1.9× 123 0.5× 47 0.4× 121 1.0× 22 1.2k
Véronique Stoven France 19 901 1.4× 645 1.6× 133 0.5× 85 0.6× 146 1.2× 41 1.4k
Prajwal P. Nandekar India 17 339 0.5× 174 0.4× 148 0.6× 59 0.5× 86 0.7× 33 690

Countries citing papers authored by Jonathan D. Tyzack

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan D. Tyzack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan D. Tyzack. 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 Jonathan D. Tyzack. The network helps show where Jonathan D. Tyzack may publish in the future.

Co-authorship network of co-authors of Jonathan D. Tyzack

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan D. Tyzack. A scholar is included among the top collaborators of Jonathan D. Tyzack 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 Jonathan D. Tyzack. Jonathan D. Tyzack 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.
Vávra, Ondřej, Jonathan D. Tyzack, Jan Štourač, et al.. (2024). Large-scale annotation of biochemically relevant pockets and tunnels in cognate enzyme–ligand complexes. Journal of Cheminformatics. 16(1). 114–114. 2 indexed citations
2.
Ribeiro, António J. M., et al.. (2023). EzMechanism: an automated tool to propose catalytic mechanisms of enzyme reactions. Nature Methods. 20(10). 1516–1522. 11 indexed citations
3.
Ribeiro, António J. M., et al.. (2022). Using mechanism similarity to understand enzyme evolution. Biophysical Reviews. 14(6). 1273–1280. 4 indexed citations
4.
Tyzack, Jonathan D., Amira M. Embaby, Hesham Saeed, et al.. (2022). Structure-Guided Engineering of a Family IV Cold-Adapted Esterase Expands Its Substrate Range. International Journal of Molecular Sciences. 23(9). 4703–4703. 2 indexed citations
5.
Ribeiro, António J. M., Jonathan D. Tyzack, Neera Borkakoti, Gemma L. Holliday, & Janet M. Thornton. (2019). A global analysis of function and conservation of catalytic residues in enzymes. Journal of Biological Chemistry. 295(2). 314–324. 88 indexed citations
6.
Tyzack, Jonathan D., António J. M. Ribeiro, Neera Borkakoti, & Janet M. Thornton. (2019). Exploring Chemical Biosynthetic Design Space with Transform-MinER. ACS Synthetic Biology. 8(11). 2494–2506. 11 indexed citations
7.
Ribeiro, António J. M., Jonathan D. Tyzack, Neera Borkakoti, & Janet M. Thornton. (2019). Identifying pseudoenzymes using functional annotation: pitfalls of common practice. FEBS Journal. 287(19). 4128–4140. 16 indexed citations
8.
Mukhopadhyay, Abhik, Neera Borkakoti, Lukáš Pravda, et al.. (2019). Finding enzyme cofactors in Protein Data Bank. Bioinformatics. 35(18). 3510–3511. 12 indexed citations
9.
Hunt, Peter, Matthew Segall, & Jonathan D. Tyzack. (2018). WhichP450: a multi-class categorical model to predict the major metabolising CYP450 isoform for a compound. Journal of Computer-Aided Molecular Design. 32(4). 537–546. 56 indexed citations
10.
11.
Tyzack, Jonathan D., et al.. (2018). Ranking Enzyme Structures in the PDB by Bound Ligand Similarity to Biological Substrates. Structure. 26(4). 565–571.e3. 16 indexed citations
12.
Tyzack, Jonathan D., et al.. (2018). Exploring Enzyme Evolution from Changes in Sequence, Structure, and Function. Methods in molecular biology. 1851. 263–275. 9 indexed citations
13.
Tyzack, Jonathan D., et al.. (2017). Understanding enzyme function evolution from a computational perspective. Current Opinion in Structural Biology. 47. 131–139. 33 indexed citations
14.
Ribeiro, António J. M., et al.. (2017). Mechanism and Catalytic Site Atlas (M-CSA): a database of enzyme reaction mechanisms and active sites. Nucleic Acids Research. 46(D1). D618–D623. 153 indexed citations
15.
Tyzack, Jonathan D., Peter Hunt, & Matthew Segall. (2016). Predicting Regioselectivity and Lability of Cytochrome P450 Metabolism Using Quantum Mechanical Simulations. Journal of Chemical Information and Modeling. 56(11). 2180–2193. 35 indexed citations
16.
Tyzack, Jonathan D., Hamse Y. Mussa, Mark J. Williamson, Johannes Kirchmair, & Robert C. Glen. (2014). Cytochrome P450 site of metabolism prediction from 2D topological fingerprints using GPU accelerated probabilistic classifiers. Journal of Cheminformatics. 6(1). 29–29. 22 indexed citations
17.
Tyzack, Jonathan D. & Robert C. Glen. (2014). Investigating and Predicting how Biology Changes Molecules and Their Properties. Molecular Informatics. 33(6-7). 443–445. 4 indexed citations
18.
Mussa, Hamse Y., Jonathan D. Tyzack, & Robert C. Glen. (2013). Note on the Rademacher-Walsh Polynomial Basis Functions. Journal of Mathematics Research. 5(1). 2 indexed citations
19.
Tyzack, Jonathan D., Mark J. Williamson, Rubben Torella, & Robert C. Glen. (2013). Prediction of Cytochrome P450 Xenobiotic Metabolism: Tethered Docking and Reactivity Derived from Ligand Molecular Orbital Analysis. Journal of Chemical Information and Modeling. 53(6). 1294–1305. 33 indexed citations
20.
Kirchmair, Johannes, Mark J. Williamson, Jonathan D. Tyzack, et al.. (2012). Computational Prediction of Metabolism: Sites, Products, SAR, P450 Enzyme Dynamics, and Mechanisms. Journal of Chemical Information and Modeling. 52(3). 617–648. 217 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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