Jonathan D. Tyzack
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
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- Computational Drug Discovery Methods
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 10
- Enzyme Catalysis and Immobilization 7
- Protein Structure and Dynamics 6
- Metabolomics and Mass Spectrometry Studies 3
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- Computational Drug Discovery Methods 12
- Co-authors
- Johannes Kirchmair (4 shared papers)Janet M. Thornton (15 shared papers)António J. M. Ribeiro (9 shared papers)Robert C. Glen (6 shared papers)Mark J. Williamson (4 shared papers)Gemma L. Holliday (2 shared papers)Neera Borkakoti (9 shared papers)Nicholas Furnham (3 shared papers)
- Journals
- Journal of Chemical Information and Modeling (4 papers)Bioinformatics (3 papers)Nucleic Acids Research (2 papers)FEBS Journal (2 papers)Journal of Cheminformatics (2 papers)
- Partner nations
- United KingdomBrazilDenmark
In The Last Decade
Jonathan D. Tyzack
26 papers receiving 989 citations
Peers
Comparison fields: 5 of 97
- Pharmacology 232
- Computational Theory and Mathematics 370
- Molecular Biology 623
- Spectroscopy 119
- Pharmacology 51
Countries citing papers authored by Jonathan D. Tyzack
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
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-authors
The 25 scholars most cited alongside Jonathan D. Tyzack, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 221 | |
| 2 | 2017 | 161 | |
| 3 | 2018 | 148 | |
| 4 | 2019 | 96 | |
| 5 | 2018 | 59 | |
| 6 | 2013 | 39 | |
| 7 | 2016 | 38 | |
| 8 | 2013 | 33 | |
| 9 | 2017 | 33 | |
| 10 | 2014 | 22 | |
| 11 | 2020 | 20 | |
| 12 | 2019 | 16 | |
| 13 | 2018 | 16 | |
| 14 | 2019 | 13 | |
| 15 | 2022 | 12 | |
| 16 | 2018 | 12 | |
| 17 | 2023 | 11 | |
| 18 | 2018 | 11 | |
| 19 | 2019 | 11 | |
| 20 | 2018 | 9 |
About Jonathan D. Tyzack
Jonathan D. Tyzack is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Spectroscopy and Materials Chemistry, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Microbial Metabolic Engineering and Bioproduction (10 papers), Enzyme Catalysis and Immobilization (7 papers), Pharmacogenetics and Drug Metabolism (6 papers), Protein Structure and Dynamics (6 papers), Analytical Chemistry and Chromatography (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Pharmacology (232 citations), Computational Theory and Mathematics (370 citations), Molecular Biology (623 citations), Spectroscopy (119 citations) and Pharmacology (51 citations). Jonathan D. Tyzack has collaborated with scholars based in United Kingdom, Brazil and Denmark. Frequent 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 Peter Hunt. Their work appears in journals such as Journal of Chemical Information and Modeling, Bioinformatics, Nucleic Acids Research, FEBS Journal and Journal of Cheminformatics.
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.