Jonathan D. Vessey

796 total citations
34 papers, 567 citations indexed

About

Jonathan D. Vessey is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Jonathan D. Vessey has authored 34 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 11 papers in Organic Chemistry and 8 papers in Molecular Biology. Recurrent topics in Jonathan D. Vessey's work include Computational Drug Discovery Methods (13 papers), Organometallic Complex Synthesis and Catalysis (7 papers) and Analytical Chemistry and Chromatography (6 papers). Jonathan D. Vessey is often cited by papers focused on Computational Drug Discovery Methods (13 papers), Organometallic Complex Synthesis and Catalysis (7 papers) and Analytical Chemistry and Chromatography (6 papers). Jonathan D. Vessey collaborates with scholars based in United Kingdom, United States and Switzerland. Jonathan D. Vessey's co-authors include Philip N. Judson, Bernard L. Shaw, Thierry Hanser, Carol A. Marchant, Mark Thornton‐Pett, Anthony D. Long, Valerie J. Gillet, Chris Barber, Sarath D. Perera and S. A. Stalford and has published in prestigious journals such as Toxicology, Journal of Organometallic Chemistry and Journal of Chemical Information and Modeling.

In The Last Decade

Jonathan D. Vessey

33 papers receiving 465 citations

Peers

Jonathan D. Vessey

CTM

SPECT

Catrin Hasselgren United States

Arwa Bin Raies Saudi Arabia

Congying Xu China

Kevin P. Cross United States

Orest T. Macina United States

Qian Xie United States

Wolfgang Muster Switzerland

Timothy J. Carlson United States

Domenico Gadaleta Italy

Tomasz Magdziarz Poland

Catrin Hasselgren United States

Jonathan D. Vessey

201 ×0.8

CTM

160 ×1.1

89 ×0.8

90 ×1.2

45 ×0.7

SPECT

Citations per year, relative to Jonathan D. Vessey Jonathan D. Vessey (= 1×) peers Catrin Hasselgren

Countries citing papers authored by Jonathan D. Vessey

Since Specialization

Citations

This map shows the geographic impact of Jonathan D. Vessey'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. Vessey 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. Vessey more than expected).

Fields of papers citing papers by Jonathan D. Vessey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan D. Vessey. A scholar is included among the top collaborators of Jonathan D. Vessey 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. Vessey. Jonathan D. Vessey 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

Kane, Steven, David J. Ponting, Edward Rosser, et al.. (2024). Developing and validating read-across workflows that enable decision making for toxicity and potency: Case studies with N-nitrosamines. Computational Toxicology. 29. 100300–100300. 3 indexed citations

Ball, Thomas, Chris Barber, Robert S. Foster, et al.. (2020). Beyond adverse outcome pathways: making toxicity predictions from event networks, SAR models, data and knowledge. Toxicology Research. 10(1). 102–122. 10 indexed citations

Marchant, Carol A., Edward Rosser, & Jonathan D. Vessey. (2016). A k‐Nearest Neighbours Approach Using Metabolism‐related Fingerprints to Improve In Silico Metabolite Ranking. Molecular Informatics. 36(3). 10 indexed citations

Barber, Chris, Alexander Amberg, Laura Custer, et al.. (2015). Establishing best practise in the application of expert review of mutagenicity under ICH M7. Regulatory Toxicology and Pharmacology. 73(1). 367–377. 51 indexed citations

Barber, Chris, Thierry Hanser, Jonathan D. Vessey, et al.. (2015). Evaluation of a statistics-based Ames mutagenicity QSAR model and interpretation of the results obtained. Regulatory Toxicology and Pharmacology. 76. 7–20. 35 indexed citations

Neagu, Daniel, et al.. (2015). Using random forest and decision tree models for a new vehicle prediction approach in computational toxicology. Soft Computing. 20(8). 2967–2979. 32 indexed citations

Hanser, Thierry, et al.. (2014). Self organising hypothesis networks: a new approach for representing and structuring SAR knowledge. Journal of Cheminformatics. 6(1). 21–21. 34 indexed citations

Hanser, Thierry, et al.. (2014). Feature combination networks for the interpretation of statistical machine learning models: application to Ames mutagenicity. Journal of Cheminformatics. 6(1). 8–8. 28 indexed citations

Judson, Philip N., et al.. (2014). Emerging Pattern Mining To Aid Toxicological Knowledge Discovery. Journal of Chemical Information and Modeling. 54(7). 1864–1879. 23 indexed citations

10.

Coquin, Laurence, Steven J. Canipa, Lilia Fisk, et al.. (2014). New structural alerts for Ames mutagenicity discovered using emerging pattern mining techniques. Toxicology Research. 4(1). 46–56. 5 indexed citations

11.

Gillet, Valerie J., et al.. (2013). Toxicological knowledge discovery by mining emerging patterns from toxicity data. Journal of Cheminformatics. 5(S1). 7 indexed citations

12.

Judson, Philip N., S. A. Stalford, & Jonathan D. Vessey. (2012). Assessing confidence in predictions made by knowledge-based systems. Toxicology Research. 2(1). 70–79. 31 indexed citations

13.

Judson, Philip N., Paul Cooke, Nancy G. Doerrer, et al.. (2005). Towards the creation of an international toxicology information centre. Toxicology. 213(1-2). 117–128. 37 indexed citations

14.

Judson, Philip N., Carol A. Marchant, & Jonathan D. Vessey. (2003). Using Argumentation for Absolute Reasoning about the Potential Toxicity of Chemicals. Journal of Chemical Information and Computer Sciences. 43(5). 1364–1370. 41 indexed citations

15.

Vessey, Jonathan D.. (1998). The Principle of Prevention in International Law. 3(1). 181–207. 1 indexed citations

16.

Cooke, Paul, Sarath D. Perera, Bernard L. Shaw, Mark Thornton‐Pett, & Jonathan D. Vessey. (1997). Complexes of gold, silver and copper with Z,Z-PPh2CH2CBut N–NC(But)CH2PPh2 containing a nine-membered chelate ring: crystal structure of [AuCl{Z,Z-PPh2CH2CBut N–NC(But) CH2PPh2}]. Journal of the Chemical Society Dalton Transactions. 435–438. 13 indexed citations

17.

Shaw, Bernard L., Mark Thornton‐Pett, & Jonathan D. Vessey. (1995). Palladium complexes of azines, α-diazines and α-2-pyridylazines containing (1R)-(+)-camphor or (1R)-(–)-fenchone groups. Journal of the Chemical Society Dalton Transactions. 1697–1707. 10 indexed citations

18.

Helliwell, Madeleine, Jonathan D. Vessey, & Roger J. Mawby. (1994). Alkene complexes of ruthenium(0): crystal structures, isomerism and fluxionality. Journal of the Chemical Society Dalton Transactions. 1193–1193. 11 indexed citations

19.

Perera, Sarath D., Bernard L. Shaw, Mark Thornton‐Pett, & Jonathan D. Vessey. (1993). Crystal structure, and variable temperature proton and carbon-13 NMR spectra of the 9-membered ring complex [Cr(CO)4{E,Z-PPh2CH2C(tBu)NNC(tBu)CH2PPh2}]. Journal of Organometallic Chemistry. 462(1-2). 221–224. 9 indexed citations

20.

Perera, Sarath D., Bernard L. Shaw, Mark Thornton‐Pett, & Jonathan D. Vessey. (1992). The synthesis of endo-3-diphenylphosphino-(1R)-(+)-camphor (L) and some of its complexes with palladium(II), platinum(II) and rhodium(I); crystal structures of L and cis-[PdCl2L2]. Inorganica Chimica Acta. 198-200. 149–158. 8 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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