Jonathan M. Percy

2.7k total citations
118 papers, 2.1k citations indexed

About

Jonathan M. Percy is a scholar working on Organic Chemistry, Pharmaceutical Science and Molecular Biology. According to data from OpenAlex, Jonathan M. Percy has authored 118 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Organic Chemistry, 77 papers in Pharmaceutical Science and 34 papers in Molecular Biology. Recurrent topics in Jonathan M. Percy's work include Fluorine in Organic Chemistry (76 papers), Synthetic Organic Chemistry Methods (29 papers) and Chemical Synthesis and Analysis (27 papers). Jonathan M. Percy is often cited by papers focused on Fluorine in Organic Chemistry (76 papers), Synthetic Organic Chemistry Methods (29 papers) and Chemical Synthesis and Analysis (27 papers). Jonathan M. Percy collaborates with scholars based in United Kingdom, United States and Poland. Jonathan M. Percy's co-authors include David J. Nelson, Robin D. Wilkes, Mark A. Vincent, Ian H. Hillier, Ian W. Ashworth, Thierry Lequeux, Kevin Blades, Anthony J. Kirby, Patrick Crowley and Stéphane Pintat and has published in prestigious journals such as Journal of the American Chemical Society, Analytical Chemistry and Chemical Communications.

In The Last Decade

Jonathan M. Percy

115 papers receiving 2.0k 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 M. Percy United Kingdom 27 1.9k 1.0k 622 224 80 118 2.1k
Joseph P. A. Harrity United Kingdom 36 3.3k 1.8× 291 0.3× 649 1.0× 265 1.2× 40 0.5× 118 3.5k
Antonio Simón‐Fuentes Spain 21 2.4k 1.3× 669 0.7× 495 0.8× 243 1.1× 18 0.2× 41 2.6k
Yuji Hanzawa Japan 30 2.7k 1.5× 485 0.5× 426 0.7× 593 2.6× 26 0.3× 132 2.9k
Hikaru Yanai Japan 22 1.2k 0.6× 471 0.5× 167 0.3× 167 0.7× 41 0.5× 88 1.4k
Otohiko Tsuge Japan 25 2.9k 1.6× 385 0.4× 565 0.9× 192 0.9× 46 0.6× 319 3.1k
Igor D. Jurberg Brazil 28 3.8k 2.0× 551 0.5× 261 0.4× 291 1.3× 21 0.3× 48 4.0k
Javier Adrio Spain 35 4.2k 2.3× 331 0.3× 565 0.9× 901 4.0× 94 1.2× 81 4.5k
Eddie L. Myers United Kingdom 26 2.6k 1.4× 195 0.2× 357 0.6× 382 1.7× 37 0.5× 39 2.8k
Zhaoqing Xu China 38 3.6k 1.9× 755 0.7× 519 0.8× 585 2.6× 17 0.2× 95 3.9k
Ryan A. Altman United States 27 2.5k 1.3× 878 0.9× 418 0.7× 641 2.9× 18 0.2× 65 2.9k

Countries citing papers authored by Jonathan M. Percy

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan M. Percy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan M. Percy

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan M. Percy. A scholar is included among the top collaborators of Jonathan M. Percy 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 M. Percy. Jonathan M. Percy 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.
Miah, Afjal H., et al.. (2017). Identification of pyrazolopyrimidine arylsulfonamides as CC-chemokine receptor 4 (CCR4) antagonists. Bioorganic & Medicinal Chemistry. 25(20). 5327–5340. 8 indexed citations
2.
Shukla, Lena, Laura Ajram, Malcolm Begg, et al.. (2016). 2,8-Diazaspiro[4.5]decan-8-yl)pyrimidin-4-amine potent CCR4 antagonists capable of inducing receptor endocytosis. European Journal of Medicinal Chemistry. 115. 14–25. 6 indexed citations
3.
Percy, Jonathan M., et al.. (2015). Developing the Saegusa–Ito Cyclisation for the Synthesis of Difluorinated Cyclohexenones. Chemistry - A European Journal. 21(52). 19119–19127. 4 indexed citations
4.
5.
Miah, Afjal H., et al.. (2014). Lead identification of benzimidazolone and azabenzimidazolone arylsulfonamides as CC-chemokine receptor 4 (CCR4) antagonists. Bioorganic & Medicinal Chemistry. 22(15). 4298–4311. 7 indexed citations
6.
Miah, Afjal H., et al.. (2014). Lead identification and structure–activity relationships of heteroarylpyrazole arylsulfonamides as allosteric CC-chemokine receptor 4 (CCR4) antagonists. Organic & Biomolecular Chemistry. 12(11). 1779–1779. 12 indexed citations
7.
Mondal, Bhaskar, et al.. (2013). Towards a quantitative understanding of palladium metal scavenger performance: an electronic structure calculation approach. Dalton Transactions. 43(2). 469–478. 7 indexed citations
8.
Percy, Jonathan M., et al.. (2013). Single‐Step Microwave‐Mediated Synthesis of Oxazoles and Thiazoles from 3‐Oxetanone: A Synthetic and Computational Study. Chemistry - A European Journal. 19(29). 9655–9662. 11 indexed citations
9.
Parkinson, John A., et al.. (2013). Multigramme synthesis and asymmetric dihydroxylation of a 4-fluorobut-2E-enoate. Beilstein Journal of Organic Chemistry. 9. 2660–2668. 1 indexed citations
10.
Ashworth, Ian W., David J. Nelson, & Jonathan M. Percy. (2012). Solvent effects on Grubbs’ pre-catalyst initiation rates. Dalton Transactions. 42(12). 4110–4113. 24 indexed citations
11.
Nelson, David J., Ian W. Ashworth, Ian H. Hillier, et al.. (2011). Why is RCM Favoured Over Dimerisation? Predicting and Estimating Thermodynamic Effective Molarities by Solution Experiments and Electronic Structure Calculations. Chemistry - A European Journal. 17(46). 13087–13094. 19 indexed citations
12.
Hillier, Ian H., S. Pandian, Jonathan M. Percy, & Mark A. Vincent. (2010). Mapping the potential energy surfaces for ring-closing metathesis reactions of prototypical dienes by electronic structure calculations. Dalton Transactions. 40(5). 1061–1072. 25 indexed citations
13.
Field, Robert A., et al.. (2009). Developing an asymmetric, stereodivergent route to selected 6-deoxy-6-fluoro-hexoses. Organic & Biomolecular Chemistry. 7(5). 996–996. 11 indexed citations
14.
Griffith, Gerry A., et al.. (2005). Towards novel difluorinated sugar mimetics; syntheses and conformational analyses of highly-functionalised difluorinated cyclooctenones. Organic & Biomolecular Chemistry. 3(15). 2701–2701. 15 indexed citations
15.
Crowley, Patrick, et al.. (2005). Highly-functionalised difluorinated cyclohexane polyols via the Diels–Alder reaction: regiochemical control via the phenylsulfonyl group. Organic & Biomolecular Chemistry. 3(18). 3297–3297. 11 indexed citations
16.
Percy, Jonathan M.. (2004). Geminally-difluorinated pharmaceutical agents : synthesis and applications. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 3 indexed citations
17.
18.
Hursthouse, Michael B., et al.. (2003). Syntheses of selectively fluorinated cyclodecenones: the first deployment of the neutral oxy-Cope rearrangement in organofluorine chemistry. Organic & Biomolecular Chemistry. 1(24). 4423–4423. 7 indexed citations
19.
Kariuki, Benson M., W. Martin Owton, Jonathan M. Percy, et al.. (2002). Rapid assembly of highly-functionalised difluorinated cyclooctenones via ring-closing metathesis. Chemical Communications. 228–229. 16 indexed citations
20.

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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