Tom A. Young

1.3k total citations
22 papers, 835 citations indexed

About

Tom A. Young is a scholar working on Organic Chemistry, Inorganic Chemistry and Materials Chemistry. According to data from OpenAlex, Tom A. Young has authored 22 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Organic Chemistry, 9 papers in Inorganic Chemistry and 6 papers in Materials Chemistry. Recurrent topics in Tom A. Young's work include Catalytic C–H Functionalization Methods (7 papers), Machine Learning in Materials Science (5 papers) and Asymmetric Hydrogenation and Catalysis (5 papers). Tom A. Young is often cited by papers focused on Catalytic C–H Functionalization Methods (7 papers), Machine Learning in Materials Science (5 papers) and Asymmetric Hydrogenation and Catalysis (5 papers). Tom A. Young collaborates with scholars based in United Kingdom, United States and Russia. Tom A. Young's co-authors include Fernanda Duarte, Paul J. Lusby, John F. Bower, Jianzhu Wang, Vicente Martí‐Centelles, Alistair J. Sterling, Natalie Fey, Xiaofeng Ma, Roly J. Armstrong and Wasim M. Akhtar and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and ACS Catalysis.

In The Last Decade

Tom A. Young

22 papers receiving 824 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom A. Young United Kingdom 15 573 265 257 161 105 22 835
Weiqun Zhou China 18 587 1.0× 210 0.8× 213 0.8× 162 1.0× 144 1.4× 51 976
Anna Tomberg Canada 11 275 0.5× 108 0.4× 443 1.7× 185 1.1× 47 0.4× 20 787
Ying Wei China 21 673 1.2× 186 0.7× 360 1.4× 101 0.6× 58 0.6× 73 1.1k
Cheng‐Wei Ju China 20 795 1.4× 88 0.3× 499 1.9× 273 1.7× 94 0.9× 38 1.3k
Juan V. Alegre‐Requena Spain 21 859 1.5× 244 0.9× 128 0.5× 159 1.0× 71 0.7× 53 1.1k
François Gilardoni Switzerland 16 348 0.6× 229 0.9× 343 1.3× 245 1.5× 60 0.6× 23 943
Maria Cristina Misuraca United Kingdom 12 569 1.0× 213 0.8× 283 1.1× 169 1.0× 247 2.4× 13 790
Sarah J. Pike United Kingdom 16 349 0.6× 136 0.5× 158 0.6× 249 1.5× 186 1.8× 25 684
C. Daniel Varnado United States 10 456 0.8× 91 0.3× 92 0.4× 120 0.7× 96 0.9× 11 666
Tongxiang Lu United States 13 386 0.7× 132 0.5× 127 0.5× 120 0.7× 100 1.0× 21 608

Countries citing papers authored by Tom A. Young

Since Specialization
Citations

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

Fields of papers citing papers by Tom A. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom A. Young. 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 Tom A. Young. The network helps show where Tom A. Young may publish in the future.

Co-authorship network of co-authors of Tom A. Young

This figure shows the co-authorship network connecting the top 25 collaborators of Tom A. Young. A scholar is included among the top collaborators of Tom A. Young 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 Tom A. Young. Tom A. Young 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.
Young, Tom A., et al.. (2022). Reaction dynamics of Diels–Alder reactions from machine learned potentials. Physical Chemistry Chemical Physics. 24(35). 20820–20827. 35 indexed citations
2.
Pringle, Paul G., et al.. (2022). Heterometathesis of diphosphanes (R2P–PR2) with dichalcogenides (R′E–ER′, E = O, S, Se, Te). Dalton Transactions. 51(22). 8906–8913. 2 indexed citations
3.
Young, Tom A., et al.. (2021). A transferable active-learning strategy for reactive molecular force fields. Chemical Science. 12(32). 10944–10955. 59 indexed citations
4.
Young, Tom A., et al.. (2021). Radical-initiated P,P-metathesis reactions of diphosphanes: evidence from experimental and computational studies. Dalton Transactions. 50(20). 7094–7104. 12 indexed citations
5.
Young, Tom A., et al.. (2020). autodE: Automated Calculation of Reaction Energy Profiles— Application to Organic and Organometallic Reactions. Angewandte Chemie International Edition. 60(8). 4266–4274. 80 indexed citations
6.
Young, Tom A., et al.. (2020). cgbind : A Python Module and Web App for Automated Metallocage Construction and Host–Guest Characterization. Journal of Chemical Information and Modeling. 60(7). 3546–3557. 35 indexed citations
7.
Wang, Jianzhu, Tom A. Young, Fernanda Duarte, & Paul J. Lusby. (2020). Synergistic Noncovalent Catalysis Facilitates Base-Free Michael Addition. Journal of the American Chemical Society. 142(41). 17743–17750. 75 indexed citations
8.
Young, Tom A., et al.. (2020). autodE: Automated Calculation of Reaction Energy Profiles— Application to Organic and Organometallic Reactions. Angewandte Chemie. 133(8). 4312–4320. 12 indexed citations
9.
Wang, Gang‐Wei, et al.. (2020). Carbonylative C–C Bond Activation of Aminocyclopropanes Using a Temporary Directing Group Strategy. Journal of the American Chemical Society. 142(45). 19006–19011. 26 indexed citations
10.
Wang, Gang‐Wei, et al.. (2020). Rhodacyclopentanones as Linchpins for the Atom Economical Assembly of Diverse Polyheterocycles. Journal of the American Chemical Society. 142(4). 1740–1745. 30 indexed citations
11.
Στέργιου, Α., et al.. (2020). Host–Guest-Induced Electron Transfer Triggers Radical-Cation Catalysis. Journal of the American Chemical Society. 142(5). 2134–2139. 89 indexed citations
12.
Armstrong, Roly J., Wasim M. Akhtar, Tom A. Young, Fernanda Duarte, & Timothy J. Donohoe. (2019). Catalytic Asymmetric Synthesis of Cyclohexanes by Hydrogen Borrowing Annulations. Angewandte Chemie International Edition. 58(36). 12558–12562. 57 indexed citations
13.
Armstrong, Roly J., Wasim M. Akhtar, Tom A. Young, Fernanda Duarte, & Timothy J. Donohoe. (2019). Catalytic Asymmetric Synthesis of Cyclohexanes by Hydrogen Borrowing Annulations. Angewandte Chemie. 131(36). 12688–12692. 26 indexed citations
14.
Young, Tom A., et al.. (2018). Stereospecific Alkene Aziridination Using a Bifunctional Amino-Reagent: An Aza-Prilezhaev Reaction. Journal of the American Chemical Society. 140(51). 17846–17850. 41 indexed citations
15.
Fey, Natalie, et al.. (2018). Inorganic Triphenylphosphine. Angewandte Chemie International Edition. 57(48). 15802–15806. 8 indexed citations
16.
Fey, Natalie, et al.. (2018). Inorganic Triphenylphosphine. Angewandte Chemie. 130(48). 16028–16032. 2 indexed citations
17.
Ma, Xiaofeng, et al.. (2017). A Simple and Broadly Applicable C−N Bond Forming Dearomatization Protocol Enabled by Bifunctional Amino Reagents. Angewandte Chemie International Edition. 56(46). 14531–14535. 76 indexed citations
18.
Ma, Xiaofeng, et al.. (2017). A Simple and Broadly Applicable C−N Bond Forming Dearomatization Protocol Enabled by Bifunctional Amino Reagents. Angewandte Chemie. 129(46). 14723–14727. 20 indexed citations
19.
Young, Tom A. & Nick Milton. (2011). Knowledge Management for Sales and Marketing. Chandos Publishing eBooks. 3 indexed citations
20.
Young, Tom A.. (2008). Knowledge Management for Services, Operations and Manufacturing. Chandos Publishing eBooks. 2 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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