Tim Cernak

5.4k total citations · 3 hit papers
45 papers, 4.1k citations indexed

About

Tim Cernak is a scholar working on Organic Chemistry, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Tim Cernak has authored 45 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Organic Chemistry, 16 papers in Molecular Biology and 14 papers in Computational Theory and Mathematics. Recurrent topics in Tim Cernak's work include Computational Drug Discovery Methods (14 papers), Chemical Synthesis and Analysis (12 papers) and Catalytic C–H Functionalization Methods (11 papers). Tim Cernak is often cited by papers focused on Computational Drug Discovery Methods (14 papers), Chemical Synthesis and Analysis (12 papers) and Catalytic C–H Functionalization Methods (11 papers). Tim Cernak collaborates with scholars based in United States, Germany and China. Tim Cernak's co-authors include Heike Schönherr, Shane W. Krska, Petr Váchal, Kevin D. Dykstra, Sriram Tyagarajan, Yuning Shen, Babak Mahjour, Spencer D. Dreher, Christopher J. Welch and Ian W. Davies and has published in prestigious journals such as Nature, Science and Journal of the American Chemical Society.

In The Last Decade

Tim Cernak

40 papers receiving 4.0k citations

Hit Papers

The medicinal chemist's toolbox for late stage functional... 2013 2026 2017 2021 2015 2013 2014 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Cernak United States 21 2.6k 989 736 601 582 45 4.1k
Louis‐Charles Campeau United States 28 4.8k 1.9× 763 0.8× 795 1.1× 433 0.7× 436 0.7× 59 5.8k
Petr Váchal United States 23 3.9k 1.5× 1.0k 1.1× 982 1.3× 520 0.9× 352 0.6× 34 4.8k
Michael Shevlin United States 23 1.9k 0.7× 673 0.7× 1.2k 1.7× 983 1.6× 470 0.8× 38 3.4k
Paul Richardson United States 28 1.9k 0.7× 1.1k 1.1× 442 0.6× 448 0.7× 402 0.7× 114 3.1k
Spencer D. Dreher United States 34 4.0k 1.5× 1.1k 1.1× 845 1.1× 999 1.7× 1.4k 2.3× 56 6.0k
Ian W. Davies United States 48 5.6k 2.1× 1.4k 1.4× 1.5k 2.0× 885 1.5× 696 1.2× 146 7.5k
Jacob M. Janey United States 21 1.9k 0.7× 1.6k 1.6× 572 0.8× 602 1.0× 697 1.2× 42 3.6k
Martin D. Eastgate United States 39 5.8k 2.2× 1.1k 1.1× 1.2k 1.6× 261 0.4× 360 0.6× 107 6.8k
Shane W. Krska United States 40 5.4k 2.1× 1.3k 1.3× 2.1k 2.8× 848 1.4× 466 0.8× 101 6.8k
Kerry Gilmore Germany 30 3.0k 1.1× 1.1k 1.1× 510 0.7× 2.1k 3.5× 641 1.1× 52 4.9k

Countries citing papers authored by Tim Cernak

Since Specialization
Citations

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

Fields of papers citing papers by Tim Cernak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Cernak. 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 Tim Cernak. The network helps show where Tim Cernak may publish in the future.

Co-authorship network of co-authors of Tim Cernak

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Cernak. A scholar is included among the top collaborators of Tim Cernak 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 Tim Cernak. Tim Cernak 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
3.
Zhang, Rui, Babak Mahjour, Tim Hopper, et al.. (2024). Exploring the combinatorial explosion of amine–acid reaction space via graph editing. Communications Chemistry. 7(1). 22–22. 6 indexed citations
4.
Tsai, Chun‐Yi, et al.. (2024). Medicinal Chemistry Gone Wild. Journal of Medicinal Chemistry. 67(9). 6899–6905. 1 indexed citations
5.
Sun, Duxin, Christian Macedonia, Zhigang Chen, et al.. (2024). Can Machine Learning Overcome the 95% Failure Rate and Reality that Only 30% of Approved Cancer Drugs Meaningfully Extend Patient Survival?. Journal of Medicinal Chemistry. 67(18). 16035–16055. 3 indexed citations
6.
Pflüger, Philipp M., Lukas Lückemeier, Fuhao Zhang, et al.. (2024). Late-Stage Saturation of Drug Molecules. Journal of the American Chemical Society. 146(17). 11866–11875. 30 indexed citations
7.
Huang, Haiyan, et al.. (2024). Catalyst: Systems chemistry links reactions to molecular function. Chem. 10(8). 2333–2336. 2 indexed citations
8.
Gesmundo, Nathan J., Kevin D. Dykstra, James L. Douthwaite, et al.. (2023). Miniaturization of popular reactions from the medicinal chemists’ toolbox for ultrahigh-throughput experimentation. Nature Synthesis. 2(11). 1082–1091. 25 indexed citations
9.
Mahjour, Babak, Rui Zhang, Yuning Shen, et al.. (2023). Rapid planning and analysis of high-throughput experiment arrays for reaction discovery. Nature Communications. 14(1). 3924–3924. 43 indexed citations
10.
Mahjour, Babak, et al.. (2023). Molecular sonification for molecule to music information transfer. Digital Discovery. 2(2). 520–530. 8 indexed citations
11.
Shen, Yuning, Babak Mahjour, & Tim Cernak. (2022). Development of copper-catalyzed deaminative esterification using high-throughput experimentation. Communications Chemistry. 5(1). 83–83. 10 indexed citations
12.
Gaunt, Matthew J., Jacob M. Janey, Danielle M. Schultz, & Tim Cernak. (2021). Myths of high-throughput experimentation and automation in chemistry. Chem. 7(9). 2259–2260. 10 indexed citations
13.
Lin, Yingfu, Babak Mahjour, Di Wang, et al.. (2021). Reinforcing the supply chain of umifenovir and other antiviral drugs with retrosynthetic software. Nature Communications. 12(1). 7327–7327. 18 indexed citations
14.
Mahjour, Babak, Yuning Shen, Wenbo Liu, & Tim Cernak. (2020). A map of the amine–carboxylic acid coupling system. Nature. 580(7801). 71–75. 82 indexed citations
15.
Uehling, Mycah R., Ryan P. King, Shane W. Krska, Tim Cernak, & Stephen L. Buchwald. (2019). Pharmaceutical diversification via palladium oxidative addition complexes. Science. 363(6425). 405–408. 145 indexed citations
16.
Lin, Shishi, Sergei Dikler, R. D. Ferguson, et al.. (2018). Mapping the dark space of chemical reactions with extended nanomole synthesis and MALDI-TOF MS. Science. 361(6402). 145 indexed citations
17.
Gesmundo, Nathan J., Bérengère Sauvagnat, Patrick J. Curran, et al.. (2018). Nanoscale synthesis and affinity ranking. Nature. 557(7704). 228–232. 150 indexed citations
18.
Cernak, Tim. (2016). Synthesis in the Chemical Space Age. Chem. 1(1). 6–9. 10 indexed citations
19.
Santanilla, A. Buitrago, Erik L. Regalado, Tony Pereira, et al.. (2014). Nanomole-scale high-throughput chemistry for the synthesis of complex molecules. Science. 347(6217). 49–53. 470 indexed citations breakdown →
20.
Schönherr, Heike & Tim Cernak. (2013). Profound Methyl Effects in Drug Discovery and a Call for New CH Methylation Reactions. Angewandte Chemie International Edition. 52(47). 12256–12267. 863 indexed citations breakdown →

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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