Daniel T. Cohen

2.2k total citations
20 papers, 1.4k citations indexed

About

Daniel T. Cohen is a scholar working on Organic Chemistry, Molecular Biology and Oncology. According to data from OpenAlex, Daniel T. Cohen has authored 20 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Organic Chemistry, 10 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Daniel T. Cohen's work include N-Heterocyclic Carbenes in Organic and Inorganic Chemistry (8 papers), Synthetic Organic Chemistry Methods (8 papers) and Cell death mechanisms and regulation (5 papers). Daniel T. Cohen is often cited by papers focused on N-Heterocyclic Carbenes in Organic and Inorganic Chemistry (8 papers), Synthetic Organic Chemistry Methods (8 papers) and Cell death mechanisms and regulation (5 papers). Daniel T. Cohen collaborates with scholars based in United States. Daniel T. Cohen's co-authors include Karl A. Scheidt, Thomas B. H. Schroeder, Julien Dugal‐Tessier, Elizabeth A. O’Bryan, Stephen L. Buchwald, Eric M. Phillips, Chad C. Eichman, John R. Engen, Thomas E. Wales and Loren D. Walensky and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Molecular Cell.

In The Last Decade

Daniel T. Cohen

20 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel T. Cohen United States 16 1.2k 298 185 55 38 20 1.4k
Laura M. Levy Germany 13 1.4k 1.1× 288 1.0× 212 1.1× 40 0.7× 55 1.4× 26 1.6k
Rohan E. J. Beckwith United States 8 1.6k 1.3× 259 0.9× 240 1.3× 54 1.0× 66 1.7× 13 1.9k
Kevin C. Fortner United States 8 600 0.5× 231 0.8× 176 1.0× 35 0.6× 30 0.8× 8 880
Ghotas Evindar Canada 15 1.3k 1.0× 598 2.0× 101 0.5× 54 1.0× 22 0.6× 23 1.6k
Mathias Frederiksen United States 11 1.0k 0.9× 186 0.6× 318 1.7× 36 0.7× 31 0.8× 19 1.2k
Joey L. Methot United States 12 1.0k 0.9× 367 1.2× 312 1.7× 90 1.6× 46 1.2× 17 1.2k
Johann Chan United States 13 917 0.8× 152 0.5× 167 0.9× 20 0.4× 39 1.0× 19 996
Andrew Madin United Kingdom 18 815 0.7× 435 1.5× 193 1.0× 45 0.8× 34 0.9× 35 1.1k
Cheol K. Chung United States 18 792 0.7× 293 1.0× 123 0.7× 26 0.5× 44 1.2× 36 1.0k

Countries citing papers authored by Daniel T. Cohen

Since Specialization
Citations

This map shows the geographic impact of Daniel T. Cohen'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 Daniel T. Cohen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Cohen more than expected).

Fields of papers citing papers by Daniel T. Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel T. Cohen. 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 Daniel T. Cohen. The network helps show where Daniel T. Cohen may publish in the future.

Co-authorship network of co-authors of Daniel T. Cohen

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel T. Cohen. A scholar is included among the top collaborators of Daniel T. Cohen 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 Daniel T. Cohen. Daniel T. Cohen 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.
Cohen, Daniel T., T.J. Rettenmaier, Utsarga Adhikary, et al.. (2024). Covalent inhibition of pro-apoptotic BAX. Nature Chemical Biology. 20(8). 1022–1032. 15 indexed citations
2.
Cohen, Daniel T., et al.. (2020). Site-Dependent Cysteine Lipidation Potentiates the Activation of Proapoptotic BAX. Cell Reports. 30(10). 3229–3239.e6. 15 indexed citations
3.
Wales, Thomas E., Julian Mintseris, Devin K. Schweppe, et al.. (2020). Homogeneous Oligomers of Pro-apoptotic BAX Reveal Structural Determinants of Mitochondrial Membrane Permeabilization. Molecular Cell. 79(1). 68–83.e7. 36 indexed citations
4.
Cohen, Daniel T., T.J. Rettenmaier, Susan Lee, et al.. (2020). Identification of a Covalent Molecular Inhibitor of Anti-apoptotic BFL-1 by Disulfide Tethering. Cell chemical biology. 27(6). 647–656.e6. 25 indexed citations
5.
Cohen, Daniel T., Chi Zhang, Colin M. Fadzen, et al.. (2018). A chemoselective strategy for late-stage functionalization of complex small molecules with polypeptides and proteins. Nature Chemistry. 11(1). 78–85. 81 indexed citations
6.
Dunkelmann, Daniel L., Yuuki Hirata, Daniel T. Cohen, et al.. (2018). Amide-forming chemical ligation via O -acyl hydroxamic acids. Proceedings of the National Academy of Sciences. 115(15). 3752–3757. 19 indexed citations
7.
Wachter, Franziska, Susan Lee, James Luccarelli, et al.. (2017). Allosteric sensitization of proapoptotic BAX. Nature Chemical Biology. 13(9). 961–967. 34 indexed citations
8.
Hovey, M. Todd, Daniel T. Cohen, Daniel M. Walden, Paul Ha‐Yeon Cheong, & Karl A. Scheidt. (2017). A Carbene Catalysis Strategy for the Synthesis of Protoilludane Natural Products. Angewandte Chemie. 129(33). 9996–9999. 10 indexed citations
9.
Wang, Michael H., Daniel T. Cohen, Matthias Riedrich, et al.. (2017). Catalytic, Enantioselective β-Protonation through a Cooperative Activation Strategy. The Journal of Organic Chemistry. 82(9). 4689–4702. 27 indexed citations
10.
Hovey, M. Todd, Daniel T. Cohen, Daniel M. Walden, Paul Ha‐Yeon Cheong, & Karl A. Scheidt. (2017). A Carbene Catalysis Strategy for the Synthesis of Protoilludane Natural Products. Angewandte Chemie International Edition. 56(33). 9864–9867. 29 indexed citations
11.
Lee, Susan, Thomas E. Wales, Silvia Escudero, et al.. (2016). Allosteric inhibition of antiapoptotic MCL-1. Nature Structural & Molecular Biology. 23(6). 600–607. 50 indexed citations
12.
Cohen, Daniel T. & Stephen L. Buchwald. (2015). Mild Palladium-Catalyzed Cyanation of (Hetero)aryl Halides and Triflates in Aqueous Media. Organic Letters. 17(2). 202–205. 112 indexed citations
13.
Cohen, Daniel T., Chi Zhang, Bradley L. Pentelute, & Stephen L. Buchwald. (2015). ChemInform Abstract: An Umpolung Approach for the Chemoselective Arylation of Selenocysteine in Unprotected Peptides.. ChemInform. 46(51). 1 indexed citations
14.
Wilson, Stephen C., et al.. (2014). A neutral pH thermal hydrolysis method for quantification of structured RNAs. RNA. 20(7). 1153–1160. 25 indexed citations
16.
Cohen, Daniel T., et al.. (2012). Catalytic Dynamic Kinetic Resolutions with N‐Heterocyclic Carbenes: Asymmetric Synthesis of Highly Substituted β‐Lactones. Angewandte Chemie International Edition. 51(29). 7309–7313. 98 indexed citations
17.
Dugal‐Tessier, Julien, Elizabeth A. O’Bryan, Thomas B. H. Schroeder, Daniel T. Cohen, & Karl A. Scheidt. (2012). An NHeterocyclic Carbene/Lewis Acid Strategy for the Stereoselective Synthesis of Spirooxindole Lactones. Angewandte Chemie International Edition. 51(20). 4963–4967. 249 indexed citations
18.
Cohen, Daniel T., et al.. (2012). Catalytic Dynamic Kinetic Resolutions with N‐Heterocyclic Carbenes: Asymmetric Synthesis of Highly Substituted β‐Lactones. Angewandte Chemie. 124(29). 7421–7425. 44 indexed citations
19.
Dugal‐Tessier, Julien, Elizabeth A. O’Bryan, Thomas B. H. Schroeder, Daniel T. Cohen, & Karl A. Scheidt. (2012). An NHeterocyclic Carbene/Lewis Acid Strategy for the Stereoselective Synthesis of Spirooxindole Lactones. Angewandte Chemie. 124(20). 5047–5051. 99 indexed citations
20.
Cohen, Daniel T. & Karl A. Scheidt. (2011). Cooperative Lewis acid/N-heterocyclic carbene catalysis. Chemical Science. 3(1). 53–57. 440 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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