Fred E. Cohen

627 total citations
11 papers, 520 citations indexed

About

Fred E. Cohen is a scholar working on Molecular Biology, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Fred E. Cohen has authored 11 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Organic Chemistry. Recurrent topics in Fred E. Cohen's work include Trypanosoma species research and implications (3 papers), Computational Drug Discovery Methods (3 papers) and Chemical Synthesis and Analysis (2 papers). Fred E. Cohen is often cited by papers focused on Trypanosoma species research and implications (3 papers), Computational Drug Discovery Methods (3 papers) and Chemical Synthesis and Analysis (2 papers). Fred E. Cohen collaborates with scholars based in United States and South Africa. Fred E. Cohen's co-authors include Roland L. Dunbrack, Philippe Armand, Ken A. Dill, Kent Kirshenbaum, Ronald N. Zuckermann, Paul Bamborough, Xiaowu Chen, George L. Kenyon, Maosheng Cheng and James H. McKerrow and has published in prestigious journals such as Journal of Molecular Biology, Neurology and Gene.

In The Last Decade

Fred E. Cohen

11 papers receiving 505 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fred E. Cohen United States 10 342 142 85 75 55 11 520
Rahul Banerjee India 16 293 0.9× 76 0.5× 57 0.7× 46 0.6× 26 0.5× 44 539
Christine S. Ring United States 8 313 0.9× 71 0.5× 76 0.9× 42 0.6× 88 1.6× 10 525
Christian Günther Germany 13 284 0.8× 215 1.5× 42 0.5× 50 0.7× 15 0.3× 22 698
Chiung-Kuang Chen United States 7 266 0.8× 148 1.0× 138 1.6× 196 2.6× 41 0.7× 7 538
Gabriela Mustata United States 14 351 1.0× 102 0.7× 77 0.9× 82 1.1× 98 1.8× 17 592
Dieter Mueller Switzerland 13 558 1.6× 180 1.3× 86 1.0× 39 0.5× 25 0.5× 19 949
Elliott Nickbarg United States 15 579 1.7× 34 0.2× 77 0.9× 48 0.6× 51 0.9× 19 816
Michael C. Myers United States 17 420 1.2× 443 3.1× 83 1.0× 44 0.6× 43 0.8× 30 991
Jean Dessolin France 16 390 1.1× 287 2.0× 138 1.6× 61 0.8× 23 0.4× 37 902
Gregory T. DeKoster United States 14 358 1.0× 53 0.4× 68 0.8× 67 0.9× 15 0.3× 23 634

Countries citing papers authored by Fred E. Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Fred E. Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fred E. Cohen

This figure shows the co-authorship network connecting the top 25 collaborators of Fred E. Cohen. A scholar is included among the top collaborators of Fred E. 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 Fred E. Cohen. Fred E. Cohen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
May, Barnaby C. H., Cédric Govaerts, & Fred E. Cohen. (2006). Developing therapeutics for the diseases of protein misfolding. Neurology. 66(1_suppl_1). S118–22. 11 indexed citations
2.
Joachimiak, Marcin P., et al.. (2001). The Impact of Whole Genome Sequence Data on Drug Discovery—A Malaria Case Study. Molecular Medicine. 7(10). 698–710. 13 indexed citations
3.
Bogan, Andrew A., Qing Dallas-Yang, Yutaka Maeda, et al.. (2000). Analysis of protein dimerization and ligand binding of orphan receptor HNF4α. Journal of Molecular Biology. 302(4). 831–851. 92 indexed citations
4.
Troeberg, Linda, Xiaowu Chen, Rory E. Morty, et al.. (2000). Chalcone, Acyl Hydrazide, and Related Amides Kill Cultured Trypanosoma brucei brucei. Molecular Medicine. 6(8). 660–669. 52 indexed citations
5.
Byington, Carrie L., Roland L. Dunbrack, Frank G. Whitby, Fred E. Cohen, & Nina Agabian. (1997). Entamoeba histolytica:Computer-Assisted Modeling of Phosphofructokinase for the Prediction of Broad-Spectrum Antiparasitic Agents. Experimental Parasitology. 87(3). 194–202. 13 indexed citations
6.
Selzer, Paul M., Xiaowu Chen, Victor J. Chan, et al.. (1997). Leishmania major:Molecular Modeling of Cysteine Proteases and Prediction of New Nonpeptide Inhibitors. Experimental Parasitology. 87(3). 212–221. 77 indexed citations
7.
Armand, Philippe, Kent Kirshenbaum, Roland L. Dunbrack, et al.. (1997). Chiral N-substituted glycines can form stable helical conformations. PubMed. 2(6). 369–375. 167 indexed citations
8.
Bamborough, Paul & Fred E. Cohen. (1996). Modeling protein—ligand complexes. Current Opinion in Structural Biology. 6(2). 236–241. 38 indexed citations
9.
Byington, Carrie L., Roland L. Dunbrack, Fred E. Cohen, & Nina Agabian. (1996). MOLECULAR MODELING OF PHOSPHOFRUCTOKINASE FROM ENTAMOEBA HISTOLYTICA FOR THE PREDICTION OF NEW ANTIPARASITIC AGENTS. • 992. Pediatric Research. 39. 168–168. 1 indexed citations
10.
Li, Zhe, Xiaowu Chen, Eugene A. Davidson, et al.. (1994). Anti-malarial drug development using models of enzyme structure. Chemistry & Biology. 1(1). 31–37. 39 indexed citations
11.
Sun, Eugene & Fred E. Cohen. (1993). Computer-assisted drug discovery — a review. Gene. 137(1). 127–132. 17 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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