Michael Coen

568 total citations
9 papers, 354 citations indexed

About

Michael Coen is a scholar working on Molecular Biology, Infectious Diseases and Biomedical Engineering. According to data from OpenAlex, Michael Coen has authored 9 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Biomedical Engineering. Recurrent topics in Michael Coen's work include Antifungal resistance and susceptibility (2 papers), Fungal and yeast genetics research (2 papers) and Cancer therapeutics and mechanisms (1 paper). Michael Coen is often cited by papers focused on Antifungal resistance and susceptibility (2 papers), Fungal and yeast genetics research (2 papers) and Cancer therapeutics and mechanisms (1 paper). Michael Coen collaborates with scholars based in United States, Sweden and India. Michael Coen's co-authors include Robert C. Goldman, Aparna V. Sarthy, Jonathan A. Meulbroek, Thomas McGonigal, David J. Frost, Kenneth M. Comess, Martin J. Voorbach, John O. Capobianco, Andrew M. Petros and Dorothy Zakula and has published in prestigious journals such as Analytical Biochemistry, Biochemical and Biophysical Research Communications and Journal of Medicinal Chemistry.

In The Last Decade

Michael Coen

9 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Coen United States 7 225 87 61 56 43 9 354
Anja Hoffmann Germany 14 143 0.6× 83 1.0× 115 1.9× 46 0.8× 35 0.8× 24 398
B. R. Srinivasa India 12 359 1.6× 63 0.7× 31 0.5× 115 2.1× 41 1.0× 23 512
Liza de Castro Canada 8 252 1.1× 78 0.9× 43 0.7× 37 0.7× 23 0.5× 8 448
Annette Kaiser Germany 14 378 1.7× 43 0.5× 50 0.8× 94 1.7× 62 1.4× 43 564
Ravi Kant Rajpoot India 9 266 1.2× 80 0.9× 20 0.3× 49 0.9× 25 0.6× 11 527
Mohd Akif India 15 326 1.4× 103 1.2× 49 0.8× 52 0.9× 12 0.3× 27 502
Emilio Lence Spain 14 252 1.1× 49 0.6× 36 0.6× 145 2.6× 19 0.4× 47 480
Kathy Johns Canada 6 415 1.8× 54 0.6× 83 1.4× 120 2.1× 49 1.1× 7 795
Thibault Tubiana France 8 208 0.9× 84 1.0× 21 0.3× 33 0.6× 18 0.4× 19 362
Celia C. H. Chen United States 10 240 1.1× 39 0.4× 45 0.7× 31 0.6× 19 0.4× 13 430

Countries citing papers authored by Michael Coen

Since Specialization
Citations

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

Fields of papers citing papers by Michael Coen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Coen

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

All Works

9 of 9 papers shown
1.
Coen, Michael, et al.. (2014). Miniaturization of Multiplexed Planar Recombinant Antibody Arrays for Serum Protein Profiling. Bioanalysis. 6(9). 1175–1185. 6 indexed citations
2.
Cohen, Mark E., et al.. (2007). Statistical modeling of dental unit water bacterial test kit performance.. PubMed. 18(2). 39–44. 3 indexed citations
3.
Comess, Kenneth M., Chang Park, Zehan Chen, et al.. (2006). Kinase Drug Discovery by Affinity Selection/Mass Spectrometry (ASMS): Application to DNA Damage Checkpoint Kinase Chk1. SLAS DISCOVERY. 11(7). 755–764. 24 indexed citations
4.
Comess, Kenneth M., Mark E. Schurdak, Martin J. Voorbach, et al.. (2006). An Ultraefficient Affinity-Based High-Throughout Screening Process: Application to Bacterial Cell Wall Biosynthesis Enzyme MurF. SLAS DISCOVERY. 11(7). 743–754. 54 indexed citations
5.
Qian, Jie, Martin J. Voorbach, Jeffrey R. Huth, et al.. (2004). Discovery of novel inhibitors of Bcl-xL using multiple high-throughput screening platforms. Analytical Biochemistry. 328(2). 131–138. 56 indexed citations
6.
Hajduk, Philip J., Jürgen Dinges, Jeffrey M. Schkeryantz, et al.. (1999). Novel Inhibitors of Erm Methyltransferases from NMR and Parallel Synthesis. Journal of Medicinal Chemistry. 42(19). 3852–3859. 80 indexed citations
7.
Sarthy, Aparna V., Thomas McGonigal, Michael Coen, et al.. (1997). Phenotype in Candida albicans of a disruption of the BGL2 gene encoding a 1,3-β-glucosyltransferase. Microbiology. 143(2). 367–376. 86 indexed citations
8.
Coen, Michael, Claude G. Lerner, John O. Capobianco, & Robert C. Goldman. (1994). Synthesis of yeast cell wall glucan and evidence for glucan metabolism in a Saccharomyces cerevisiae whole cell system. Microbiology. 140(9). 2229–2237. 11 indexed citations
9.
Capobianco, John O., Dorothy Zakula, Michael Coen, & Robert C. Goldman. (1993). Anti-Candida Activity of Cispentacin: The Active Transport by Amino Acid Permeases and Possible Mechanisms of Action. Biochemical and Biophysical Research Communications. 190(3). 1037–1044. 34 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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