Michael Coen
Impact in
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- Antifungal resistance and susceptibility
Papers in
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- Fungal and yeast genetics research 2
- Machine Learning in Bioinformatics 1
- Biochemical and Structural Characterization 1
- Lipid Membrane Structure and Behavior 1
- Cancer therapeutics and mechanisms 1
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- Antifungal resistance and susceptibility 2
- Co-authors
- Robert C. Goldman (3 shared papers)Thomas McGonigal (1 shared paper)Aparna V. Sarthy (1 shared paper)David J. Frost (1 shared paper)Jonathan A. Meulbroek (1 shared paper)Martin J. Voorbach (3 shared papers)John O. Capobianco (2 shared papers)Kenneth M. Comess (3 shared papers)
- Journals
- SLAS DISCOVERY (2 papers)Microbiology (2 papers)Bioanalysis (1 paper)Analytical Biochemistry (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- United StatesSwedenIndia
In The Last Decade
Michael Coen
9 papers receiving 338 citations
Peers
Comparison fields: 5 of 67
- Infectious Diseases 87
- Molecular Medicine 22
- Molecular Biology 225
- Computational Theory and Mathematics 36
- Spectroscopy 34
Countries citing papers authored by Michael Coen
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
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-authors
The 25 scholars most cited alongside Michael Coen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 86 | |
| 2 | 1999 | 80 | |
| 3 | 2004 | 56 | |
| 4 | 2006 | 54 | |
| 5 | 1993 | 34 | |
| 6 | 2006 | 24 | |
| 7 | 1994 | 11 | |
| 8 | 2014 | 6 | |
| 9 | Statistical modeling of dental unit water bacterial test kit performance. | 2007 | 3 |
About Michael Coen
Michael Coen is a scholar working on Molecular Biology, Infectious Diseases, Biomedical Engineering, Organic Chemistry and Genetics, having authored 9 papers that have together received 354 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (2 papers), Fungal and yeast genetics research (2 papers), Machine Learning in Bioinformatics (1 paper), Biochemical and Structural Characterization (1 paper), Fecal contamination and water quality (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Lipid Membrane Structure and Behavior (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Infectious Diseases (87 citations), Molecular Medicine (22 citations), Molecular Biology (225 citations), Computational Theory and Mathematics (36 citations) and Spectroscopy (34 citations). Michael Coen has collaborated with scholars based in United States, Sweden and India. Frequent co-authors include Robert C. Goldman, Thomas McGonigal, Aparna V. Sarthy, David J. Frost, Jonathan A. Meulbroek, Martin J. Voorbach, John O. Capobianco, Kenneth M. Comess, Andrew M. Petros and Bruce A. Beutel. Their work appears in journals such as SLAS DISCOVERY, Microbiology, Bioanalysis, Analytical Biochemistry and Biochemical and Biophysical Research Communications.
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.