Michael W. Rey
Impact in
- Biotechnology top 0.5%
- Enzyme Production and Characterization
- Microbial Metabolism and Applications
- Endocrinology top 5%
Papers in
-
- Fungal and yeast genetics research 5
- Glycosylation and Glycoproteins Research 2
-
- Enzyme Production and Characterization 7
- Co-authors
- Randy M. Berka (7 shared papers)Herbert L. Heyneker (3 shared papers)Kimberly M. Brown (3 shared papers)Lori J. Wilson (3 shared papers)William E. Holmes (2 shared papers)Elizabeth J. Golightly (2 shared papers)Katherine H. Kodama (2 shared papers)Frank Pieper (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Molecular Microbiology (2 papers)Nature Biotechnology (2 papers)Applied and Environmental Microbiology (2 papers)Biochemical Society Transactions (1 paper)
- Partner nations
- United StatesDenmarkAustria
In The Last Decade
Michael W. Rey
17 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 94
- Biotechnology 542
- Endocrinology 72
- Plant Science 501
- Molecular Biology 755
- Hematology 104
Countries citing papers authored by Michael W. Rey
This map shows the geographic impact of Michael W. Rey'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 W. Rey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael W. Rey more than expected).
Fields of papers citing papers by Michael W. Rey
This network shows the impact of papers produced by Michael W. Rey. 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 W. Rey. The network helps show where Michael W. Rey may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael W. Rey, 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 | 1996 | 274 | |
| 2 | 1985 | 184 | |
| 3 | 2009 | 143 | |
| 4 | 1983 | 125 | |
| 5 | 1990 | 121 | |
| 6 | 1984 | 118 | |
| 7 | 1990 | 116 | |
| 8 | 1987 | 109 | |
| 9 | 1998 | 88 | |
| 10 | 1986 | 60 | |
| 11 | 1993 | 46 | |
| 12 | 1992 | 30 | |
| 13 | 1991 | 25 | |
| 14 | 1981 | 15 | |
| 15 | 1992 | 12 | |
| 16 | 2003 | 12 | |
| 17 | 2014 | 8 |
About Michael W. Rey
Michael W. Rey is a scholar working on Molecular Biology, Biotechnology, Plant Science, Biomedical Engineering and Cell Biology, having authored 17 papers that have together received 1.5k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (7 papers), Fungal and yeast genetics research (5 papers), Biofuel production and bioconversion (4 papers), Glycosylation and Glycoproteins Research (2 papers), Plant Disease Resistance and Genetics (2 papers), Polysaccharides and Plant Cell Walls (2 papers), Enzyme-mediated dye degradation (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Biotechnology (542 citations), Endocrinology (72 citations), Plant Science (501 citations), Molecular Biology (755 citations) and Hematology (104 citations). Michael W. Rey has collaborated with scholars based in United States, Denmark and Austria. Frequent co-authors include Randy M. Berka, Herbert L. Heyneker, Kimberly M. Brown, Lori J. Wilson, William E. Holmes, Elizabeth J. Golightly, Katherine H. Kodama, Frank Pieper, Michael P. Ward and Torben Halkier. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Microbiology, Nature Biotechnology, Applied and Environmental Microbiology and Biochemical Society Transactions.
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.