E. Ann MacGregor
Impact in
- Biotechnology top 0.05%
- Enzyme Production and Characterization
- Nutrition and Dietetics top 0.5%
- Microbial Metabolites in Food Biotechnology
- Food composition and properties
Papers in
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- Enzyme Production and Characterization 26
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- Microbial Metabolites in Food Biotechnology 13
- Co-authors
- Birte Svensson (14 shared papers)Ŝtefan Janeĉek (9 shared papers)Hans M. Jespersen (4 shared papers)Michael R. Sierks (3 shared papers)Bernard Henrissat (1 shared paper)Geoffrey B. Fincher (1 shared paper)Peter Biely (1 shared paper)Mária Hrmová (1 shared paper)
In The Last Decade
E. Ann MacGregor
30 papers receiving 2.5k citations
E. Ann MacGregor's Hit Papers
Peers
Comparison fields: 5 of 102
- Biotechnology 2.1k
- Nutrition and Dietetics 1.0k
- Plant Science 1.1k
- Molecular Biology 1.1k
- Periodontics 59
Countries citing papers authored by E. Ann MacGregor
This map shows the geographic impact of E. Ann MacGregor'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 E. Ann MacGregor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Ann MacGregor more than expected).
Fields of papers citing papers by E. Ann MacGregor
This network shows the impact of papers produced by E. Ann MacGregor. 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 E. Ann MacGregor. The network helps show where E. Ann MacGregor may publish in the future.
Co-authors
The 19 scholars most cited alongside E. Ann MacGregor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Relationship of sequence and structure to specificity in the α-amylase family of enzymes Hit paper breakdown → | 2001 | 563 |
| 2 | 2013 | 305 | |
| 3 | 1993 | 211 | |
| 4 | 1991 | 173 | |
| 5 | 1989 | 164 | |
| 6 | 1996 | 126 | |
| 7 | 2011 | 115 | |
| 8 | 1988 | 114 | |
| 9 | 2003 | 106 | |
| 10 | 2019 | 104 | |
| 11 | 1989 | 95 | |
| 12 | 1998 | 80 | |
| 13 | 2005 | 59 | |
| 14 | 1993 | 56 | |
| 15 | 1992 | 45 | |
| 16 | 1994 | 43 | |
| 17 | 2007 | 38 | |
| 18 | 2003 | 33 | |
| 19 | 1971 | 32 | |
| 20 | 1985 | 29 |
About E. Ann MacGregor
E. Ann MacGregor is a scholar working on Biotechnology, Nutrition and Dietetics, Molecular Biology, Plant Science and Biomedical Engineering, having authored 30 papers that have together received 2.6k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (26 papers), Microbial Metabolites in Food Biotechnology (13 papers), Phytase and its Applications (8 papers), Biofuel production and bioconversion (4 papers), Enzyme Catalysis and Immobilization (3 papers), Enzyme Structure and Function (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Biotechnology (2.1k citations), Nutrition and Dietetics (1.0k citations), Plant Science (1.1k citations), Molecular Biology (1.1k citations) and Periodontics (59 citations). E. Ann MacGregor has collaborated with scholars based in Canada, Denmark and Slovakia. Frequent co-authors include Birte Svensson, Ŝtefan Janeĉek, Hans M. Jespersen, Michael R. Sierks, Bernard Henrissat, Geoffrey B. Fincher, Peter Biely, Mária Hrmová, Richard J. Stewart and J. M. Bowness. Their work appears in journals such as Biochemical Journal, Carbohydrate Research, FEBS Letters, Journal of Cereal Science and Food Hydrocolloids.
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.