M.A. Higgins
Impact in
- Biotechnology top 5%
- Enzyme Production and Characterization
- Microbiology top 10%
Papers in
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- Glycosylation and Glycoproteins Research 14
-
- Carbohydrate Chemistry and Synthesis 12
- Co-authors
- A.B. Boraston (13 shared papers)Katherine S. Ryan (8 shared papers)Yi‐Ling Du (4 shared papers)Haiyan He (1 shared paper)A. Lammerts van Bueren (3 shared papers)Robert D. Burke (3 shared papers)B. Pluvinage (4 shared papers)D. Wade Abbott (3 shared papers)
- Journals
- Journal of the American Chemical Society (3 papers)Journal of Molecular Biology (3 papers)Nature Chemical Biology (2 papers)ACS Chemical Biology (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
M.A. Higgins
29 papers receiving 806 citations
Peers
Comparison fields: 5 of 86
- Biotechnology 125
- Microbiology 50
- Organic Chemistry 215
- Molecular Biology 484
- Endocrinology 28
Countries citing papers authored by M.A. Higgins
This map shows the geographic impact of M.A. Higgins'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 M.A. Higgins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.A. Higgins more than expected).
Fields of papers citing papers by M.A. Higgins
This network shows the impact of papers produced by M.A. Higgins. 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 M.A. Higgins. The network helps show where M.A. Higgins may publish in the future.
Co-authors
The 25 scholars most cited alongside M.A. Higgins, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 129 | |
| 2 | 2014 | 103 | |
| 3 | 2006 | 73 | |
| 4 | 2010 | 60 | |
| 5 | 2014 | 54 | |
| 6 | 2015 | 53 | |
| 7 | 2011 | 42 | |
| 8 | 1995 | 41 | |
| 9 | 2011 | 38 | |
| 10 | 2009 | 36 | |
| 11 | 2011 | 25 | |
| 12 | 2009 | 22 | |
| 13 | 2013 | 18 | |
| 14 | 2017 | 17 | |
| 15 | 2015 | 17 | |
| 16 | 2006 | 14 | |
| 17 | 2025 | 9 | |
| 18 | 2020 | 9 | |
| 19 | 2019 | 9 | |
| 20 | 2014 | 8 |
About M.A. Higgins
M.A. Higgins is a scholar working on Molecular Biology, Organic Chemistry, Epidemiology, Plant Science and Materials Chemistry, having authored 31 papers that have together received 816 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (14 papers), Carbohydrate Chemistry and Synthesis (12 papers), Pneumonia and Respiratory Infections (8 papers), Enzyme Structure and Function (4 papers), Streptococcal Infections and Treatments (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Enzyme Production and Characterization (3 papers) and Microbial Natural Products and Biosynthesis (3 papers). The work is most often cited by research in Biotechnology (125 citations), Microbiology (50 citations), Organic Chemistry (215 citations), Molecular Biology (484 citations) and Endocrinology (28 citations). M.A. Higgins has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include A.B. Boraston, Katherine S. Ryan, Yi‐Ling Du, Haiyan He, A. Lammerts van Bueren, Robert D. Burke, B. Pluvinage, D. Wade Abbott, James C. Paton and Diana Wang. Their work appears in journals such as Journal of the American Chemical Society, Journal of Molecular Biology, Nature Chemical Biology, ACS Chemical Biology and Journal of Biological Chemistry.
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.