N. Shaw
Impact in
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
- Microbiology top 5%
Papers in
-
- Glycosylation and Glycoproteins Research 11
- Genomics and Phylogenetic Studies 5
- Microbial Metabolic Engineering and Bioproduction 4
- Metabolomics and Mass Spectrometry Studies 4
-
- Carbohydrate Chemistry and Synthesis 11
- Co-authors
- J. Baddiley (10 shared papers)D. E. Brundish (7 shared papers)Iain C. Sutcliffe (3 shared papers)Paul F. Smith (3 shared papers)D. Stead (2 shared papers)H.M. Verheij (2 shared papers)A.H. Stead (2 shared papers)David R. Bundle (1 shared paper)
- Journals
- Journal of Bacteriology (3 papers)Systematic and Applied Microbiology (2 papers)Biochemical Society Transactions (2 papers)FEBS Letters (1 paper)Biochemical Journal (1 paper)
- Partner nations
- United KingdomNetherlandsSouth Africa
In The Last Decade
N. Shaw
37 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 101
- Biochemistry 139
- Microbiology 109
- Microbiology 13
- Molecular Biology 847
- Clinical Biochemistry 78
Countries citing papers authored by N. Shaw
This map shows the geographic impact of N. Shaw'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 N. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Shaw more than expected).
Fields of papers citing papers by N. Shaw
This network shows the impact of papers produced by N. Shaw. 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 N. Shaw. The network helps show where N. Shaw may publish in the future.
Co-authors
The 18 scholars most cited alongside N. Shaw, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1974 | 240 | |
| 2 | 1968 | 149 | |
| 3 | 1995 | 91 | |
| 4 | 1970 | 75 | |
| 5 | 1968 | 74 | |
| 6 | 1991 | 71 | |
| 7 | 1970 | 53 | |
| 8 | 1966 | 49 | |
| 9 | 1968 | 48 | |
| 10 | 1965 | 46 | |
| 11 | 1971 | 41 | |
| 12 | 1982 | 37 | |
| 13 | 1972 | 35 | |
| 14 | 1967 | 33 | |
| 15 | 1967 | 29 | |
| 16 | 1965 | 27 | |
| 17 | 1964 | 25 | |
| 18 | 1968 | 24 | |
| 19 | 1970 | 22 | |
| 20 | 1974 | 19 |
About N. Shaw
N. Shaw is a scholar working on Molecular Biology, Organic Chemistry, Nutrition and Dietetics, Biotechnology and Food Science, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (11 papers), Carbohydrate Chemistry and Synthesis (11 papers), Probiotics and Fermented Foods (7 papers), Genomics and Phylogenetic Studies (5 papers), Enzyme Production and Characterization (5 papers), Microbial Metabolites in Food Biotechnology (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). The work is most often cited by research in Biochemistry (139 citations), Microbiology (109 citations), Microbiology (13 citations), Molecular Biology (847 citations) and Clinical Biochemistry (78 citations). N. Shaw has collaborated with scholars based in United Kingdom, Netherlands and South Africa. Frequent co-authors include J. Baddiley, D. E. Brundish, Iain C. Sutcliffe, Paul F. Smith, D. Stead, H.M. Verheij, A.H. Stead, David R. Bundle, K. I. Welsh and P.J. Botes. Their work appears in journals such as Journal of Bacteriology, Systematic and Applied Microbiology, Biochemical Society Transactions, FEBS Letters and Biochemical Journal.
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.