Elizabeth Work
Impact in
- Microbiology top 2%
- Biochemistry top 2%
- Amino Acid Enzymes and Metabolism
Papers in
-
- Biochemical and Molecular Research 6
- Porphyrin Metabolism and Disorders 4
- Glycosylation and Glycoproteins Research 3
-
- Amino Acid Enzymes and Metabolism 6
- Co-authors
- D. S. Hoare (7 shared papers)Maret Vesk (2 shared papers)K. W. Knox (2 shared papers)Lionel E. Rhuland (1 shared paper)D. L. Dewey (2 shared papers)J Janda (1 shared paper)O. Lindan (4 shared papers)P. M. MEADOW (5 shared papers)
- Journals
- Nature (3 papers)Methods in enzymology on CD-ROM/Methods in enzymology (3 papers)Methods in microbiology (2 papers)Journal of Bacteriology (2 papers)Journal of the American Chemical Society (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Elizabeth Work
39 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 116
- Microbiology 41
- Biochemistry 279
- Microbiology 211
- Endocrinology 129
- Biotechnology 218
Countries citing papers authored by Elizabeth Work
This map shows the geographic impact of Elizabeth Work'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 Elizabeth Work with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth Work more than expected).
Fields of papers citing papers by Elizabeth Work
This network shows the impact of papers produced by Elizabeth Work. 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 Elizabeth Work. The network helps show where Elizabeth Work may publish in the future.
Co-authors
The 12 scholars most cited alongside Elizabeth Work, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1955 | 421 | |
| 2 | 1953 | 280 | |
| 3 | 1966 | 243 | |
| 4 | 1957 | 149 | |
| 5 | 1957 | 133 | |
| 6 | 1966 | 118 | |
| 7 | 1957 | 111 | |
| 8 | 1971 | 110 | |
| 9 | 1952 | 98 | |
| 10 | 1951 | 92 | |
| 11 | 1957 | 81 | |
| 12 | 1968 | 74 | |
| 13 | 1955 | 59 | |
| 14 | 1954 | 55 | |
| 15 | 1957 | 54 | |
| 16 | 1951 | 50 | |
| 17 | 1964 | 49 | |
| 18 | 1953 | 41 | |
| 19 | 1953 | 33 | |
| 20 | 1969 | 29 |
About Elizabeth Work
Elizabeth Work is a scholar working on Molecular Biology, Biochemistry, Materials Chemistry, Organic Chemistry and Clinical Biochemistry, having authored 40 papers that have together received 2.5k indexed citations. Recurring topics across this work include Enzyme Structure and Function (6 papers), Biochemical and Molecular Research (6 papers), Amino Acid Enzymes and Metabolism (6 papers), Carbohydrate Chemistry and Synthesis (4 papers), Metabolism and Genetic Disorders (4 papers), Porphyrin Metabolism and Disorders (4 papers), Enzyme Production and Characterization (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Microbiology (41 citations), Biochemistry (279 citations), Microbiology (211 citations), Endocrinology (129 citations) and Biotechnology (218 citations). Elizabeth Work has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include D. S. Hoare, Maret Vesk, K. W. Knox, Lionel E. Rhuland, D. L. Dewey, J Janda, O. Lindan, P. M. MEADOW, Philip J. White and Milton Winitz. Their work appears in journals such as Nature, Methods in enzymology on CD-ROM/Methods in enzymology, Methods in microbiology, Journal of Bacteriology and Journal of the American Chemical Society.
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.