William C. Barrett
Impact in
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
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- Redox biology and oxidative stress
- Protein Structure and Dynamics
- Protein Tyrosine Phosphatases
- Microbial Metabolic Engineering and Bioproduction
Papers in
-
- Glycosylation and Glycoproteins Research 1
- Metabolomics and Mass Spectrometry Studies 1
- Redox biology and oxidative stress 1
-
- Enzyme Structure and Function 2
- Co-authors
- Jon P. DeGnore (2 shared papers)P Boon Chock (2 shared papers)Moon B. Yim (1 shared paper)George L. Kenyon (2 shared papers)Dagmar Ringe (2 shared papers)J.A. Gerlt (2 shared papers)Patricia C. Babbitt (2 shared papers)Miriam S. Hasson (2 shared papers)
- Journals
- Rapid Communications in Mass Spectrometry (1 paper)Proceedings of the National Academy of Sciences (1 paper)Biochemistry (1 paper)Journal of Biological Chemistry (1 paper)Journal of General Virology (1 paper)
- Partner nations
- United StatesItalySlovakia
In The Last Decade
William C. Barrett
5 papers receiving 637 citations
Peers
Comparison fields: 5 of 82
- Biochemistry 106
- Molecular Biology 508
- Virology 22
- Immunology 98
- Materials Chemistry 164
Countries citing papers authored by William C. Barrett
This map shows the geographic impact of William C. Barrett'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 William C. Barrett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William C. Barrett more than expected).
Fields of papers citing papers by William C. Barrett
This network shows the impact of papers produced by William C. Barrett. 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 William C. Barrett. The network helps show where William C. Barrett may publish in the future.
Co-authors
The 19 scholars most cited alongside William C. Barrett, 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 | 1999 | 298 | |
| 2 | 1996 | 256 | |
| 3 | 1998 | 64 | |
| 4 | 1994 | 28 | |
| 5 | 1998 | 14 |
About William C. Barrett
William C. Barrett is a scholar working on Molecular Biology, Materials Chemistry, Infectious Diseases, Virology and Computational Theory and Mathematics, having authored 5 papers that have together received 660 indexed citations. Recurring topics across this work include Enzyme Structure and Function (2 papers), HIV/AIDS drug development and treatment (1 paper), Glycosylation and Glycoproteins Research (1 paper), Computational Drug Discovery Methods (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Hemoglobin structure and function (1 paper), Redox biology and oxidative stress (1 paper) and Alkaline Phosphatase Research Studies (1 paper). The work is most often cited by research in Biochemistry (106 citations), Molecular Biology (508 citations), Virology (22 citations), Immunology (98 citations) and Materials Chemistry (164 citations). William C. Barrett has collaborated with scholars based in United States, Italy and Slovakia. Frequent co-authors include Jon P. DeGnore, P Boon Chock, Moon B. Yim, George L. Kenyon, Dagmar Ringe, J.A. Gerlt, Patricia C. Babbitt, Miriam S. Hasson, Joseph E. Wedekind and George H. Reed. Their work appears in journals such as Rapid Communications in Mass Spectrometry, Proceedings of the National Academy of Sciences, Biochemistry, Journal of Biological Chemistry and Journal of General Virology.
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.