W.J. Cook
Impact in
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways
- Biochemical and Molecular Research
- Glycosylation and Glycoproteins Research
- Protein Structure and Dynamics
- Physiology top 5%
Papers in
-
- Biochemical and Molecular Research 13
- Glycosylation and Glycoproteins Research 8
- Ubiquitin and proteasome pathways 7
-
- Enzyme Structure and Function 11
- Co-authors
- Charles E. Bugg (14 shared papers)S.E. Ealick (15 shared papers)Leigh C. Jeffrey (5 shared papers)Senadhi Vijay‐Kumar (4 shared papers)Cecile M. Pickart (3 shared papers)Michael A. Carson (2 shared papers)Mark R. Walter (4 shared papers)Paul P. Trotta (3 shared papers)
- Journals
- Journal of Biological Chemistry (17 papers)Journal of Molecular Biology (3 papers)Macromolecules (2 papers)Biochemistry (2 papers)Inorganic Chemistry (2 papers)
- Partner nations
- United StatesUnited KingdomMyanmar
In The Last Decade
W.J. Cook
42 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.6k
- Physiology 105
- Oncology 472
- Immunology 348
- Cell Biology 193
Countries citing papers authored by W.J. Cook
This map shows the geographic impact of W.J. Cook'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 W.J. Cook with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W.J. Cook more than expected).
Fields of papers citing papers by W.J. Cook
This network shows the impact of papers produced by W.J. Cook. 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 W.J. Cook. The network helps show where W.J. Cook may publish in the future.
Co-authors
The 25 scholars most cited alongside W.J. Cook, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 358 | |
| 2 | 1992 | 171 | |
| 3 | 1992 | 168 | |
| 4 | 1990 | 163 | |
| 5 | 1994 | 130 | |
| 6 | 1987 | 122 | |
| 7 | 1985 | 116 | |
| 8 | 1992 | 115 | |
| 9 | 1994 | 104 | |
| 10 | 1998 | 104 | |
| 11 | 1990 | 90 | |
| 12 | 1992 | 81 | |
| 13 | 1990 | 78 | |
| 14 | 2004 | 68 | |
| 15 | 1972 | 64 | |
| 16 | 1974 | 37 | |
| 17 | 1991 | 30 | |
| 18 | 1974 | 29 | |
| 19 | 1976 | 26 | |
| 20 | 1990 | 21 |
About W.J. Cook
W.J. Cook is a scholar working on Molecular Biology, Materials Chemistry, Oncology, Nutrition and Dietetics and Biotechnology, having authored 43 papers that have together received 2.3k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (13 papers), Enzyme Structure and Function (11 papers), Glycosylation and Glycoproteins Research (8 papers), Ubiquitin and proteasome pathways (7 papers), Cancer Research and Treatments (3 papers), Peptidase Inhibition and Analysis (3 papers), Microbial Metabolites in Food Biotechnology (3 papers) and Flame retardant materials and properties (3 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Physiology (105 citations), Oncology (472 citations), Immunology (348 citations) and Cell Biology (193 citations). W.J. Cook has collaborated with scholars based in United States, United Kingdom and Myanmar. Frequent co-authors include Charles E. Bugg, S.E. Ealick, Leigh C. Jeffrey, Senadhi Vijay‐Kumar, Cecile M. Pickart, Michael A. Carson, Mark R. Walter, Paul P. Trotta, T. L. NAGABHUSHAN and Keith D. Wilkinson. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology, Macromolecules, Biochemistry and Inorganic 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.