J.A. Hewitt
Impact in
- Cell Biology top 5%
- Hemoglobin structure and function
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Heme Oxygenase-1 and Carbon Monoxide 2
-
- Hemoglobin structure and function 4
- Co-authors
- John V. Kilmartin (3 shared papers)John F. Wootton (1 shared paper)Anthony Coates (3 shared papers)Juraj Iványi (1 shared paper)D.A. Mitchison (1 shared paper)B.W. Allen (1 shared paper)M. V. Nermut (1 shared paper)Richard N. Perham (1 shared paper)
- Journals
- Journal of General Virology (3 papers)Journal of Theoretical Biology (3 papers)FEBS Letters (2 papers)Journal of Molecular Biology (2 papers)Microbiology (1 paper)
- Partner nations
- United KingdomTanzaniaUnited States
In The Last Decade
J.A. Hewitt
18 papers receiving 570 citations
Peers
Comparison fields: 5 of 83
- Cell Biology 239
- Infectious Diseases 111
- Pediatrics, Perinatology and Child Health 96
- Genetics 54
- Microbiology 33
Countries citing papers authored by J.A. Hewitt
This map shows the geographic impact of J.A. Hewitt'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 J.A. Hewitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.A. Hewitt more than expected).
Fields of papers citing papers by J.A. Hewitt
This network shows the impact of papers produced by J.A. Hewitt. 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 J.A. Hewitt. The network helps show where J.A. Hewitt may publish in the future.
Co-authors
The 22 scholars most cited alongside J.A. Hewitt, 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 | 1981 | 139 | |
| 2 | 1975 | 103 | |
| 3 | 1975 | 101 | |
| 4 | 1972 | 53 | |
| 5 | 1972 | 46 | |
| 6 | 1983 | 45 | |
| 7 | 1977 | 38 | |
| 8 | 1983 | 29 | |
| 9 | 1979 | 25 | |
| 10 | 1973 | 17 | |
| 11 | 1975 | 15 | |
| 12 | 1982 | 12 | |
| 13 | 1977 | 12 | |
| 14 | 1977 | 11 | |
| 15 | 1985 | 10 | |
| 16 | 1978 | 6 | |
| 17 | 1983 | 4 | |
| 18 | 1978 | 1 | |
| 19 | Mono clonal antibodies against tubercle bacilli | 1982 | 0 |
About J.A. Hewitt
J.A. Hewitt is a scholar working on Molecular Biology, Cell Biology, Ecology, Epidemiology and Genetics, having authored 19 papers that have together received 667 indexed citations. Recurring topics across this work include Hemoglobin structure and function (4 papers), Bacteriophages and microbial interactions (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Virology and Viral Diseases (2 papers), Neonatal Health and Biochemistry (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Cell Biology (239 citations), Infectious Diseases (111 citations), Pediatrics, Perinatology and Child Health (96 citations), Genetics (54 citations) and Microbiology (33 citations). J.A. Hewitt has collaborated with scholars based in United Kingdom, Tanzania and United States. Frequent co-authors include John V. Kilmartin, John F. Wootton, Anthony Coates, Juraj Iványi, D.A. Mitchison, B.W. Allen, M. V. Nermut, Richard N. Perham, J. T. Armstrong and M. F. Perutz. Their work appears in journals such as Journal of General Virology, Journal of Theoretical Biology, FEBS Letters, Journal of Molecular Biology and Microbiology.
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.