S. Hewitt
Impact in
- Hematology top 2%
- Blood groups and transfusion
- Platelet Disorders and Treatments
- Physiology top 5%
- Erythrocyte Function and Pathophysiology
Papers in
- Hematology 16
- Blood groups and transfusion 15
- Platelet Disorders and Treatments 3
- Physiology 11
- Erythrocyte Function and Pathophysiology 10
- Co-authors
- Robert J. Sokol (13 shared papers)Barbara K. Stamps (6 shared papers)D.J. Booker (8 shared papers)R. Stamps (4 shared papers)H. H. Gunson (1 shared paper)Ronald J. Sokol (2 shared papers)K. Forman (1 shared paper)J. R. Booth (1 shared paper)
- Journals
- Acta Haematologica (4 papers)Journal of Clinical Pathology (3 papers)Vox Sanguinis (2 papers)Transfusion (1 paper)British Journal of Anaesthesia (1 paper)
- Partner nations
- NigeriaUnited KingdomAustralia
In The Last Decade
S. Hewitt
23 papers receiving 675 citations
Peers
Comparison fields: 5 of 57
- Hematology 620
- Physiology 465
- Genetics 119
- Genetics 254
- Immunology 149
Countries citing papers authored by S. Hewitt
This map shows the geographic impact of S. 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 S. Hewitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Hewitt more than expected).
Fields of papers citing papers by S. Hewitt
This network shows the impact of papers produced by S. 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 S. Hewitt. The network helps show where S. Hewitt may publish in the future.
Co-authors
The 17 scholars most cited alongside S. 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
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1981 | 207 | |
| 2 | 1984 | 56 | |
| 3 | 1990 | 46 | |
| 4 | 1985 | 46 | |
| 5 | 1988 | 43 | |
| 6 | 1983 | 40 | |
| 7 | 1989 | 39 | |
| 8 | 1982 | 38 | |
| 9 | 1982 | 38 | |
| 10 | 1985 | 27 | |
| 11 | 1988 | 27 | |
| 12 | 1990 | 27 | |
| 13 | 1987 | 24 | |
| 14 | 1984 | 21 | |
| 15 | 1972 | 10 | |
| 16 | 1977 | 8 | |
| 17 | 1985 | 5 | |
| 18 | 1982 | 4 | |
| 19 | 1968 | 4 | |
| 20 | Bleeding in mid-pregnancy. | 1974 | 3 |
About S. Hewitt
S. Hewitt is a scholar working on Hematology, Physiology, Immunology, Genetics and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 718 indexed citations. Recurring topics across this work include Blood groups and transfusion (15 papers), Erythrocyte Function and Pathophysiology (10 papers), Immunodeficiency and Autoimmune Disorders (6 papers), Diabetes and associated disorders (3 papers), Platelet Disorders and Treatments (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Blood disorders and treatments (2 papers) and Metastasis and carcinoma case studies (2 papers). The work is most often cited by research in Hematology (620 citations), Physiology (465 citations), Genetics (119 citations), Genetics (254 citations) and Immunology (149 citations). S. Hewitt has collaborated with scholars based in Nigeria, United Kingdom and Australia. Frequent co-authors include Robert J. Sokol, Barbara K. Stamps, D.J. Booker, R. Stamps, H. H. Gunson, Ronald J. Sokol, K. Forman, J. R. Booth, W. T. A. Donohoe and John F. O’Grady. Their work appears in journals such as Acta Haematologica, Journal of Clinical Pathology, Vox Sanguinis, Transfusion and British Journal of Anaesthesia.
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.