D. Voak
Impact in
- Hematology top 0.5%
- Blood groups and transfusion
- Biochemistry top 5%
- Blood transfusion and management
Papers in
- Hematology 72
- Blood groups and transfusion 71
- Physiology 36
- Erythrocyte Function and Pathophysiology 34
- Co-authors
- Marion L. Scott (22 shared papers)E. S. Lennox (6 shared papers)Neil D. Avent (9 shared papers)J.W. Jones (5 shared papers)J. Darnborough (7 shared papers)Wendy Liu (7 shared papers)B L Hazleman (2 shared papers)C. C. Bowley (4 shared papers)
- Journals
- Vox Sanguinis (39 papers)Transfusion Medicine (11 papers)British Journal of Haematology (6 papers)Transfusion (4 papers)Blood (4 papers)
- Partner nations
- United KingdomNigeriaUnited States
In The Last Decade
D. Voak
98 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 98
- Hematology 1.1k
- Biochemistry 168
- Genetics 240
- Physiology 571
- Radiology, Nuclear Medicine and Imaging 481
Countries citing papers authored by D. Voak
This map shows the geographic impact of D. Voak'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 D. Voak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Voak more than expected).
Fields of papers citing papers by D. Voak
This network shows the impact of papers produced by D. Voak. 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 D. Voak. The network helps show where D. Voak may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Voak, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 184 | |
| 2 | 1980 | 88 | |
| 3 | 1995 | 72 | |
| 4 | 1994 | 61 | |
| 5 | 1999 | 54 | |
| 6 | 1971 | 51 | |
| 7 | A critical study of the IgG subclasses of Rh anti-D antibodies formed in pregnancy and in immunized volunteers. | 1974 | 50 |
| 8 | 1978 | 46 | |
| 9 | 1997 | 46 | |
| 10 | 1972 | 45 | |
| 11 | 1977 | 45 | |
| 12 | 1999 | 44 | |
| 13 | 1969 | 43 | |
| 14 | 1976 | 42 | |
| 15 | 1996 | 42 | |
| 16 | 1985 | 42 | |
| 17 | 2000 | 37 | |
| 18 | 1993 | 35 | |
| 19 | 2008 | 34 | |
| 20 | 1988 | 33 |
About D. Voak
D. Voak is a scholar working on Hematology, Physiology, Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 105 papers that have together received 1.9k indexed citations. Recurring topics across this work include Blood groups and transfusion (71 papers), Erythrocyte Function and Pathophysiology (34 papers), Monoclonal and Polyclonal Antibodies Research (20 papers), Hemoglobinopathies and Related Disorders (16 papers), Blood disorders and treatments (11 papers), Glycosylation and Glycoproteins Research (10 papers), Blood donation and transfusion practices (6 papers) and Immunodeficiency and Autoimmune Disorders (6 papers). The work is most often cited by research in Hematology (1.1k citations), Biochemistry (168 citations), Genetics (240 citations), Physiology (571 citations) and Radiology, Nuclear Medicine and Imaging (481 citations). D. Voak has collaborated with scholars based in United Kingdom, Nigeria and United States. Frequent co-authors include Marion L. Scott, E. S. Lennox, Neil D. Avent, J.W. Jones, J. Darnborough, Wendy Liu, B L Hazleman, C. C. Bowley, Michael A. Williams and M E Devey. Their work appears in journals such as Vox Sanguinis, Transfusion Medicine, British Journal of Haematology, Transfusion and Blood.
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.