D. Voak

2.4k citations
101 papers · 1.8k indexed · h-index 25

Impact in

Papers in

    • Blood groups and transfusion 68
    • Erythrocyte Function and Pathophysiology 34

D. Voak

95 papers receiving 1.5k citations

Peers

D. Voak
Comparison fields: 5 of 96
  • Hematology 1.0k
  • Biochemistry 177
  • Physiology 579
  • Genetics 234
  • Radiology, Nuclear Medicine and Imaging 485
Replace Jacob Nusbacher with:
Jacob Nusbacher United States
Lennart Rydberg Sweden
Juergen Bux Germany
F Kissmeyer-Nielsen Denmark
Kazuo Sakashita Japan
Nancy E. Goeken United States
F.H.J. Claas Netherlands
Cécile Kaplan France
J B Baker United States
D Ménaché United States
D. Voak relative to Jacob Nusbacher United States Jacob Nusbacher's profile →
Citations per field
00.5×4.8×
Jacob Nusbacher · 1×
Citations per year

Countries citing papers authored by D. Voak

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with D. Voak Line = papers co-authored together D. Voak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993170
2 198076
3 199567
4 199455
5 199954
6
A critical study of the IgG subclasses of Rh anti-D antibodies formed in pregnancy and in immunized volunteers.
197446
7 197845
8 199745
9 199943
10 197143
11 196942
12 199641
13 197739
14 197237
15 198537
16 197636
17 199336
18 200832
19 199731
20 199430

About D. Voak

D. Voak is a scholar working on Hematology, Physiology, Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 101 papers that have together received 1.8k indexed citations. Recurring topics across this work include Blood groups and transfusion (68 papers), Erythrocyte Function and Pathophysiology (34 papers), Monoclonal and Polyclonal Antibodies Research (20 papers), Hemoglobinopathies and Related Disorders (16 papers), Blood disorders and treatments (12 papers), Glycosylation and Glycoproteins Research (9 papers), Blood transfusion and management (6 papers) and Complement system in diseases (6 papers). The work is most often cited by research in Hematology (1.0k citations), Biochemistry (177 citations), Physiology (579 citations), Genetics (234 citations) and Radiology, Nuclear Medicine and Imaging (485 citations). D. Voak has collaborated with scholars based in United Kingdom, Nigeria and United States. Frequent co-authors include Marion L. Scott, Neil D. Avent, J.W. Jones, E. S. Lennox, Wendy Liu, J. Darnborough, C. C. Bowley, B L Hazleman, Jacqueline M. Bye and Ricarda Finnern. Their work appears in journals such as Vox Sanguinis, Transfusion Medicine, British Journal of Haematology, Blood and Transfusion.

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.

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