Janet Sutherland

820 citations
24 papers · 637 indexed · h-index 15

Impact in

    • Blood transfusion and management
  • Hematology top 5%
    • Blood groups and transfusion
    • Platelet Disorders and Treatments

Papers in

    • Blood transfusion and management 8
    • Blood groups and transfusion 10
    • Platelet Disorders and Treatments 3

Janet Sutherland

24 papers receiving 612 citations

Peers

Janet Sutherland
Comparison fields: 5 of 78
  • Biochemistry 211
  • Hematology 262
  • Management of Technology and Innovation 124
  • Critical Care and Intensive Care Medicine 50
  • Immunology 184
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Citations per field
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Citations per year

Countries citing papers authored by Janet Sutherland

Since Specialization
Citations

This map shows the geographic impact of Janet Sutherland'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 Janet Sutherland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet Sutherland more than expected).

Fields of papers citing papers by Janet Sutherland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet Sutherland. 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 Janet Sutherland. The network helps show where Janet Sutherland may publish in the future.

Co-authors

The 25 scholars most cited alongside Janet Sutherland, 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 Janet Sutherland Line = papers co-authored together Janet Sutherland links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199189
2 200851
3 200147
4 198744
5 200443
6 201042
7 200242
8 200338
9 200736
10 200535
11
Human monoclonal antibodies specific for blood group antigens demonstrate multispecific properties characteristic of natural autoantibodies.
199229
12 199726
13 200125
14
Human monoclonal antibodies to C, c, E, e and G antigens of the Rh system.
199022
15 198718
16 201812
17 201811
18 19899
19 19916
20 19744

About Janet Sutherland

Janet Sutherland is a scholar working on Biochemistry, Hematology, Management of Technology and Innovation, Immunology and Toxicology, having authored 24 papers that have together received 637 indexed citations. Recurring topics across this work include Blood groups and transfusion (10 papers), Blood transfusion and management (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Blood donation and transfusion practices (4 papers), Glycosylation and Glycoproteins Research (3 papers), Platelet Disorders and Treatments (3 papers), Immune Response and Inflammation (3 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Biochemistry (211 citations), Hematology (262 citations), Management of Technology and Innovation (124 citations), Critical Care and Intensive Care Medicine (50 citations) and Immunology (184 citations). Janet Sutherland has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Rebecca Cardigan, K. M. Thompson, G. Barden, M.D. Melamed, Christopher P. Turner, Paula Dilger, Meenu Wadhwa, J. B. Natvig, Freda K. Stevenson and Lorna M. Williamson. Their work appears in journals such as Vox Sanguinis, Transfusion, Vaccine, Transfusion Medicine and Diabetologia.

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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