Janet Sutherland

820 total citations
24 papers, 637 citations indexed

About

Janet Sutherland is a scholar working on Hematology, Immunology and Biochemistry. According to data from OpenAlex, Janet Sutherland has authored 24 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hematology, 9 papers in Immunology and 8 papers in Biochemistry. Recurrent topics in Janet Sutherland's work include Blood groups and transfusion (10 papers), Blood transfusion and management (8 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Janet Sutherland is often cited by papers focused on Blood groups and transfusion (10 papers), Blood transfusion and management (8 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Janet Sutherland collaborates with scholars based in United Kingdom, Italy and United States. Janet Sutherland's co-authors include Rebecca Cardigan, K. M. Thompson, G. Barden, M.D. Melamed, Christopher P. Turner, Meenu Wadhwa, Paula Dilger, J. B. Natvig, Freda K. Stevenson and Lorna M. Williamson and has published in prestigious journals such as Blood, Diabetologia and Vaccine.

In The Last Decade

Janet Sutherland

24 papers receiving 612 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Janet Sutherland United Kingdom 15 262 211 184 124 117 24 637
F.H.J. Claas Netherlands 20 415 1.6× 247 1.2× 411 2.2× 63 0.5× 58 0.5× 45 1.1k
N. L. C. Luban United States 14 362 1.4× 188 0.9× 52 0.3× 55 0.4× 47 0.4× 23 619
Nancy E. Goeken United States 18 203 0.8× 97 0.5× 309 1.7× 16 0.1× 52 0.4× 47 826
Luís Larrea Spain 15 355 1.4× 70 0.3× 92 0.5× 48 0.4× 30 0.3× 57 627
José Luis Bueno Spain 11 137 0.5× 148 0.7× 26 0.1× 116 0.9× 98 0.8× 24 453
R. Kekomäki Finland 12 260 1.0× 89 0.4× 56 0.3× 33 0.3× 22 0.2× 21 439
R. A. Sacher United States 15 276 1.1× 172 0.8× 343 1.9× 39 0.3× 7 0.1× 24 770
Shoichi Inaba Japan 16 274 1.0× 49 0.2× 269 1.5× 15 0.1× 21 0.2× 61 681
SJ Slichter United States 9 453 1.7× 198 0.9× 103 0.6× 58 0.5× 9 0.1× 16 664
H. Hambley United Kingdom 18 446 1.7× 88 0.4× 90 0.5× 16 0.1× 11 0.1× 35 795

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-authorship network of co-authors of Janet Sutherland

This figure shows the co-authorship network connecting the top 25 collaborators of Janet Sutherland. A scholar is included among the top collaborators of Janet Sutherland based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Janet Sutherland. Janet Sutherland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Vipond, Caroline, et al.. (2018). Development and validation of a monocyte activation test for the control/safety testing of an OMV-based meningococcal B vaccine. Vaccine. 37(29). 3747–3753. 11 indexed citations
2.
Sutherland, Janet, et al.. (2018). Evaluation of the monocyte activation test for the safety testing of meningococcal B vaccine Bexsero: A collaborative study. Vaccine. 37(29). 3761–3769. 12 indexed citations
3.
Sutherland, Janet & Roslyn Cameron. (2015). Employing phenomenology to highlight the richness of the leadership experience. eSpace (Curtin University). 1 indexed citations
4.
Sutherland, Janet, et al.. (2010). Platelet apoptosis and activation in platelet concentrates stored for up to 12 days in plasma or additive solution. Transfusion Medicine. 20(6). 392–402. 42 indexed citations
5.
6.
7.
Turner, Christopher P., Janet Sutherland, Meenu Wadhwa, Paula Dilger, & Rebecca Cardigan. (2005). In vitro function of platelet concentrates prepared after filtration of whole blood or buffy coat pools. Vox Sanguinis. 88(3). 164–171. 35 indexed citations
8.
Sutherland, Janet, et al.. (2004). A simple spectrophotometric method for the quantification of residual haemoglobin in platelet concentrates. Vox Sanguinis. 87(4). 264–271. 43 indexed citations
9.
Cardigan, Rebecca, Janet Sutherland, Meenu Wadhwa, Paula Dilger, & Robin Thorpe. (2003). The influence of platelet additive solutions on cytokine levels and complement activation in platelet concentrates during storage. Vox Sanguinis. 84(1). 28–35. 38 indexed citations
10.
Cardigan, Rebecca, et al.. (2001). The effect of leucocyte depletion on the quality of fresh‐frozen plasma. British Journal of Haematology. 114(1). 233–240. 47 indexed citations
11.
Garner, Stephen F., et al.. (2001). Residual subset population analysis in WBC‐reduced blood components using real‐time PCR quantitation of specific mRNA. Transfusion. 41(12). 1591–1600. 25 indexed citations
12.
Thorpe, Susan J., Freda K. Stevenson, Janet Sutherland, et al.. (1997). Cold agglutinin activity is common among human monoclonal IgM Rh system antibodies using the V4‐34 heavy chain variable gene segment. Transfusion. 37(11-12). 1111–1116. 26 indexed citations
13.
Thompson, K. M., et al.. (1992). Human monoclonal antibodies specific for blood group antigens demonstrate multispecific properties characteristic of natural autoantibodies.. PubMed. 76(1). 146–57. 29 indexed citations
14.
Thompson, K. M., Janet Sutherland, G. Barden, et al.. (1991). Human Monoclonal Antibodies against Blood Group Antigens Preferentially Express a VH4‐21 Variable Region Gene‐Associated Epitope. Scandinavian Journal of Immunology. 34(4). 509–518. 89 indexed citations
15.
Thompson, K. M., et al.. (1991). Human monoclonal antibodies to human blood group antigens Kidd Jka and Jkb. Transfusion Medicine. 1(2). 91–96. 6 indexed citations
16.
Mario, Umberto Di, Riccardo Perfetti, Giuseppe Pugliese, et al.. (1988). Quantitative immunological differences between newly diagnosed Graves’ disease patients and relapsed patients. Journal of Endocrinological Investigation. 11(2). 85–89. 3 indexed citations
17.
Pozzilli, Paolo, Pietro Arduini, N Visalli, et al.. (1987). Reduced protection against hepatitis B virus following vaccination in patients with Type 1 (insulin-dependent) diabetes. Diabetologia. 30(10). 817–9. 44 indexed citations
18.
Mario, Umberto Di, Francesco Dotta, Patrizia Gargiulo, et al.. (1987). Immunology in diabetic pregnancy: activated T cells in diabetic mothers and neonates. Diabetologia. 30(2). 66–71. 18 indexed citations
19.
Sutherland, Janet & Yūji Maruyama. (1974). Thoracic Irradiation – Induced Lymphopenia in Mice. Oncology. 30(1). 85–95. 4 indexed citations
20.
Aitken, Celia, Margaret A. J. Moffat, & Janet Sutherland. (1967). Respiratory illness and viral infection in an Edinburgh nursery. Journal of Hygiene. 65(1). 25–36. 3 indexed citations

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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