Sylvia Granger

663 total citations
9 papers, 556 citations indexed

About

Sylvia Granger is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Sylvia Granger has authored 9 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Oncology. Recurrent topics in Sylvia Granger's work include T-cell and B-cell Immunology (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Glycosylation and Glycoproteins Research (2 papers). Sylvia Granger is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Glycosylation and Glycoproteins Research (2 papers). Sylvia Granger collaborates with scholars based in United Kingdom, Australia and Italy. Sylvia Granger's co-authors include George Janossy, N Tidman, Gideon Goldstein, Patrick C. Kung, J. Alero Thomas, MP Bodger, Warwick Selby, G. E. Francis, D Delia and L W Poulter and has published in prestigious journals such as Nature, The Journal of Immunology and Annals of the New York Academy of Sciences.

In The Last Decade

Sylvia Granger

9 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sylvia Granger United Kingdom 7 318 181 112 96 87 9 556
Ferdinand C. Breedveld Netherlands 11 392 1.2× 235 1.3× 101 0.9× 83 0.9× 49 0.6× 12 879
J Goldman United States 10 254 0.8× 190 1.0× 128 1.1× 161 1.7× 160 1.8× 14 642
S J Waters United States 9 416 1.3× 275 1.5× 146 1.3× 86 0.9× 37 0.4× 9 775
Ngaisah Klar‐Mohamad Netherlands 15 486 1.5× 155 0.9× 160 1.4× 122 1.3× 40 0.5× 23 780
T Nakagawa Japan 10 427 1.3× 151 0.8× 82 0.7× 48 0.5× 51 0.6× 14 576
C Irlé Switzerland 10 378 1.2× 89 0.5× 123 1.1× 143 1.5× 26 0.3× 23 664
O H Irigoyen United States 10 635 2.0× 315 1.7× 92 0.8× 39 0.4× 119 1.4× 15 857
Preud'homme Jl France 10 216 0.7× 95 0.5× 129 1.2× 129 1.3× 62 0.7× 42 438
U. Tjernlund Sweden 14 377 1.2× 193 1.1× 57 0.5× 44 0.5× 153 1.8× 23 713
Carmeline O’Brien United States 8 533 1.7× 141 0.8× 128 1.1× 43 0.4× 112 1.3× 8 694

Countries citing papers authored by Sylvia Granger

Since Specialization
Citations

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

Fields of papers citing papers by Sylvia Granger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvia Granger

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvia Granger. A scholar is included among the top collaborators of Sylvia Granger 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 Sylvia Granger. Sylvia Granger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Granger, Sylvia, George Janossy, G. E. Francis, et al.. (1982). ELIMINATION OF T‐LYMPHOCYTES FROM HUMAN BONE MARROW WITH MONOCLONAL T‐ANTIBODIES AND CYTOLYTIC COMPLEMENT. British Journal of Haematology. 50(2). 367–374. 41 indexed citations
2.
Francis, G. E., et al.. (1982). Distinct T lymphocyte subsets affect granulo-monocytic differentiation and proliferation.. PubMed. 2(2). 76–87. 2 indexed citations
3.
Tidman, N, George Janossy, MP Bodger, et al.. (1981). Delineation of human thymocyte differentiation pathways utilizing double-staining techniques with monoclonal antibodies.. PubMed. 45(3). 457–67. 115 indexed citations
4.
Willcox, Nick, J. Alero Thomas, Sylvia Granger, John Newsom–Davis, & George Janossy. (1981). IMMUNOPATHOLOGICAL STUDIES ON LYMPHOCYTE SUBPOPULATIONS INVOLVED IN AUTOANTIBODY PRODUCTION IN MY ASTHENIA GRAVIS. Annals of the New York Academy of Sciences. 377(1). 898–898. 3 indexed citations
5.
Bastin, J, Sylvia Granger, N Tidman, George Janossy, & Andrew J. McMichael. (1981). Recognition of a human T-lymphocyte differentiation antigen by an IgM monoclonal antibody.. PubMed. 46(3). 597–606. 22 indexed citations
6.
Bodger, MP, G. E. Francis, D Delia, Sylvia Granger, & George Janossy. (1981). A monoclonal antibody specific for immature human hemopoietic cells and T lineage cells.. The Journal of Immunology. 127(6). 2269–2274. 81 indexed citations
7.
Janossy, George, N Tidman, Warwick Selby, et al.. (1981). Subpopulations of human T lymphocytes occupy different microenvironments. International Journal of Immunopharmacology. 3(3). 209–225. 11 indexed citations
8.
Janossy, George, N Tidman, Warwick Selby, et al.. (1980). Human T lymphocytes of inducer and suppressor type occupy different microenvironments. Nature. 288(5786). 81–84. 224 indexed citations
9.
Janossy, George, J. Alero Thomas, G. Pizzolo, et al.. (1980). Immuno-histological diagnosis of lymphoproliferative diseases by selected combinations of antisera and monoclonal antibodies. British Journal of Cancer. 42(2). 224–242. 57 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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