Donald W. Mason

4.7k total citations · 1 hit paper
45 papers, 4.0k citations indexed

About

Donald W. Mason is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Donald W. Mason has authored 45 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Immunology, 21 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Molecular Biology. Recurrent topics in Donald W. Mason's work include T-cell and B-cell Immunology (23 papers), Monoclonal and Polyclonal Antibodies Research (21 papers) and Immune Cell Function and Interaction (13 papers). Donald W. Mason is often cited by papers focused on T-cell and B-cell Immunology (23 papers), Monoclonal and Polyclonal Antibodies Research (21 papers) and Immune Cell Function and Interaction (13 papers). Donald W. Mason collaborates with scholars based in United Kingdom, United States and Germany. Donald W. Mason's co-authors include Margaret J. Dallman, Abigail Williams, Steven W. Brostoff, W. Robert McMaster, Roger J. Brideau, Philip B. Carter, Michael Webb, A. Neil Barclay, Fiona Powrie and Gavin P Spickett and has published in prestigious journals such as Nature, The Journal of Experimental Medicine and Blood.

In The Last Decade

Donald W. Mason

45 papers receiving 3.7k citations

Hit Papers

Two subsets of rat T lymphocytes defined with monoclonal ... 1980 2026 1995 2010 1980 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donald W. Mason United Kingdom 26 2.9k 1.0k 636 400 382 45 4.0k
Margreet Jonker Netherlands 33 2.0k 0.7× 534 0.5× 586 0.9× 322 0.8× 502 1.3× 148 3.5k
Fenneke G. Joslin United States 23 1.7k 0.6× 916 0.9× 745 1.2× 206 0.5× 136 0.4× 30 3.0k
H O McDevitt United States 25 1.8k 0.6× 458 0.4× 490 0.8× 890 2.2× 374 1.0× 38 3.0k
Ronald Palacios Sweden 40 3.2k 1.1× 838 0.8× 1.5k 2.3× 391 1.0× 177 0.5× 100 5.1k
P E Lipsky United States 31 2.2k 0.7× 551 0.5× 841 1.3× 171 0.4× 138 0.4× 46 3.6k
R H Schwartz United States 23 2.4k 0.8× 452 0.4× 605 1.0× 257 0.6× 188 0.5× 28 3.2k
W. L. Ford United Kingdom 31 1.9k 0.7× 403 0.4× 405 0.6× 132 0.3× 272 0.7× 59 2.8k
Teresa M. Foy United States 19 2.8k 1.0× 383 0.4× 459 0.7× 247 0.6× 165 0.4× 30 3.4k
Dolores Jaraquemada Spain 31 2.3k 0.8× 546 0.5× 588 0.9× 615 1.5× 233 0.6× 88 3.4k
J. F. A. P. Miller Australia 29 2.6k 0.9× 518 0.5× 564 0.9× 438 1.1× 252 0.7× 67 3.5k

Countries citing papers authored by Donald W. Mason

Since Specialization
Citations

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

Fields of papers citing papers by Donald W. Mason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald W. Mason. 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 Donald W. Mason. The network helps show where Donald W. Mason may publish in the future.

Co-authorship network of co-authors of Donald W. Mason

This figure shows the co-authorship network connecting the top 25 collaborators of Donald W. Mason. A scholar is included among the top collaborators of Donald W. Mason 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 Donald W. Mason. Donald W. Mason 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.
Kishimoto, T, Sanna M. Goyert, Hitoshi Kikutani, et al.. (1997). CD Antigens 1996. Blood. 89(10). 3502–3502. 18 indexed citations
3.
Powrie, Fiona, et al.. (1991). Lineage relationships and functions of CD4+ T-cell subsets in the rat. Research in Immunology. 142(1). 54–58. 15 indexed citations
4.
Mason, Donald W. & Fiona Powrie. (1990). Memory CD4+ T cells in man form two distinct subpopulations, defined by their expression of isoforms of the leucocyte common antigen, CD45.. PubMed. 70(4). 427–33. 73 indexed citations
5.
Powrie, Fiona & Donald W. Mason. (1989). The MRC OX-22- CD4+ T cells that help B cells in secondary immune responses derive from naive precursors with the MRC OX-22+ CD4+ phenotype.. The Journal of Experimental Medicine. 169(3). 653–662. 110 indexed citations
6.
MacPhee, Iain & Donald W. Mason. (1988). Evidence for an Immunosuppressive Autoantibody in Experimental Allergic Encephalomyelitis. Annals of the New York Academy of Sciences. 540(1). 718–719. 4 indexed citations
7.
Dodds, Alister W., et al.. (1988). A monoclonal antibody to C1q which appears to interact with C½C½s2‐binding site. FEBS Letters. 229(1). 21–24. 5 indexed citations
9.
Bowman, Christine, Donald W. Mason, Charles D. Pusey, & C M Lockwood. (1984). Autoregulation of autoantibody synthesis in mercuric chloride nephritis in the Brown Norway rat I. A role for T suppressor cells. European Journal of Immunology. 14(5). 464–470. 63 indexed citations
10.
Thorpe, P E, Simone Detre, Donald W. Mason, A.J. Cumber, & W. C. J. Ross. (1983). Monoclonal Antibody Therapy: “Model” Experiments with Toxin-Conjugated Antibodies in Mice and Rats. Hämatologie und Bluttransfusion. 28. 107–111. 4 indexed citations
11.
Mason, Donald W., et al.. (1983). Functions of Rat T‐Lymphocyte Subsets Isolated by Means of Monoclonal Antibodies. Immunological Reviews. 74(1). 57–82. 304 indexed citations
12.
Barclay, A. Neil & Donald W. Mason. (1982). Induction of Ia antigen in rat epidermal cells and gut epithelium by immunological stimuli.. The Journal of Experimental Medicine. 156(6). 1665–1676. 208 indexed citations
13.
Mason, Donald W., P E Thorpe, & W. C. J. Ross. (1982). Elimination of leukaemic cells from rodent bone marrow in vitro with antibody-ricin conjugates: Implications for autologous marrow transplantation in man. 1(3). 389–415. 7 indexed citations
14.
Dallman, Margaret J., Donald W. Mason, & Michael Webb. (1982). The roles of host and donor cells in the rejection of skin allografts by T cell‐deprived rats injected with syngeneic T cells. European Journal of Immunology. 12(6). 511–518. 165 indexed citations
15.
Mason, Donald W.. (1982). Subpopulations of T Cells in the Rat that Mediate Graft-Versus-Host Reactions and Lethal Graft-Versus-Host Disease. Advances in experimental medicine and biology. 149. 545–551. 7 indexed citations
16.
Mason, Donald W., et al.. (1981). Graft-versus-host disease induces expression of Ia antigen in rat epidermal cells and gut epithelium. Nature. 293(5828). 150–151. 238 indexed citations
17.
18.
White, Robert A., Donald W. Mason, Alan F. Williams, G. Galfré, & C Milstein. (1978). T-lymphocyte heterogeneity in the rat: separation of functional subpopulations using a monoclonal antibody.. The Journal of Experimental Medicine. 148(3). 664–673. 252 indexed citations
19.
Mason, Donald W.. (1976). The requirement for C3 receptors on the precursors of 19S and 7S antibody-forming cells.. The Journal of Experimental Medicine. 143(5). 1111–1121. 30 indexed citations
20.
Mason, Donald W.. (1976). The class of surface immunoglobulin on cells carrying IgG memory in rat thoracic duct lymph: the size of the subpopulation mediating IgG memory.. The Journal of Experimental Medicine. 143(5). 1122–1130. 48 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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