Don Healey

1.6k total citations
38 papers, 1.4k citations indexed

About

Don Healey is a scholar working on Immunology, Virology and Molecular Biology. According to data from OpenAlex, Don Healey has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Immunology, 8 papers in Virology and 7 papers in Molecular Biology. Recurrent topics in Don Healey's work include T-cell and B-cell Immunology (19 papers), Immune Cell Function and Interaction (15 papers) and Immunotherapy and Immune Responses (14 papers). Don Healey is often cited by papers focused on T-cell and B-cell Immunology (19 papers), Immune Cell Function and Interaction (15 papers) and Immunotherapy and Immune Responses (14 papers). Don Healey collaborates with scholars based in United Kingdom, United States and Canada. Don Healey's co-authors include Charles A. Nicolette, Anne Cooke, Irina Y. Tcherepanova, Quentin J. Sattentau, Peter C. L. Beverley, David Buck, Patricia Ozegbe, J.L. Turk, David M. Calderhead and Raymond W. Sweet and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Don Healey

38 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Don Healey United Kingdom 21 873 454 375 284 211 38 1.4k
Kara Olson United States 10 1.7k 2.0× 343 0.8× 237 0.6× 282 1.0× 172 0.8× 18 2.1k
Najet Rebaï France 19 1.2k 1.4× 486 1.1× 387 1.0× 138 0.5× 427 2.0× 26 1.8k
F. Javier Guenaga United States 8 669 0.8× 524 1.2× 228 0.6× 67 0.2× 150 0.7× 10 1.2k
Frank Mortari United States 18 913 1.0× 269 0.6× 344 0.9× 67 0.2× 316 1.5× 24 1.4k
Madeleine Zufferey Switzerland 11 1.4k 1.6× 276 0.6× 588 1.6× 178 0.6× 44 0.2× 17 1.9k
A H Rook United States 11 623 0.7× 251 0.6× 241 0.6× 66 0.2× 67 0.3× 11 1.2k
Sven Létourneau Switzerland 8 896 1.0× 250 0.6× 270 0.7× 89 0.3× 79 0.4× 10 1.2k
Luisa Sen Argentina 19 547 0.6× 422 0.9× 191 0.5× 53 0.2× 107 0.5× 61 1.5k
Peter Smith United States 14 417 0.5× 94 0.2× 666 1.8× 92 0.3× 148 0.7× 24 1.2k
Gary L. Buchschacher United States 17 186 0.2× 342 0.8× 588 1.6× 370 1.3× 59 0.3× 42 1.2k

Countries citing papers authored by Don Healey

Since Specialization
Citations

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

Fields of papers citing papers by Don Healey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Don Healey

This figure shows the co-authorship network connecting the top 25 collaborators of Don Healey. A scholar is included among the top collaborators of Don Healey 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 Don Healey. Don Healey 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.
Ge, Wei, Jacqueline Arp, Jifu Jiang, et al.. (2010). Induction of Kidney Allograft Tolerance by Soluble CD83 Associated With Prevalence of Tolerogenic Dendritic Cells and Indoleamine 2,3-Dioxygenase. Transplantation. 90(12). 1286–1293. 51 indexed citations
2.
Creusot, Rémi J., Pearl Chang, Don Healey, et al.. (2010). A Short Pulse of IL-4 Delivered by DCs Electroporated With Modified mRNA Can Both Prevent and Treat Autoimmune Diabetes in NOD Mice. Molecular Therapy. 18(12). 2112–2120. 47 indexed citations
3.
DeBenedette, Mark, David M. Calderhead, Irina Y. Tcherepanova, Charles A. Nicolette, & Don Healey. (2010). Potency of Mature CD40L RNA Electroporated Dendritic Cells Correlates With IL-12 Secretion by Tracking Multifunctional CD8+/CD28+ Cytotoxic T-cell Responses In Vitro. Journal of Immunotherapy. 34(1). 45–57. 32 indexed citations
4.
Tcherepanova, Irina Y., Aijing Z. Starr, Brad Lackford, et al.. (2009). The Immunosuppressive Properties of the HIV Vpr Protein Are Linked to a Single Highly Conserved Residue, R90. PLoS ONE. 4(6). e5853–e5853. 12 indexed citations
5.
Routy, Jean‐Pierre, Mohamed‐Rachid Boulassel, Bader Yassine‐Diab, et al.. (2009). Immunologic activity and safety of autologous HIV RNA-electroporated dendritic cells in HIV-1 infected patients receiving antiretroviral therapy. Clinical Immunology. 134(2). 140–147. 91 indexed citations
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Healey, Don, Patricia Ozegbe, Susan D. Arden, et al.. (1995). In vivo activity and in vitro specificity of CD4+ Th1 and Th2 cells derived from the spleens of diabetic NOD mice.. Journal of Clinical Investigation. 95(6). 2979–2985. 120 indexed citations
10.
Parish, Nicole M., et al.. (1995). Tolerance Induction as a Therapeutic Strategy for the Control of Autoimmune Endocrine Disease in Mouse Models. Immunological Reviews. 144(1). 269–300. 28 indexed citations
11.
Baxter, Alan G., Don Healey, & Anne Cooke. (1994). Mycobacteria Precipitate Autoimmune Rheumatic Disease in NOD Mice Via an Adjuvant‐Like Activity. Scandinavian Journal of Immunology. 39(6). 602–606. 26 indexed citations
12.
Baker, David, Sue Fairchild, Felipe Figueroa, et al.. (1993). Complete characterization of the expressed immune response genes in Biozzi AB/H mice: structural and functional identity between AB/H and NOD A region molecules. Immunogenetics. 37(4). 296–300. 29 indexed citations
13.
Schockmel, Gérard A., Chamorro Somoza, Simon J. Davis, Abigail Williams, & Don Healey. (1992). Construction of a binding site for human immunodeficiency virus type 1 gp120 in rat CD4.. The Journal of Experimental Medicine. 175(1). 301–304. 28 indexed citations
14.
Schockmel, Gérard A., Chamorro Somoza, David Buck, et al.. (1992). Antibody and HIV-1 gpl20 recognition of CD4 undermines the concept of mimicry between antibodies and receptors. Nature. 358(6381). 76–79. 65 indexed citations
15.
Bürger, Reinhard, et al.. (1991). T cell proliferation induced by monoclonal antibodies to a phosphatidylinositol‐linked differentiation antigen of guinea pig lymphocytes. European Journal of Immunology. 21(3). 701–705. 5 indexed citations
16.
Sattentau, Quentin J., James Arthos, Keith C. Deen, et al.. (1989). Structural analysis of the human immunodeficiency virus-binding domain of CD4. Epitope mapping with site-directed mutants and anti-idiotypes.. The Journal of Experimental Medicine. 170(4). 1319–1334. 126 indexed citations
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18.
Butter, C., Don Healey, David Baker, & J.L. Turk. (1989). A quantitative immunocytochemical study of the infiltrating lymphocytes in the spinal cord of guinea pigs with chronic relapsing experimental allergic encephalomyelitis. Journal of Neuroimmunology. 25(2-3). 169–176. 4 indexed citations
19.
Baker, David, et al.. (1988). Phenotypic Analysis of Guinea Pig Langerhans Cells with Antibodies Directed against Leucocyte Surface Antigens. International Archives of Allergy and Immunology. 86(3). 350–355. 15 indexed citations
20.
Healey, Don, et al.. (1987). An Antigenic Determinant Common to Lymphocytes and Langerhans Cells of the Guinea Pig. International Archives of Allergy and Immunology. 82(2). 120–124. 8 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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