Anthony I. Dodi

604 total citations
9 papers, 490 citations indexed

About

Anthony I. Dodi is a scholar working on Immunology, Epidemiology and Oncology. According to data from OpenAlex, Anthony I. Dodi has authored 9 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Epidemiology and 2 papers in Oncology. Recurrent topics in Anthony I. Dodi's work include Immune Cell Function and Interaction (5 papers), Cytomegalovirus and herpesvirus research (4 papers) and T-cell and B-cell Immunology (4 papers). Anthony I. Dodi is often cited by papers focused on Immune Cell Function and Interaction (5 papers), Cytomegalovirus and herpesvirus research (4 papers) and T-cell and B-cell Immunology (4 papers). Anthony I. Dodi collaborates with scholars based in United Kingdom, Sweden and Canada. Anthony I. Dodi's co-authors include Steffen Walter, Geraldine Aubert, Wolfgang Wagner, Anders Wikby, Paul Travers, Graham Pawelec, Qin Ouyang, J. Alejandro Madrigal, C. Baboonian and Iain Scott and has published in prestigious journals such as The Journal of Immunology, European Journal of Immunology and Clinical & Experimental Immunology.

In The Last Decade

Anthony I. Dodi

9 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anthony I. Dodi United Kingdom	7	332	238	68	54	41	9	490
Sonja Kimmig Germany	6	439 1.3×	110 0.5×	60 0.9×	49 0.9×	41 1.0×	8	672
Maura Millesimo Italy	8	319 1.0×	115 0.5×	33 0.5×	64 1.2×	9 0.2×	8	448
Thierry Giffon France	10	258 0.8×	76 0.3×	30 0.4×	40 0.7×	26 0.6×	19	359
Tania Dufeu‐Duchesne France	10	406 1.2×	334 1.4×	10 0.1×	47 0.9×	17 0.4×	14	637
Pavankumar Reddy Varanasi Germany	9	255 0.8×	167 0.7×	189 2.8×	115 2.1×	26 0.6×	10	455
Emilio Cuadrado Spain	9	123 0.4×	70 0.3×	63 0.9×	19 0.4×	72 1.8×	13	330
M E Weksler United States	10	402 1.2×	161 0.7×	25 0.4×	33 0.6×	40 1.0×	17	594
M. L. Turner United Kingdom	8	117 0.4×	66 0.3×	56 0.8×	35 0.6×	19 0.5×	11	306
Gluckman Jc France	12	315 0.9×	76 0.3×	40 0.6×	91 1.7×	19 0.5×	38	520
José Ramón Vidal-Castiñeira Spain	14	336 1.0×	83 0.3×	75 1.1×	49 0.9×	17 0.4×	21	489

Countries citing papers authored by Anthony I. Dodi

Since Specialization

Citations

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

Fields of papers citing papers by Anthony I. Dodi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony I. Dodi. 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 Anthony I. Dodi. The network helps show where Anthony I. Dodi may publish in the future.

Co-authorship network of co-authors of Anthony I. Dodi

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

All Works

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9 of 9 papers shown

Rusakiewicz, Sylvie, J. Alejandro Madrigal, Paul Travers, & Anthony I. Dodi. (2009). BCR/ABL-specific CD8+ T cells can be detected from CML patients, but are only expanded from healthy donors. Cancer Immunology Immunotherapy. 58(9). 1449–1457. 13 indexed citations

Rusakiewicz, Sylvie, Geraldine Aubert, Richard E. Clark, et al.. (2009). Soluble HLA/peptide monomers cross-linked with co-stimulatory antibodies onto a streptavidin core molecule efficiently stimulate antigen-specific T cell responses. Cancer Immunology Immunotherapy. 58(9). 1459–1470. 3 indexed citations

Kaski, Juan Carlos, Della Cole, Gavin Arno, et al.. (2008). Differential Pathways Govern CD4+CD28− T Cell Proinflammatory and Effector Responses in Patients with Coronary Artery Disease. The Journal of Immunology. 181(8). 5233–5241. 30 indexed citations

Paston, Samantha, Tim C. Diss, Mark W. Lowdell, et al.. (2006). The T cell response to persistent herpes virus infections in common variable immunodeficiency. Clinical & Experimental Immunology. 146(2). 234–242. 50 indexed citations

Madrigal, J. Alejandro, Sylvie Rusakiewicz, Anthony I. Dodi, & Robert C. Rees. (2004). Immunotherapy with alloreactive T-cells?. The Hematology Journal. 5. S91–S95. 1 indexed citations

Ouyang, Qin, Wolfgang Wagner, Anders Wikby, et al.. (2003). Large Numbers of Dysfunctional CD8+ T Lymphocytes Bearing Receptors for a Single Dominant CMV Epitope in the Very Old. Journal of Clinical Immunology. 23(4). 247–257. 181 indexed citations

Solache, Alejandra, Claire Morgan, Anthony I. Dodi, et al.. (1999). Identification of Three HLA-A*0201-Restricted Cytotoxic T Cell Epitopes in the Cytomegalovirus Protein pp65 That Are Conserved Between Eight Strains of the Virus. The Journal of Immunology. 163(10). 5512–5518. 121 indexed citations

Dodi, Anthony I., Tommy W. Nordeng, Richard Batchelor, et al.. (1994). The invariant chain inhibits presentation of endogenous antigens by a human fibroblast cell line. European Journal of Immunology. 24(7). 1632–1639. 34 indexed citations

Gordon‐Smith, E. C., S. Fairhead, P. M. Chipping, et al.. (1982). Bone-marrow transplantation for severe aplastic anaemia using histocompatible unrelated volunteer donors.. BMJ. 285(6345). 835–837. 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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