Ivan M. Roitt

4.9k total citations · 1 hit paper
76 papers, 3.2k citations indexed

About

Ivan M. Roitt is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Ivan M. Roitt has authored 76 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Immunology, 26 papers in Radiology, Nuclear Medicine and Imaging and 24 papers in Molecular Biology. Recurrent topics in Ivan M. Roitt's work include Monoclonal and Polyclonal Antibodies Research (24 papers), T-cell and B-cell Immunology (15 papers) and Glycosylation and Glycoproteins Research (10 papers). Ivan M. Roitt is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (24 papers), T-cell and B-cell Immunology (15 papers) and Glycosylation and Glycoproteins Research (10 papers). Ivan M. Roitt collaborates with scholars based in United Kingdom, United States and Denmark. Ivan M. Roitt's co-authors include Peter J. Delves, Deborah Doniach, Peter A. Berg, David Isenberg, Torben Lund, Anne Cooke, Raymond A. Dwek, G.A.W. Rook, Thomas W. Rademacher and Raj Parekh and has published in prestigious journals such as Nature, New England Journal of Medicine and The Journal of Experimental Medicine.

In The Last Decade

Ivan M. Roitt

68 papers receiving 3.0k citations

Hit Papers

The Immune System 2000 2026 2008 2017 2000 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan M. Roitt United Kingdom 26 1.2k 870 567 474 263 76 3.2k
Patrick J. Tighe United Kingdom 39 1.2k 1.0× 1.8k 2.1× 594 1.0× 365 0.8× 357 1.4× 129 4.7k
Michael Schlesinger Israel 28 1.2k 1.1× 483 0.6× 349 0.6× 269 0.6× 179 0.7× 81 3.2k
Yukio Koide Japan 32 1.5k 1.3× 1.1k 1.3× 370 0.7× 588 1.2× 464 1.8× 119 3.6k
A.H.W.M. Schuurs Netherlands 24 500 0.4× 1.5k 1.7× 588 1.0× 411 0.9× 296 1.1× 73 3.7k
A. M. Denman United Kingdom 29 1.8k 1.5× 758 0.9× 411 0.7× 725 1.5× 395 1.5× 144 5.1k
A. C. Allison United Kingdom 37 1.1k 1.0× 1.6k 1.8× 313 0.6× 618 1.3× 346 1.3× 105 4.9k
J B Allen United States 36 1.6k 1.4× 1.1k 1.2× 349 0.6× 356 0.8× 210 0.8× 67 4.3k
B. Weeke Denmark 41 615 0.5× 920 1.1× 370 0.7× 408 0.9× 313 1.2× 199 6.3k
Peter J. Delves United Kingdom 21 1.1k 0.9× 626 0.7× 371 0.7× 262 0.6× 187 0.7× 63 2.3k
Gary T. Jennings Switzerland 25 1.6k 1.4× 1.6k 1.8× 537 0.9× 793 1.7× 264 1.0× 36 4.1k

Countries citing papers authored by Ivan M. Roitt

Since Specialization
Citations

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

Fields of papers citing papers by Ivan M. Roitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan M. Roitt. 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 Ivan M. Roitt. The network helps show where Ivan M. Roitt may publish in the future.

Co-authorship network of co-authors of Ivan M. Roitt

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan M. Roitt. A scholar is included among the top collaborators of Ivan M. Roitt 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 Ivan M. Roitt. Ivan M. Roitt 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.
2.
Bayford, Richard, et al.. (2017). Emerging applications of nanotechnology for diagnosis and therapy of disease: a review. Physiological Measurement. 38(8). R183–R203. 51 indexed citations
3.
Míchiels, Johan, et al.. (2016). Inhibition of HIV Virus by Neutralizing Vhh Attached to Dual Functional Liposomes Encapsulating Dapivirine. Nanoscale Research Letters. 11(1). 350–350. 19 indexed citations
4.
Shah, Ajit J., et al.. (2016). Detection of the tau protein in human serum by a sensitive four-electrode electrochemical biosensor. Biosensors and Bioelectronics. 92. 482–488. 92 indexed citations
5.
Lund, Torben, Martina F. Callaghan, Philip M. Williams, et al.. (2011). The influence of ligand organization on the rate of uptake of gold nanoparticles by colorectal cancer cells. Biomaterials. 32(36). 9776–9784. 47 indexed citations
6.
Safwat, Akmal, Ninna Aggerholm‐Pedersen, Ivan M. Roitt, Jens Overgaard, & Marianne Hokland. (2004). Tumour burden and interleukin-2 dose affect the interaction between low-dose total body irradiation and interleukin 2. European Journal of Cancer. 40(9). 1412–1417. 18 indexed citations
7.
Safwat, Akmal, Ninna Aggerholm‐Pedersen, Ivan M. Roitt, Jens Overgaard, & Marianne Hokland. (2003). Low‐dose total body irradiation augments the therapeutic effect of interleukin‐2 in a mouse model for metastatic malignant melanoma. PubMed. 3(4). 161–168. 18 indexed citations
8.
Basset, Christelle, John Holton, Rachel O’Mahony, & Ivan M. Roitt. (2003). Innate immunity and pathogen–host interaction. Vaccine. 21. S12–S23. 96 indexed citations
9.
Porakishvili, Nino, Pia M. Martensen, Just Justesen, et al.. (2002). Elimination of luteinizing hormone cross-reactive epitopes from human chorionic gonadotropin. Vaccine. 20(16). 2053–2059. 15 indexed citations
10.
Delves, Peter J. & Ivan M. Roitt. (2000). The Immune System. New England Journal of Medicine. 343(2). 108–117. 265 indexed citations
11.
12.
Klonisch, Thomas, Peter J. Delves, Peter Berger, et al.. (1996). Relative location of epitopes involved in synergistic antibody binding using human chorionic gonadotropin as a model. European Journal of Immunology. 26(8). 1897–1905. 11 indexed citations
13.
Klonisch, Thomas, Adrian J. Lapthorn, Neil W. Isaacs, et al.. (1996). Identification and selective destruction of shared epitopes in human chorionic gonadotropin beta subunit. Journal of Reproductive Immunology. 31(1-2). 21–36. 31 indexed citations
14.
Brostoff, Jonathan, Peter M. Lydyard, & Ivan M. Roitt. (1994). Autoimmune disease : aetiopathogenesis, diagnosis and treatment. 3 indexed citations
15.
Hutchings, Patricia, Nicole M. Parish, Lorraine A. O’Reilly, et al.. (1993). The Regulation of Autoimmunity Through CD4+ T Cells. Autoimmunity. 15(sup1). 21–23. 10 indexed citations
16.
Dawe, Kim, Patricia Hutchings, Brian Champion, Anne Cooke, & Ivan M. Roitt. (1993). Autoantigens in thyroid diseases. Springer Seminars in Immunopathology. 14(3). 285–307. 20 indexed citations
17.
Roitt, Ivan M. & Anne Cooke. (1988). Idiotypic interactions in autoimmunity: an editorial overview. Journal of Autoimmunity. 1(1). 3–6. 3 indexed citations
18.
Parish, Nicole M., Ivan M. Roitt, & Anne Cooke. (1988). Phenotypic characteristics of cells involved in induced suppression to murine experimental autoimmune thyroiditis. European Journal of Immunology. 18(9). 1463–1467. 32 indexed citations
19.
Roitt, Ivan M.. (1984). New trends in vaccines. Academic Press eBooks. 2 indexed citations
20.
Schmid, Frank R., Ivan M. Roitt, & Maria José Alves Rocha. (1970). COMPLEMENT FIXATION BY A TWO-COMPONENT ANTIBODY SYSTEM: IMMUNOGLOBULIN G AND IMMUNOGLOBULIN M ANTI-GLOBULIN (RHEUMATOID FACTOR). The Journal of Experimental Medicine. 132(4). 673–693. 47 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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