Robin Thorpe

9.6k total citations · 2 hit papers
227 papers, 7.0k citations indexed

About

Robin Thorpe is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Robin Thorpe has authored 227 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Immunology, 66 papers in Molecular Biology and 63 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Robin Thorpe's work include Monoclonal and Polyclonal Antibodies Research (62 papers), Biosimilars and Bioanalytical Methods (36 papers) and T-cell and B-cell Immunology (26 papers). Robin Thorpe is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (62 papers), Biosimilars and Bioanalytical Methods (36 papers) and T-cell and B-cell Immunology (26 papers). Robin Thorpe collaborates with scholars based in United Kingdom, United States and Italy. Robin Thorpe's co-authors include Meenu Wadhwa, Alan P. Johnstone, Rhona Mirsky, Paula Dilger, Chris Bird, Brian H. Anderton, A. J. H. Gearing, Stephen Poole, Anthony R. Mire‐Sluis and D. Robinson and has published in prestigious journals such as Cell, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Robin Thorpe

223 papers receiving 6.6k citations

Hit Papers

All classes of intermediate filaments share a common anti... 1981 2026 1996 2011 1981 1982 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robin Thorpe United Kingdom 44 2.8k 2.4k 1.4k 990 735 227 7.0k
David W. Scott United States 49 4.2k 1.5× 2.8k 1.2× 1.4k 1.0× 1.5k 1.6× 925 1.3× 287 8.0k
Paul Conlon United States 48 5.3k 1.9× 3.0k 1.3× 1.1k 0.8× 1.3k 1.3× 883 1.2× 97 9.3k
Heddy Zola Australia 42 2.6k 0.9× 1.8k 0.7× 1.2k 0.8× 737 0.7× 559 0.8× 259 6.3k
William J. Kohr United States 29 2.5k 0.9× 3.3k 1.4× 663 0.5× 1.0k 1.0× 555 0.8× 39 7.6k
Ángel L. Corbí Spain 56 5.3k 1.9× 3.5k 1.5× 899 0.6× 1.1k 1.1× 432 0.6× 160 10.9k
Alan D. Schreiber United States 50 2.9k 1.1× 2.7k 1.1× 1.4k 1.0× 690 0.7× 819 1.1× 140 8.4k
Walter Knapp Austria 59 6.0k 2.1× 2.9k 1.2× 1.3k 0.9× 1.6k 1.6× 527 0.7× 220 10.6k
Hisami Ikeda Japan 38 1.6k 0.6× 1.8k 0.7× 574 0.4× 450 0.5× 781 1.1× 170 5.9k
D Bitter-Suermann Germany 41 1.9k 0.7× 2.1k 0.9× 648 0.5× 477 0.5× 464 0.6× 162 5.4k
Frank Emmrich Germany 49 2.6k 0.9× 2.2k 0.9× 1.1k 0.8× 1.1k 1.1× 499 0.7× 231 8.3k

Countries citing papers authored by Robin Thorpe

Since Specialization
Citations

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

Fields of papers citing papers by Robin Thorpe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robin Thorpe

This figure shows the co-authorship network connecting the top 25 collaborators of Robin Thorpe. A scholar is included among the top collaborators of Robin Thorpe 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 Robin Thorpe. Robin Thorpe 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.
Thorpe, Robin. (2023). Response to the Opinion entitled ‘Biosimilars drug development: time for a paradigm shift?’. Generics and Biosimilars Initiative Journal. 12(1). 5–6. 1 indexed citations
2.
Annese, Vito, C. Avendaño, Ferdinand C. Breedveld, et al.. (2016). Roundtable on biosimilars with European regulators and medical societies, Brussels, Belgium, 12 January 2016. Generics and Biosimilars Initiative Journal. 5(2). 74–83. 12 indexed citations
3.
Dearman, Rebecca J., et al.. (2016). Editor’s Highlight: Subvisible Aggregates of Immunogenic Proteins Promote a Th1-Type Response. Toxicological Sciences. 153(2). 258–270. 31 indexed citations
4.
Thorpe, Robin & Meenu Wadhwa. (2014). Biosimilar monoclonal antibodies approved for use in the EU. Generics and Biosimilars Initiative Journal. 3(1). 9–10. 5 indexed citations
6.
Wadhwa, Meenu, Meena Subramanyam, Susan Goelz, et al.. (2013). Use of a Standardized MxA Protein Measurement-Based Assay for Validation of Assays for the Assessment of Neutralizing Antibodies Against Interferon-β. Journal of Interferon & Cytokine Research. 33(11). 660–671. 13 indexed citations
8.
Meager, Anthony, Carl Dolman, Paula Dilger, et al.. (2010). An Assessment of Biological Potency and Molecular Characteristics of Different Innovator and Noninnovator Interferon-Beta Products. Journal of Interferon & Cytokine Research. 31(4). 383–392. 24 indexed citations
9.
Eastwood, David, Lucy Findlay, Stephen Poole, et al.. (2010). Monoclonal antibody TGN1412 trial failure explained by species differences in CD28 expression on CD4 + effector memory T‐cells. British Journal of Pharmacology. 161(3). 512–526. 199 indexed citations
10.
Wadhwa, Meenu & Robin Thorpe. (2007). Unwanted Immunogenicity: Implications for Follow-on Biologicals. Drug Information Journal. 41(1). 1–9. 11 indexed citations
11.
Stebbings, Richard, Lucy Findlay, David Eastwood, et al.. (2007). “Cytokine Storm” in the Phase I Trial of Monoclonal Antibody TGN1412: Better Understanding the Causes to Improve PreClinical Testing of Immunotherapeutics. The Journal of Immunology. 179(5). 3325–3331. 222 indexed citations
12.
Wilson, Keith, John R. Walker, K. Wilson, et al.. (2005). Principles and Techniques of Biochemistry and Molecular Biology. Cambridge University Press eBooks. 119 indexed citations
13.
Farrar, Mark D., Terence R. Whitehead, Jing Lan, et al.. (2005). Engineering of the gut commensal bacterium Bacteroides ovatus to produce and secrete biologically active murine interleukin-2 in response to xylan. Journal of Applied Microbiology. 98(5). 1191–1197. 36 indexed citations
14.
Bacon, Kevin B., Hal E. Broxmeyer, Richard Horuk, et al.. (2002). Chemokine/Chemokine Receptor Nomenclature. Journal of Interferon & Cytokine Research. 22(10). 1067–1068. 279 indexed citations
16.
Mire‐Sluis, Anthony R., et al.. (1999). The Effects of Environmental Influences and Post‐translational Modification on the Biological Activity of Granulocyte Colony‐stimulating Factor. Pharmacy and Pharmacology Communications. 5(1). 45–49. 1 indexed citations
17.
Mire‐Sluis, Anthony R. & Robin Thorpe. (1999). Quality Considerations for Recombinant DNA-Derived Biological Therapeutic Products. BioDrugs. 11(6). 367–376. 2 indexed citations
18.
Cavallo, Maria Gisella, L. Monetini, Matteo Antonio Russo, Robin Thorpe, & Paolo Pozzilli. (1995). Mumps virus infection increases sensitivity to tumour necrosis factor-alpha and gamma-interferon induced cytotoxicity in a human insulinoma cell line. IRIS Research product catalog (Sapienza University of Rome). 8(6). 319–323. 1 indexed citations
19.
Thorpe, Robin & Anthony R. Mire‐Sluis. (1993). Interleukins: Molecular Biology and Immunology. Immunology. 78(1). 170. 1 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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