Stuart J. Rodda

3.2k total citations · 1 hit paper
38 papers, 2.6k citations indexed

About

Stuart J. Rodda is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Stuart J. Rodda has authored 38 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Immunology. Recurrent topics in Stuart J. Rodda's work include Monoclonal and Polyclonal Antibodies Research (16 papers), Immunotherapy and Immune Responses (9 papers) and T-cell and B-cell Immunology (9 papers). Stuart J. Rodda is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (16 papers), Immunotherapy and Immune Responses (9 papers) and T-cell and B-cell Immunology (9 papers). Stuart J. Rodda collaborates with scholars based in Australia, United States and United Kingdom. Stuart J. Rodda's co-authors include H. Mario Geysen, Tom J. Mason, Gordon Tribbick, Peter Schoofs, Elizabeth D. Getzoff, John A. Tainer, Hannah Alexander, Jeanette C. Reece, Francis R. Carbone and Richard A. Lerner and has published in prestigious journals such as Science, The Lancet and The Journal of Experimental Medicine.

In The Last Decade

Stuart J. Rodda

37 papers receiving 2.5k citations

Hit Papers

Strategies for epitope analysis using peptide synthesis 1987 2026 2000 2013 1987 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
Stuart J. Rodda Australia 21 1.4k 1.1k 902 363 249 38 2.6k
R A Houghten United States 30 1.4k 1.0× 490 0.5× 833 0.9× 288 0.8× 159 0.6× 62 3.0k
Steven M. Chamow United States 26 1.2k 0.9× 683 0.6× 816 0.9× 292 0.8× 194 0.8× 38 2.7k
Gordon Tribbick Australia 16 1.0k 0.8× 595 0.6× 389 0.4× 313 0.9× 206 0.8× 30 1.9k
Heinz Köhler United States 35 2.0k 1.5× 2.1k 1.9× 2.5k 2.7× 375 1.0× 336 1.3× 173 4.5k
Juergen Hammer United States 30 1.7k 1.3× 942 0.9× 2.5k 2.8× 429 1.2× 367 1.5× 62 3.8k
Thomas J. Kindt United States 36 1.8k 1.3× 1.2k 1.1× 2.2k 2.4× 255 0.7× 205 0.8× 177 4.1k
J. R. L. Pink Switzerland 30 1.5k 1.1× 983 0.9× 1.4k 1.6× 325 0.9× 93 0.4× 76 2.9k
Doris Scheidegger Switzerland 13 1.3k 0.9× 885 0.8× 3.1k 3.5× 363 1.0× 590 2.4× 16 4.6k
Emmanuel Bajyana Songa Belgium 9 1.5k 1.1× 1.7k 1.6× 631 0.7× 277 0.8× 264 1.1× 13 2.6k
George L. Spitalny United States 26 676 0.5× 359 0.3× 1.2k 1.3× 390 1.1× 227 0.9× 49 2.8k

Countries citing papers authored by Stuart J. Rodda

Since Specialization
Citations

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

Fields of papers citing papers by Stuart J. Rodda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stuart J. Rodda. 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 Stuart J. Rodda. The network helps show where Stuart J. Rodda may publish in the future.

Co-authorship network of co-authors of Stuart J. Rodda

This figure shows the co-authorship network connecting the top 25 collaborators of Stuart J. Rodda. A scholar is included among the top collaborators of Stuart J. Rodda 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 Stuart J. Rodda. Stuart J. Rodda 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.
Rodda, Stuart J., et al.. (2003). Epitope Mapping Using Multipin Peptide Synthesis. Humana Press eBooks. 66. 137–148. 1 indexed citations
2.
Rodda, Stuart J.. (2003). T-Cell Epitope Mapping with Synthetic Peptides and Peripheral Blood Mononuclear Cells. Humana Press eBooks. 66. 363–372.
3.
Liu, Xiao Song, Wen Jun Liu, Stuart J. Rodda, et al.. (2003). Paucity of functional CTL epitopes in the E7 oncoprotein of cervical cancer associated human papillomavirus type 16. Immunology and Cell Biology. 81(1). 1–7. 24 indexed citations
4.
Tribbick, Gordon & Stuart J. Rodda. (2002). Combinatorial methods for discovery of peptide ligands which bind to antibody‐like molecules. Journal of Molecular Recognition. 15(5). 306–310. 2 indexed citations
5.
Sette, A, Stuart J. Rodda, Scott Southwood, et al.. (1997). Determinants of T cell reactivity to the Mycobacterium leprae GroES homologue. The Journal of Immunology. 159(1). 335–343. 39 indexed citations
6.
Rodda, Stuart J.. (1997). Synthesis of Multiple Peptides on Plastic Pins. Current Protocols in Immunology. 22(1). 9.7.1–9.7.19. 1 indexed citations
7.
Barnden, Megan, William R. Heath, Stuart J. Rodda, & Francis R. Carbone. (1994). Peptide antagonists that promote positive selection are inefficient at T cell activation and thymocyte deletion. European Journal of Immunology. 24(10). 2452–2456. 31 indexed citations
8.
Reece, Jeanette C., et al.. (1994). Scanning for T helper epitopes with human PBMC using pools of short synthetic peptides. Journal of Immunological Methods. 172(2). 241–254. 19 indexed citations
9.
Burrows, Scott R., Joy Gardner, Rajiv Khanna, et al.. (1994). Five new cytotoxic T cell epitopes identified within Epstein-Barr virus nuclear antigen 3. Journal of General Virology. 75(9). 2489–2493. 86 indexed citations
11.
Lohmann, Tobias, Marco Londei, R. D. G. Leslie, et al.. (1994). Immunodominant epitopes of glutamic acid decarboxylase 65 and 67 in insulin-dependent diabetes mellitus. The Lancet. 343(8913). 1607–1608. 80 indexed citations
13.
Carbone, Francis R., et al.. (1992). T cell receptor α-chain pairing determines the specificity of residue 262 within the Kb-restricted, ovalbumin257–264 determinant. International Immunology. 4(8). 861–867. 59 indexed citations
14.
Tribbick, Gordon, et al.. (1991). Systematic fractionation of serum antibodies using multiple antigen homologous peptides as affinity ligands. Journal of Immunological Methods. 139(2). 155–166. 16 indexed citations
15.
Suhrbier, Andreas, Stuart J. Rodda, Peter A. Csurhes, et al.. (1991). Role of single amino acids in the recognition of a T cell epitope. The Journal of Immunology. 147(8). 2507–2513. 23 indexed citations
16.
Geysen, H. Mario, Tom J. Mason, & Stuart J. Rodda. (1988). Cognitive features of continuous antigenic determinants. Journal of Molecular Recognition. 1(1). 32–41. 130 indexed citations
17.
Geysen, H. Mario, Stuart J. Rodda, Tom J. Mason, Gordon Tribbick, & Peter Schoofs. (1987). Strategies for epitope analysis using peptide synthesis. Journal of Immunological Methods. 102(2). 259–274. 744 indexed citations breakdown →
18.
Getzoff, Elizabeth D., H. Mario Geysen, Stuart J. Rodda, et al.. (1987). Mechanisms of Antibody Binding to a Protein. Science. 235(4793). 1191–1196. 177 indexed citations
19.
Geysen, H. Mario, Stuart J. Rodda, Tom J. Mason, et al.. (1987). Response : Antigenicity of Myohemerythrin. Science. 238(4833). 1584–1586. 2 indexed citations
20.
Rodda, Stuart J. & DAVID O. WHITE. (1976). Cytotoxic Macrophages: A Rapid Nonspecific Response to Viral Infection. The Journal of Immunology. 117(6). 2067–2072. 43 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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