R C Kennedy

1.6k total citations
31 papers, 1.4k citations indexed

About

R C Kennedy is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, R C Kennedy has authored 31 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 12 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Epidemiology. Recurrent topics in R C Kennedy's work include Monoclonal and Polyclonal Antibodies Research (12 papers), Immunotherapy and Immune Responses (9 papers) and T-cell and B-cell Immunology (6 papers). R C Kennedy is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (12 papers), Immunotherapy and Immune Responses (9 papers) and T-cell and B-cell Immunology (6 papers). R C Kennedy collaborates with scholars based in United States, Israel and Italy. R C Kennedy's co-authors include G R Dreesman, Tran C. Chanh, Gordon R. Dreesman, Robert K. Bright, Patrick Kanda, James T. Sparrow, Richard D. Henkel, J.S. Allan, David D. Ho and Michael H. Shearer and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

R C Kennedy

30 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
R C Kennedy United States 22 680 488 414 399 262 31 1.4k
Marie‐France del Guercio United States 18 1.3k 1.9× 363 0.7× 346 0.8× 904 2.3× 354 1.4× 21 1.9k
Denise M. McKinney United States 25 1.1k 1.6× 287 0.6× 300 0.7× 899 2.3× 687 2.6× 32 2.2k
Antonella Folgori Italy 31 670 1.0× 580 1.2× 307 0.7× 733 1.8× 1.2k 4.5× 55 2.6k
Andrew F. Geczy Australia 24 1.1k 1.7× 171 0.4× 500 1.2× 302 0.8× 314 1.2× 94 2.1k
Paul Zhou United States 22 571 0.8× 196 0.4× 384 0.9× 435 1.1× 457 1.7× 70 1.5k
Glenn Ishioka United States 24 1.5k 2.1× 363 0.7× 178 0.4× 844 2.1× 591 2.3× 45 2.3k
I. McConnell United Kingdom 27 1.0k 1.5× 236 0.5× 315 0.8× 258 0.6× 572 2.2× 68 1.9k
Erik Depla Belgium 23 485 0.7× 697 1.4× 282 0.7× 482 1.2× 1.6k 6.0× 48 2.7k
Nadia L. Bernasconi United States 9 1.5k 2.2× 212 0.4× 126 0.3× 252 0.6× 721 2.8× 9 2.3k
D B Weiner United States 12 423 0.6× 108 0.2× 340 0.8× 337 0.8× 207 0.8× 19 817

Countries citing papers authored by R C Kennedy

Since Specialization
Citations

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

Fields of papers citing papers by R C Kennedy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R C Kennedy. 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 R C Kennedy. The network helps show where R C Kennedy may publish in the future.

Co-authorship network of co-authors of R C Kennedy

This figure shows the co-authorship network connecting the top 25 collaborators of R C Kennedy. A scholar is included among the top collaborators of R C Kennedy 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 R C Kennedy. R C Kennedy 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.
Bright, Robert K., et al.. (2000). DNA cancer vaccination strategies target SV40 large tumour antigen in a murine experimental metastasis model.. PubMed. 104. 143–7. 4 indexed citations
2.
Bright, Robert K., Michael H. Shearer, Harvey I. Pass, & R C Kennedy. (1998). Immunotherapy of SV40 induced tumours in mice: a model for vaccine development.. PubMed. 94. 341–53. 7 indexed citations
3.
Paoletti, Lawrence C., R C Kennedy, Tran C. Chanh, & Dennis L. Kasper. (1996). Immunogenicity of group B Streptococcus type III polysaccharide-tetanus toxoid vaccine in baboons. Infection and Immunity. 64(2). 677–679. 24 indexed citations
4.
Pass, Harvey I., et al.. (1996). Evidence for and implications of SV40-like sequences in human mesotheliomas.. PubMed. 89–108. 12 indexed citations
5.
Wong, Michael T., et al.. (1995). A chemically defined liquid medium that supports primary isolation of Rochalimaea (Bartonella) henselae from blood and tissue specimens. Journal of Clinical Microbiology. 33(3). 742–744. 30 indexed citations
7.
Shearer, Michael H., Robert K. Bright, Robert E. Lanford, & R C Kennedy. (1993). Immunization of mice with baculovirus-derived recombinant SV40 large tumour antigen induces protective tumour immunity to a lethal challenge with SV40-transformed cells. Clinical & Experimental Immunology. 91(2). 266–271. 15 indexed citations
8.
Lohman, Kenton L., et al.. (1992). Characteristics of murine monoclonal anti-CD4. Epitope recognition, idiotype expression, and variable region gene sequence. The Journal of Immunology. 149(10). 3247–3253. 10 indexed citations
9.
Attanasio, Roberta, J.S. Allan, Stephanie A. Anderson, Tran C. Chanh, & R C Kennedy. (1991). Anti-idiotypic antibody response to monoclonal anti-CD4 preparations in nonhuman primate species. The Journal of Immunology. 146(2). 507–514. 23 indexed citations
10.
El-Roeiy, Albert, Guido Valesini, Jan Friberg, et al.. (1988). Autoantibodies and common idiotypes in men and women with sperm antibodies. American Journal of Obstetrics and Gynecology. 158(3). 596–603. 28 indexed citations
11.
Shoenfeld, Yehuda, et al.. (1987). Increased presence of common systemic lupus erythematosus (SLE) anti-DNA idiotypes (16/6 Id, 32/15 Id) is induced by procainamide. Journal of Clinical Immunology. 7(5). 410–419. 14 indexed citations
12.
El-Roeiy, Albert, Norbert Gleicher, David Isenberg, R C Kennedy, & Y Shoenfeld. (1987). A common anti-DNA idiotype and other autoantibodies in sera of offspring of mothers with systemic lupus erythematosus.. PubMed. 68(3). 528–34. 21 indexed citations
13.
Isenberg, David, et al.. (1987). The sera of patients with Klebsiella infections contain a common anti-DNA idiotype (16/6) Id and anti-polynucleotide activity.. PubMed. 67(3). 507–15. 64 indexed citations
14.
Chanh, Tran C., G R Dreesman, & R C Kennedy. (1987). Monoclonal anti-idiotypic antibody mimics the CD4 receptor and binds human immunodeficiency virus.. Proceedings of the National Academy of Sciences. 84(11). 3891–3895. 69 indexed citations
15.
Kennedy, R C, Richard D. Henkel, Daniel Pauletti, et al.. (1986). Antiserum to a Synthetic Peptide Recognizes the HTLV-III Envelope Glycoprotein. Science. 231(4745). 1556–1559. 153 indexed citations
16.
Chanh, Tran C., Gordon R. Dreesman, Patrick Kanda, et al.. (1986). Induction of anti-HIV neutralizing antibodies by synthetic peptides.. The EMBO Journal. 5(11). 3065–3071. 198 indexed citations
17.
18.
Kennedy, R C & G R Dreesman. (1984). Enhancement of the immune response to hepatitis B surface antigen. In vivo administration of antiidiotype induces anti-HBs that expresses a similar idiotype.. The Journal of Experimental Medicine. 159(3). 655–665. 92 indexed citations
19.
Kennedy, R C, et al.. (1984). Antibody to Hepatitis B Virus Induced by Injecting Antibodies to the Idiotype. Science. 223(4639). 930–931. 48 indexed citations
20.
Kennedy, R C & G R Dreesman. (1983). Common idiotypic determinant associated with human antibodies to hepatitis B surface antigen.. The Journal of Immunology. 130(1). 385–389. 75 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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