R C Kennedy
- Immunology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Virology top 2%
- Molecular Biology
- Epidemiology top 10%
- Co-authors
- G R DreesmanTran C. ChanhGordon R. DreesmanRobert K. BrightPatrick KandaJames T. SparrowRichard D. HenkelDavid D. Ho
- Topics
- Monoclonal and Polyclonal Antibodies Research (12 papers)Immunotherapy and Immune Responses (9 papers)T-cell and B-cell Immunology (6 papers)
- Partner nations
- United StatesIsraelGuinea-Bissau
In The Last Decade
R C Kennedy
30 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 71
- Immunology 680
- Radiology, Nuclear Medicine and Imaging 488
- Virology 414
- Molecular Biology 399
- Epidemiology 262
Countries citing papers authored by R C Kennedy
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | DNA cancer vaccination strategies target SV40 large tumour antigen in a murine experimental metastasis model. | 4 |
| 2 | Immunotherapy of SV40 induced tumours in mice: a model for vaccine development. | 7 |
| 3 | Evidence for and implications of SV40-like sequences in human mesotheliomas. | 12 |
| 4 | 24 | |
| 5 | 30 | |
| 6 | 38 | |
| 7 | 10 | |
| 8 | 23 | |
| 9 | 28 | |
| 10 | 14 | |
| 11 | A common anti-DNA idiotype and other autoantibodies in sera of offspring of mothers with systemic lupus erythematosus. | 21 |
| 12 | The sera of patients with Klebsiella infections contain a common anti-DNA idiotype (16/6) Id and anti-polynucleotide activity. | 64 |
| 13 | 52 | |
| 14 | 153 | |
| 15 | 198 | |
| 16 | 92 | |
| 17 | 0 | |
| 18 | 48 | |
| 19 | 75 | |
| 20 | 40 |
About R C Kennedy
R C Kennedy is a scholar working on Virology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), Immunotherapy and Immune Responses (9 papers) and T-cell and B-cell Immunology (6 papers). The work is most often cited by research in Virology (414 citations), Immunology (680 citations) and Radiology, Nuclear Medicine and Imaging (488 citations). R C Kennedy has collaborated with scholars based in United States, Israel and Guinea-Bissau. Frequent co-authors include G R Dreesman, Tran C. Chanh, Gordon R. Dreesman, Robert K. Bright, Patrick Kanda, James T. Sparrow, Richard D. Henkel, David D. Ho, J.S. Allan and Michael H. Shearer. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.