Deborah R. Surman
- Immunology top 0.5%
- Oncology top 1%
- Molecular Biology top 10%
- Genetics top 5%
- Epidemiology
- Co-authors
- Nicholas P. RestifoSteven A. RosenbergWillem W. OverwijkPaul A. AntonyDouglas C. PalmerSteven E. FinkelsteinChristopher A. KlebanoffMarc R. Theoret
- Topics
- Immunotherapy and Immune Responses (15 papers)T-cell and B-cell Immunology (8 papers)Virus-based gene therapy research (6 papers)
- Cited by
- ImmunologyOncologyGenetics
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationThe Journal of Experimental Medicine
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Deborah R. Surman
24 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Immunology 2.8k
- Oncology 1.8k
- Molecular Biology 871
- Genetics 451
- Epidemiology 151
Countries citing papers authored by Deborah R. Surman
This map shows the geographic impact of Deborah R. Surman'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 Deborah R. Surman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deborah R. Surman more than expected).
Fields of papers citing papers by Deborah R. Surman
This network shows the impact of papers produced by Deborah R. Surman. 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 Deborah R. Surman. The network helps show where Deborah R. Surman may publish in the future.
Co-authorship network of co-authors of Deborah R. Surman
This figure shows the co-authorship network connecting the top 25 collaborators of Deborah R. Surman. A scholar is included among the top collaborators of Deborah R. Surman 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 Deborah R. Surman. Deborah R. Surman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 21 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 10 | |
| 8 | 46 | |
| 9 | CD8+ T Cell Immunity Against a Tumor/Self-Antigen Is Augmented by CD4+ T Helper Cells and Hindered by Naturally Occurring T Regulatory Cellsbreakdown → | 585 |
| 10 | 481 | |
| 11 | 102 | |
| 12 | 100 | |
| 13 | 24 | |
| 14 | 138 | |
| 15 | 39 | |
| 16 | 12 | |
| 17 | 22 | |
| 18 | 129 | |
| 19 | 48 | |
| 20 | Cyclin-dependent kinase activation and S-phase induction of the cyclin B1 gene are linked through the CCAAT elements. | 72 |
About Deborah R. Surman
Deborah R. Surman is a scholar working on Immunology, Applied Microbiology and Biotechnology and Oncology, having authored 26 papers that have together received 3.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (15 papers), T-cell and B-cell Immunology (8 papers) and Virus-based gene therapy research (6 papers). The work is most often cited by research in Immunology (2.8k citations), Oncology (1.8k citations) and Genetics (451 citations). Deborah R. Surman has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Nicholas P. Restifo, Steven A. Rosenberg, Willem W. Overwijk, Paul A. Antony, Douglas C. Palmer, Steven E. Finkelstein, Christopher A. Klebanoff, Marc R. Theoret, Chi-Chao Chan and Paul J. Spiess. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.
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.