Robert Pollack
Impact in
- Cell Biology top 1%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Algebra and Number Theory top 5%
Papers in
-
- Renal and related cancers 8
- RNA Interference and Gene Delivery 8
- Genetics 34
- Virus-based gene therapy research 25
- Co-authors
- R Risser (6 shared papers)K. Weber (4 shared papers)Victoria H. Freedman (1 shared paper)S. Shin (1 shared paper)Daniel B. Rifkin (5 shared papers)Arthur Vogel (8 shared papers)Robert D. Goldman (8 shared papers)Mary Osborn (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (14 papers)Journal of Virology (9 papers)Molecular and Cellular Biology (9 papers)Journal of Cellular Physiology (7 papers)Science (6 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Robert Pollack
120 papers receiving 4.2k citations
Robert Pollack's Hit Papers
Peers
Comparison fields: 5 of 160
- Cell Biology 903
- Algebra and Number Theory 206
- Genetics 1.1k
- Geometry and Topology 343
- Mathematical Physics 339
Countries citing papers authored by Robert Pollack
This map shows the geographic impact of Robert Pollack'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 Robert Pollack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Pollack more than expected).
Fields of papers citing papers by Robert Pollack
This network shows the impact of papers produced by Robert Pollack. 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 Robert Pollack. The network helps show where Robert Pollack may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Pollack, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Tumorigenicity of virus-transformed cells in nude mice is correlated specifically with anchorage independent growth in vitro. Hit paper breakdown → | 1975 | 632 |
| 2 | 1975 | 356 | |
| 3 | 1974 | 234 | |
| 4 | 1968 | 198 | |
| 5 | 1975 | 197 | |
| 6 | 1975 | 186 | |
| 7 | 1980 | 156 | |
| 8 | 1980 | 142 | |
| 9 | 1974 | 128 | |
| 10 | 1979 | 123 | |
| 11 | 1975 | 119 | |
| 12 | 1978 | 117 | |
| 13 | 1969 | 94 | |
| 14 | 1973 | 84 | |
| 15 | 1970 | 78 | |
| 16 | 2005 | 71 | |
| 17 | 1973 | 67 | |
| 18 | 2003 | 67 | |
| 19 | 1974 | 65 | |
| 20 | 1999 | 64 |
About Robert Pollack
Robert Pollack is a scholar working on Molecular Biology, Genetics, Oncology, Geometry and Topology and Mathematical Physics, having authored 130 papers that have together received 4.8k indexed citations. Recurring topics across this work include Virus-based gene therapy research (25 papers), Algebraic Geometry and Number Theory (17 papers), Polyomavirus and related diseases (15 papers), Advanced Algebra and Geometry (14 papers), Bacteriophages and microbial interactions (9 papers), Renal and related cancers (8 papers), Reproductive Biology and Fertility (8 papers) and RNA Interference and Gene Delivery (8 papers). The work is most often cited by research in Cell Biology (903 citations), Algebra and Number Theory (206 citations), Genetics (1.1k citations), Geometry and Topology (343 citations) and Mathematical Physics (339 citations). Robert Pollack has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include R Risser, K. Weber, Victoria H. Freedman, S. Shin, Daniel B. Rifkin, Arthur Vogel, Robert D. Goldman, Mary Osborn, Bettie M. Steinberg and George J. Todaro. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Virology, Molecular and Cellular Biology, Journal of Cellular Physiology and Science.
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.