Robert Pollack

6.9k total citations · 1 hit paper
130 papers, 4.8k citations indexed

About

Robert Pollack is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Robert Pollack has authored 130 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 34 papers in Genetics and 25 papers in Oncology. Recurrent topics in Robert Pollack's work include Virus-based gene therapy research (25 papers), Algebraic Geometry and Number Theory (17 papers) and Polyomavirus and related diseases (15 papers). Robert Pollack is often cited by papers focused on Virus-based gene therapy research (25 papers), Algebraic Geometry and Number Theory (17 papers) and Polyomavirus and related diseases (15 papers). Robert Pollack collaborates with scholars based in United States, United Kingdom and Canada. Robert Pollack's co-authors include R Risser, K. Weber, S. Shin, Victoria H. Freedman, Daniel B. Rifkin, Arthur Vogel, Robert D. Goldman, Mary Osborn, Bettie M. Steinberg and George J. Todaro and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Robert Pollack

120 papers receiving 4.2k citations

Hit Papers

Tumorigenicity of virus-transformed cells in nude mice is... 1975 2026 1992 2009 1975 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
Robert Pollack United States 34 2.4k 1.1k 1.0k 903 390 130 4.8k
Nicholas Proudfoot United Kingdom 80 20.1k 8.3× 2.3k 2.0× 890 0.9× 838 0.9× 2.4k 6.2× 219 23.3k
Hidetoshi Tahara Japan 44 7.2k 3.0× 659 0.6× 1.5k 1.5× 454 0.5× 2.4k 6.3× 196 10.6k
Walter Hunziker Singapore 54 5.5k 2.3× 785 0.7× 748 0.7× 3.2k 3.6× 366 0.9× 202 10.1k
Alexander G. Fletcher United Kingdom 29 1.2k 0.5× 279 0.2× 512 0.5× 1.3k 1.4× 206 0.5× 69 3.2k
Jun S. Song United States 38 5.9k 2.4× 1.1k 1.0× 937 0.9× 466 0.5× 2.0k 5.1× 118 7.7k
Tomer Kalisky Israel 27 1.6k 0.7× 349 0.3× 571 0.6× 76 0.1× 388 1.0× 53 2.9k
Hiroshi Hirai Japan 28 1.7k 0.7× 140 0.1× 977 0.9× 279 0.3× 331 0.8× 166 4.1k
John D. Lewis Canada 39 2.4k 1.0× 501 0.4× 721 0.7× 528 0.6× 525 1.3× 122 4.5k
Toshihiro Yamaguchi Japan 28 3.6k 1.5× 189 0.2× 1.7k 1.6× 365 0.4× 1.8k 4.5× 124 6.7k
François Robert Canada 42 6.9k 2.9× 759 0.7× 286 0.3× 212 0.2× 300 0.8× 106 8.1k

Countries citing papers authored by Robert Pollack

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Robert Pollack

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Pollack. A scholar is included among the top collaborators of Robert Pollack 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 Robert Pollack. Robert Pollack 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.
Crook, Oliver M., et al.. (2026). Biological data governance in an age of AI. Science. 391(6785). 558–561.
2.
Pollack, Robert & Matthew Cobb. (2022). Are there any good experiments that should not be done?. PLoS Biology. 20(2). e3001539–e3001539. 1 indexed citations
3.
Bellaïche, Joël & Robert Pollack. (2019). Congruences with Eisenstein series and μ-invariants. MPG.PuRe (Max Planck Society). 1 indexed citations
4.
Pollack, Robert. (2004). An algebraic version of a theorem of Kurihara. Journal of Number Theory. 110(1). 164–177. 11 indexed citations
5.
Callaghan, Paul D., Zhaohui Luo, James McKinna, & Robert Pollack. (2002). Types for Proofs and Programs : International Workshop, TYPES 2000, Durham, UK, December 8-12, 2000 : selected papers. Springer eBooks. 2 indexed citations
6.
Pollack, Robert. (2002). Gene Maps Lead Medicine Down the Wrong Road. Perspectives in biology and medicine. 45(1). 43–45. 2 indexed citations
7.
Smith, Jeffrey R., Marc Demers, Robert Pollack, & Susan A. Gregory. (2001). Prospective Comparison between Laparoscopic Preperitoneal Herniorrhaphy and Open Mesh Herniorrhaphy. The American Surgeon. 67(2). 115–117. 10 indexed citations
8.
Pollack, Robert. (1997). A crisis in scientific morale. Nature. 385(6618). 673–674. 1 indexed citations
9.
McKinna, James & Robert Pollack. (1997). Some Lambda Calculus and Type Theory Formalized. BRICS Report Series. 4(51). 19 indexed citations
10.
Harper, Robert & Robert Pollack. (1991). Type checking with universes. Theoretical Computer Science. 89(1). 107–136. 27 indexed citations
11.
Fukasawa, Kenji, George Sakoulas, Robert Pollack, & Suzie Chen. (1991). Excess Wild-Type p53 Blocks Initiation and Maintenance of Simian Virus 40 Transformation. Molecular and Cellular Biology. 11(7). 3472–3483. 7 indexed citations
12.
Levitt, Alexandra, Suzie Chen, George Blanck, Diane George, & Robert Pollack. (1985). Two Integrated Partial Repeats of Simian Virus 40 Together Code for a Super-T Antigen. Molecular and Cellular Biology. 5(4). 742–750. 9 indexed citations
13.
Friedman, E, Michael F. Verderame, Mack Lipkin, & Robert Pollack. (1985). Paradigm of actin cable loss does not apply to human colon tumor development. Proceedings of the American Association for Cancer Research. 26. 1 indexed citations
14.
Powers, Scott, Paul B. Fisher, & Robert Pollack. (1984). Analysis of the Reduced Growth Factor Dependency of Simian Virus 40-Transformed 3T3 Cells. Molecular and Cellular Biology. 4(8). 1572–1576. 10 indexed citations
15.
Blanck, George, Suzie Chen, & Robert Pollack. (1983). Integration, loss, and reacquisition of defective viral DNA in SV40-transformed mouse cell lines. Virology. 126(2). 413–428. 19 indexed citations
16.
Verderame, Michael F., et al.. (1981). Nonlytic simian virus 40-specific 100K phosphoprotein is associated with anchorage-independent growth in simian virus 40-transformed and revertant mouse cell lines.. Molecular and Cellular Biology. 1(11). 994–1006. 24 indexed citations
17.
Steinberg, Bettie M., et al.. (1980). Establishment and transformation diminish the ability of fibroblasts to contract a native collagen gel.. The Journal of Cell Biology. 87(1). 304–308. 142 indexed citations
18.
Vogel, Arthur & Robert Pollack. (1974). Chapter 5 Methods for Obtaining Revertants of Transformed Cells. Methods in cell biology. 8(0). 75–92. 14 indexed citations
19.
Hellman, A., Michael N. Oxman, & Robert Pollack. (1973). Biohazards in biological research : proceedings of a Conference held at the Asilomar Conference Center Pacific Grove, California January 22-24, 1973. 1 indexed citations
20.
Pollack, Robert. (1966). Changes in Leucine-Specific sRNA after Infection of E. coli by Phages T2 and T4. The Journal of General Physiology. 49(6). 1139–1145. 2 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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