Robert Piskol

5.7k total citations · 2 hit papers
32 papers, 3.0k citations indexed

About

Robert Piskol is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Robert Piskol has authored 32 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 9 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Robert Piskol's work include RNA regulation and disease (9 papers), RNA Research and Splicing (9 papers) and RNA and protein synthesis mechanisms (8 papers). Robert Piskol is often cited by papers focused on RNA regulation and disease (9 papers), RNA Research and Splicing (9 papers) and RNA and protein synthesis mechanisms (8 papers). Robert Piskol collaborates with scholars based in United States, Germany and France. Robert Piskol's co-authors include Jin Billy Li, Gokul Ramaswami, Meng How Tan, Wei Lin, Peter H. Seeburg, Alistair M. Chalk, Carl R. Walkley, Brian Liddicoat, Jochen C. Hartner and Zora Modrušan and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Robert Piskol

32 papers receiving 2.9k citations

Hit Papers

RNA editing by ADAR1 prevents MDA5 sensing of endogenous ... 2015 2026 2018 2022 2015 2017 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 Piskol United States 19 2.3k 711 523 499 245 32 3.0k
Yijie Gao China 15 2.4k 1.1× 715 1.0× 401 0.8× 314 0.6× 229 0.9× 31 2.8k
Valeria Tosello Italy 26 1.5k 0.7× 782 1.1× 328 0.6× 1.1k 2.3× 180 0.7× 59 3.1k
Timothy P. Bender United States 29 2.3k 1.0× 744 1.0× 1.1k 2.2× 1.4k 2.8× 254 1.0× 63 4.0k
Lyn Healy United Kingdom 27 1.3k 0.6× 714 1.0× 249 0.5× 588 1.2× 204 0.8× 59 2.7k
Marcus Kretzschmar United States 12 2.7k 1.2× 725 1.0× 345 0.7× 281 0.6× 274 1.1× 12 3.3k
Prakash K. Rao United States 16 1.6k 0.7× 522 0.7× 824 1.6× 409 0.8× 180 0.7× 20 2.3k
Tadanori Yamochi Japan 24 1.1k 0.5× 617 0.9× 391 0.7× 669 1.3× 144 0.6× 39 2.2k
Marc Lipinski France 28 1.8k 0.8× 306 0.4× 212 0.4× 413 0.8× 269 1.1× 67 2.6k
Gerard Brady United Kingdom 29 1.6k 0.7× 737 1.0× 327 0.6× 564 1.1× 443 1.8× 57 2.9k
Tyson V. Sharp United Kingdom 24 958 0.4× 347 0.5× 335 0.6× 317 0.6× 171 0.7× 48 1.6k

Countries citing papers authored by Robert Piskol

Since Specialization
Citations

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

Fields of papers citing papers by Robert Piskol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Piskol. 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 Piskol. The network helps show where Robert Piskol may publish in the future.

Co-authorship network of co-authors of Robert Piskol

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Piskol. A scholar is included among the top collaborators of Robert Piskol 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 Piskol. Robert Piskol 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.
Curtis, Matthew B., Gu Zhang, Robyn Clark, et al.. (2025). Abstract PR002: T cell engager therapy affects the spatial distribution and phenotype of T cells in the tumor microenvironment. Cancer Immunology Research. 13(2_Supplement). PR002–PR002. 1 indexed citations
2.
Himmels, Patricia, Alfonso Arrazate, Robyn Clark, et al.. (2023). T cell‐dependent bispecific antibodies alter organ‐specific endothelial cell–T cell interaction. EMBO Reports. 24(3). e55532–e55532. 6 indexed citations
3.
Wang, Putianqi, Noelyn M. Kljavin, Elaine E. Storm, et al.. (2023). Adrenergic nerves regulate intestinal regeneration through IL-22 signaling from type 3 innate lymphoid cells. Cell stem cell. 30(9). 1166–1178.e8. 22 indexed citations
4.
Mosteiro, Lluc, Simona Hankeová, Daniel Álvarez‐Sierra, et al.. (2023). Notch signaling in thyrocytes is essential for adult thyroid function and mammalian homeostasis. Nature Metabolism. 5(12). 2094–2110. 3 indexed citations
5.
Chang, Matthew T., Fergus Shanahan, Steven T. Staben, et al.. (2021). Identifying transcriptional programs underlying cancer drug response with TraCe-seq. Nature Biotechnology. 40(1). 86–93. 24 indexed citations
6.
Hagenbeek, Thijs J., Ho-June Lee, Jason Li, et al.. (2020). Machine-Learning and Chemicogenomics Approach Defines and Predicts Cross-Talk of Hippo and MAPK Pathways. Cancer Discovery. 11(3). 778–793. 37 indexed citations
7.
Piskol, Robert, Ling Huw, Ismail Sergin, et al.. (2019). A Clinically Applicable Gene-Expression Classifier Reveals Intrinsic and Extrinsic Contributions to Consensus Molecular Subtypes in Primary and Metastatic Colon Cancer. Clinical Cancer Research. 25(14). 4431–4442. 40 indexed citations
8.
Hegde, Ganapati V., Jennifer M. Giltnane, Lisa Crocker, et al.. (2019). NRG1 is a critical regulator of differentiation in TP63-driven squamous cell carcinoma. eLife. 8. 9 indexed citations
9.
Li, Ji, Robert Piskol, Ryan Ybarra, et al.. (2019). CD3 bispecific antibody–induced cytokine release is dispensable for cytotoxic T cell activity. Science Translational Medicine. 11(508). 128 indexed citations
10.
Biehs, Brian, Gerrit J.P. Dijkgraaf, Robert Piskol, et al.. (2018). A cell identity switch allows residual BCC to survive Hedgehog pathway inhibition. Nature. 562(7727). 429–433. 95 indexed citations
11.
Nile, Aaron H., Felipe de Sousa e Melo, Susmith Mukund, et al.. (2018). A selective peptide inhibitor of Frizzled 7 receptors disrupts intestinal stem cells. Nature Chemical Biology. 14(6). 582–590. 66 indexed citations
12.
Melo, Felipe de Sousa e, Antonina V. Kurtova, Jonathan M. Harnoss, et al.. (2017). A distinct role for Lgr5+ stem cells in primary and metastatic colon cancer. Nature. 543(7647). 676–680. 558 indexed citations breakdown →
13.
Karra, Kalpana, Jessica Chang, Robert Piskol, et al.. (2016). XenMine: A genomic interaction tool for the Xenopus community. Developmental Biology. 426(2). 155–164. 4 indexed citations
14.
Kusumi, Junko, et al.. (2015). A model of compensatory molecular evolution involving multiple sites in RNA molecules. Journal of Theoretical Biology. 388. 96–107. 4 indexed citations
15.
Liddicoat, Brian, Robert Piskol, Jin Billy Li, et al.. (2014). RNA editing is the primary in vivo function of ADAR1 and is essential for hematopoiesis. Experimental Hematology. 42(8). S17–S17. 1 indexed citations
16.
Ramaswami, Gokul, Rui Zhang, Robert Piskol, et al.. (2013). Identifying RNA editing sites using RNA sequencing data alone. Nature Methods. 10(2). 128–132. 289 indexed citations
17.
Piskol, Robert, Gokul Ramaswami, & Jin Billy Li. (2013). Reliable Identification of Genomic Variants from RNA-Seq Data. The American Journal of Human Genetics. 93(4). 641–651. 238 indexed citations
18.
Ramaswami, Gokul, Wei Lin, Robert Piskol, et al.. (2012). Accurate identification of human Alu and non-Alu RNA editing sites. Nature Methods. 9(6). 579–581. 298 indexed citations
19.
Piskol, Robert, Michaela Beitzinger, Jia Zhu, et al.. (2010). The small RNA expression profile of the developing murine urinary and reproductive systems. FEBS Letters. 584(21). 4426–4434. 17 indexed citations
20.
Piskol, Robert & Wolfgang Stephan. (2010). Selective Constraints in Conserved Folded RNAs of Drosophilid and Hominid Genomes. Molecular Biology and Evolution. 28(4). 1519–1529. 10 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026