Robert Piskol
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- RNA regulation and disease
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
Papers in
-
- RNA regulation and disease 9
- RNA Research and Splicing 9
- RNA and protein synthesis mechanisms 8
- Genomics and Phylogenetic Studies 4
- Genomics and Chromatin Dynamics 4
- Co-authors
- Jin Billy LiGokul RamaswamiMeng How TanWei LinPeter H. SeeburgAlistair M. ChalkCarl R. WalkleyBrian Liddicoat
- Journals
- Nature Methods (2 papers)Nature (2 papers)Experimental Hematology (2 papers)Molecular Biology and Evolution (2 papers)Science (2 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Robert Piskol
32 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Cancer Research 523
- Molecular Biology 2.3k
- Oncology 711
- Immunology 499
- Pathology and Forensic Medicine 170
Countries citing papers authored by Robert Piskol
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
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
The 25 scholars most cited alongside Robert Piskol, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 22 | |
| 4 | 2023 | 3 | |
| 5 | 2021 | 24 | |
| 6 | 2020 | 37 | |
| 7 | 2019 | 40 | |
| 8 | 2019 | 9 | |
| 9 | 2019 | 128 | |
| 10 | 2018 | 95 | |
| 11 | 2018 | 66 | |
| 12 | A distinct role for Lgr5+ stem cells in primary and metastatic colon cancer Hit paper breakdown → | 2017 | 558 |
| 13 | 2016 | 4 | |
| 14 | 2015 | 4 | |
| 15 | 2014 | 1 | |
| 16 | 2013 | 289 | |
| 17 | 2013 | 238 | |
| 18 | 2012 | 298 | |
| 19 | 2010 | 17 | |
| 20 | 2010 | 10 |
About Robert Piskol
Robert Piskol is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Urology, having authored 32 papers that have together received 3.0k indexed citations. Recurring topics across this work include RNA regulation and disease (9 papers), RNA Research and Splicing (9 papers), RNA and protein synthesis mechanisms (8 papers), CAR-T cell therapy research (4 papers), Genomics and Phylogenetic Studies (4 papers), Genomics and Chromatin Dynamics (4 papers), Immune Cell Function and Interaction (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (523 citations), Molecular Biology (2.3k citations), Oncology (711 citations), Immunology (499 citations) and Pathology and Forensic Medicine (170 citations). Robert Piskol has collaborated with scholars based in United States, Germany and France. Frequent 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. Their work appears in journals such as Nature Methods, Nature, Experimental Hematology, Molecular Biology and Evolution 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.