Robert Pilarski
Impact in
- Cancer Research top 0.1%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Oncology top 0.2%
Papers in
-
- Cancer Genomics and Diagnostics 31
- Genetics 41
- BRCA gene mutations in cancer 30
- Genomics and Rare Diseases 7
- Co-authors
- Mohamed H. Abdel‐Rahman (14 shared papers)Colleen M. Cebulla (11 shared papers)Charis Eng (9 shared papers)Frederick H. Davidorf (12 shared papers)James B. Massengill (8 shared papers)Elisabeth Swisher (1 shared paper)R. Burt (1 shared paper)Lana N. Pho (1 shared paper)
- Journals
- Cell Reports (11 papers)Cell (9 papers)Journal of the National Comprehensive Cancer Network (8 papers)Familial Cancer (6 papers)The American Journal of Human Genetics (6 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Robert Pilarski
118 papers receiving 27.4k citations
Robert Pilarski's Hit Papers
Peers
Comparison fields: 5 of 162
- Cancer Research 7.7k
- Oncology 6.3k
- Molecular Biology 13.5k
- Genetics 4.3k
- Pulmonary and Respiratory Medicine 4.4k
Countries citing papers authored by Robert Pilarski
This map shows the geographic impact of Robert Pilarski'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 Pilarski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Pilarski more than expected).
Fields of papers citing papers by Robert Pilarski
This network shows the impact of papers produced by Robert Pilarski. 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 Pilarski. The network helps show where Robert Pilarski may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Pilarski, 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 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics Hit paper breakdown → | 2018 | 2602 |
| 2 | Oncogenic Signaling Pathways in The Cancer Genome Atlas Hit paper breakdown → | 2018 | 2334 |
| 3 | Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer Hit paper breakdown → | 2018 | 1720 |
| 4 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 1714 |
| 5 | Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation Hit paper breakdown → | 2018 | 1617 |
| 6 | Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas Hit paper breakdown → | 2018 | 810 |
| 7 | Genomic and Functional Approaches to Understanding Cancer Aneuploidy Hit paper breakdown → | 2018 | 749 |
| 8 | Integrative Analysis Identifies Four Molecular and Clinical Subsets in Uveal Melanoma Hit paper breakdown → | 2017 | 719 |
| 9 | Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients Hit paper breakdown → | 2018 | 685 |
| 10 | 2005 | 643 | |
| 11 | Pathogenic Germline Variants in 10,389 Adult Cancers Hit paper breakdown → | 2018 | 606 |
| 12 | Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines Hit paper breakdown → | 2018 | 583 |
| 13 | The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma Hit paper breakdown → | 2018 | 569 |
| 14 | NCCN Guidelines Insights: Genetic/Familial High-Risk Assessment: Breast and Ovarian, Version 2.2017 Hit paper breakdown → | 2016 | 537 |
| 15 | Inherited Mutations in 17 Breast Cancer Susceptibility Genes Among a Large Triple-Negative Breast Cancer Cohort Unselected for Family History of Breast Cancer Hit paper breakdown → | 2014 | 521 |
| 16 | 2010 | 483 | |
| 17 | A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers Hit paper breakdown → | 2018 | 456 |
| 18 | Driver Fusions and Their Implications in the Development and Treatment of Human Cancers Hit paper breakdown → | 2018 | 451 |
| 19 | The Immune Landscape of Cancer Hit paper breakdown → | 2019 | 449 |
| 20 | 2013 | 425 |
About Robert Pilarski
Robert Pilarski is a scholar working on Cancer Research, Genetics, Ophthalmology, Oncology and Molecular Biology, having authored 121 papers that have together received 27.8k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (31 papers), BRCA gene mutations in cancer (30 papers), PI3K/AKT/mTOR signaling in cancer (17 papers), Genetic factors in colorectal cancer (15 papers), Ocular Oncology and Treatments (15 papers), Cancer-related Molecular Pathways (9 papers), Genomics and Rare Diseases (7 papers) and Genomics and Chromatin Dynamics (6 papers). The work is most often cited by research in Cancer Research (7.7k citations), Oncology (6.3k citations), Molecular Biology (13.5k citations), Genetics (4.3k citations) and Pulmonary and Respiratory Medicine (4.4k citations). Robert Pilarski has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Mohamed H. Abdel‐Rahman, Colleen M. Cebulla, Charis Eng, Frederick H. Davidorf, James B. Massengill, Elisabeth Swisher, R. Burt, Lana N. Pho, Kristen Mahoney Shannon and Karan Rai. Their work appears in journals such as Cell Reports, Cell, Journal of the National Comprehensive Cancer Network, Familial Cancer and The American Journal of Human Genetics.
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.