Robert Gentleman
Impact in
- Cancer Research top 0.05%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 0.1%
- Circular RNAs in diseases
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- RNA Research and Splicing
- Extracellular vesicles in disease
Papers in
-
- Gene expression and cancer classification 32
- Bioinformatics and Genomic Networks 20
- Genetics, Bioinformatics, and Biomedical Research 9
- Single-cell and spatial transcriptomics 8
- Molecular Biology Techniques and Applications 7
- Genomics and Chromatin Dynamics 6
- Gene Regulatory Network Analysis 6
-
- Statistical Methods and Inference 10
- Co-authors
- Ross Ihaka (6 shared papers)Wolfgang Huber (16 shared papers)Seth Falcon (5 shared papers)Vincent J. Carey (11 shared papers)Michael Lawrence (7 shared papers)Martin Morgan (5 shared papers)Hervé Pagès (2 shared papers)Muneesh Tewari (4 shared papers)
- Journals
- Bioinformatics (19 papers)Journal of Computational and Graphical Statistics (8 papers)Journal of the American Statistical Association (8 papers)Developmental Cell (3 papers)Canadian Journal of Statistics (3 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Robert Gentleman
112 papers receiving 33.6k citations
Robert Gentleman's Hit Papers
Peers
Comparison fields: 5 of 230
- Cancer Research 6.7k
- Molecular Biology 16.2k
- Statistics and Probability 1.1k
- Genetics 3.3k
- Aging 182
Countries citing papers authored by Robert Gentleman
This map shows the geographic impact of Robert Gentleman'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 Gentleman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Gentleman more than expected).
Fields of papers citing papers by Robert Gentleman
This network shows the impact of papers produced by Robert Gentleman. 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 Gentleman. The network helps show where Robert Gentleman may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Gentleman, 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | R: A Language for Data Analysis and Graphics Hit paper breakdown → | 1996 | 8565 |
| 2 | Circulating microRNAs as stable blood-based markers for cancer detection Hit paper breakdown → | 2008 | 6567 |
| 3 | R: A Language for Data Analysis and Graphics Hit paper breakdown → | 1996 | 3453 |
| 4 | Bioinformatics and Computational Biology Solutions Using R and Bioconductor Hit paper breakdown → | 2005 | 2845 |
| 5 | Software for Computing and Annotating Genomic Ranges Hit paper breakdown → | 2013 | 2603 |
| 6 | Using GOstats to test gene lists for GO term association Hit paper breakdown → | 2006 | 1509 |
| 7 | A Model-Based Background Adjustment for Oligonucleotide Expression Arrays Hit paper breakdown → | 2004 | 1393 |
| 8 | arrayQualityMetrics—a bioconductor package for quality assessment of microarray data Hit paper breakdown → | 2008 | 690 |
| 9 | rtracklayer: an R package for interfacing with genome browsers Hit paper breakdown → | 2009 | 506 |
| 10 | 2010 | 495 | |
| 11 | 2009 | 401 | |
| 12 | 2009 | 398 | |
| 13 | 2010 | 390 | |
| 14 | 2011 | 340 | |
| 15 | 2003 | 251 | |
| 16 | 2008 | 247 | |
| 17 | 2003 | 220 | |
| 18 | Bioinformatics and Computational Biology Solutions Using R and Bioconductor (Statistics for Biology and Health) | 2005 | 214 |
| 19 | 2007 | 180 | |
| 20 | 2006 | 158 |
About Robert Gentleman
Robert Gentleman is a scholar working on Molecular Biology, Statistics and Probability, Genetics, Cancer Research and Artificial Intelligence, having authored 116 papers that have together received 34.5k indexed citations. Recurring topics across this work include Gene expression and cancer classification (32 papers), Bioinformatics and Genomic Networks (20 papers), Statistical Methods and Inference (10 papers), Genetics, Bioinformatics, and Biomedical Research (9 papers), Single-cell and spatial transcriptomics (8 papers), Molecular Biology Techniques and Applications (7 papers), Genomics and Chromatin Dynamics (6 papers) and Gene Regulatory Network Analysis (6 papers). The work is most often cited by research in Cancer Research (6.7k citations), Molecular Biology (16.2k citations), Statistics and Probability (1.1k citations), Genetics (3.3k citations) and Aging (182 citations). Robert Gentleman has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ross Ihaka, Wolfgang Huber, Seth Falcon, Vincent J. Carey, Michael Lawrence, Martin Morgan, Hervé Pagès, Muneesh Tewari, Rachael K. Parkin and Stacia K. Wyman. Their work appears in journals such as Bioinformatics, Journal of Computational and Graphical Statistics, Journal of the American Statistical Association, Developmental Cell and Canadian Journal of Statistics.
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.