Gordon K. Smyth
Impact in
- Cancer Research top 0.01%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 0.01%
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- Gene expression and cancer classification
- Genomics and Chromatin Dynamics
Papers in
-
- Gene expression and cancer classification 48
- Epigenetics and DNA Methylation 31
- Genomics and Chromatin Dynamics 28
- Molecular Biology Techniques and Applications 23
- Oncology 52
- Cancer Cells and Metastasis 21
- Co-authors
- Wei Shi (32 shared papers)Davis J. McCarthy (8 shared papers)Mark D. Robinson (5 shared papers)Yang Liao (11 shared papers)Charity W. Law (10 shared papers)Yifang Hu (28 shared papers)Di Wu (5 shared papers)Matthew E. Ritchie (29 shared papers)
- Journals
- Nucleic Acids Research (15 papers)Blood (11 papers)Bioinformatics (11 papers)Nature Communications (10 papers)Cell Reports (10 papers)
- Partner nations
- AustraliaUnited StatesIreland
In The Last Decade
Gordon K. Smyth
340 papers receiving 130.8k citations
Gordon K. Smyth's Hit Papers
Peers
Comparison fields: 5 of 228
- Cancer Research 17.4k
- Molecular Biology 65.1k
- Immunology 16.6k
- Aging 1.3k
- Oncology 12.4k
Countries citing papers authored by Gordon K. Smyth
This map shows the geographic impact of Gordon K. Smyth'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 Gordon K. Smyth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gordon K. Smyth more than expected).
Fields of papers citing papers by Gordon K. Smyth
This network shows the impact of papers produced by Gordon K. Smyth. 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 Gordon K. Smyth. The network helps show where Gordon K. Smyth may publish in the future.
Co-authors
The 25 scholars most cited alongside Gordon K. Smyth, 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 347 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | edgeR : a Bioconductor package for differential expression analysis of digital gene expression data Hit paper breakdown → | 2009 | 28948 |
| 2 | limma powers differential expression analyses for RNA-sequencing and microarray studies Hit paper breakdown → | 2015 | 24718 |
| 3 | featureCounts: an efficient general purpose program for assigning sequence reads to genomic features Hit paper breakdown → | 2013 | 16256 |
| 4 | Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments Hit paper breakdown → | 2004 | 9588 |
| 5 | Gene ontology analysis for RNA-seq: accounting for selection bias Hit paper breakdown → | 2010 | 5372 |
| 6 | limma: Linear Models for Microarray Data Hit paper breakdown → | 2005 | 4651 |
| 7 | voom: precision weights unlock linear model analysis tools for RNA-seq read counts Hit paper breakdown → | 2014 | 3752 |
| 8 | Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation Hit paper breakdown → | 2012 | 3500 |
| 9 | The Subread aligner: fast, accurate and scalable read mapping by seed-and-vote Hit paper breakdown → | 2013 | 1964 |
| 10 | The R package Rsubread is easier, faster, cheaper and better for alignment and quantification of RNA sequencing reads Hit paper breakdown → | 2019 | 1647 |
| 11 | Generation of a functional mammary gland from a single stem cell Hit paper breakdown → | 2006 | 1611 |
| 12 | Normalization of cDNA microarray data Hit paper breakdown → | 2003 | 1530 |
| 13 | ELDA: Extreme limiting dilution analysis for comparing depleted and enriched populations in stem cell and other assays Hit paper breakdown → | 2009 | 1476 |
| 14 | Use of within-array replicate spots for assessing differential expression in microarray experiments Hit paper breakdown → | 2005 | 1145 |
| 15 | Aberrant luminal progenitors as the candidate target population for basal tumor development in BRCA1 mutation carriers Hit paper breakdown → | 2009 | 1098 |
| 16 | Count-based differential expression analysis of RNA sequencing data using R and Bioconductor Hit paper breakdown → | 2013 | 861 |
| 17 | Small-sample estimation of negative binomial dispersion, with applications to SAGE data Hit paper breakdown → | 2007 | 788 |
| 18 | A comparison of background correction methods for two-colour microarrays Hit paper breakdown → | 2007 | 747 |
| 19 | Randomized Quantile Residuals Hit paper breakdown → | 1996 | 746 |
| 20 | Moderated statistical tests for assessing differences in tag abundance Hit paper breakdown → | 2007 | 609 |
About Gordon K. Smyth
Gordon K. Smyth is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Statistics and Probability, having authored 347 papers that have together received 132.0k indexed citations. Recurring topics across this work include Gene expression and cancer classification (48 papers), Epigenetics and DNA Methylation (31 papers), T-cell and B-cell Immunology (31 papers), Genomics and Chromatin Dynamics (28 papers), Immune Cell Function and Interaction (28 papers), Statistical Methods and Bayesian Inference (23 papers), Molecular Biology Techniques and Applications (23 papers) and Cancer Cells and Metastasis (21 papers). The work is most often cited by research in Cancer Research (17.4k citations), Molecular Biology (65.1k citations), Immunology (16.6k citations), Aging (1.3k citations) and Oncology (12.4k citations). Gordon K. Smyth has collaborated with scholars based in Australia, United States and Ireland. Frequent co-authors include Wei Shi, Davis J. McCarthy, Mark D. Robinson, Yang Liao, Charity W. Law, Yifang Hu, Di Wu, Matthew E. Ritchie, Belinda Phipson and Yunshun Chen. Their work appears in journals such as Nucleic Acids Research, Blood, Bioinformatics, Nature Communications and Cell Reports.
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.