Scott L. Pomeroy
Impact in
- Genetics top 0.02%
- Glioma Diagnosis and Treatment
- Cancer Research top 0.05%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
Papers in
- Genetics 69
- Glioma Diagnosis and Treatment 69
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- MicroRNA in disease regulation 15
- Cancer Genomics and Diagnostics 11
- Co-authors
- Pablo Tamayo (9 shared papers)Jill P. Mesirov (6 shared papers)Todd R. Golub (2 shared papers)Aravind N. Subramanian (2 shared papers)Vamsi Krishna Mootha (1 shared paper)Amanda G. Paulovich (1 shared paper)Sayan Mukherjee (1 shared paper)Eric S. Lander (1 shared paper)
- Journals
- Acta Neuropathologica (11 papers)Cancer Cell (10 papers)Nature (9 papers)Journal of Clinical Oncology (7 papers)Neuro-Oncology (6 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Scott L. Pomeroy
172 papers receiving 65.0k citations
Scott L. Pomeroy's Hit Papers
Peers
Comparison fields: 5 of 203
- Genetics 10.0k
- Cancer Research 11.7k
- Molecular Biology 36.4k
- Immunology 6.8k
- Oncology 8.1k
Countries citing papers authored by Scott L. Pomeroy
This map shows the geographic impact of Scott L. Pomeroy'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 Scott L. Pomeroy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott L. Pomeroy more than expected).
Fields of papers citing papers by Scott L. Pomeroy
This network shows the impact of papers produced by Scott L. Pomeroy. 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 Scott L. Pomeroy. The network helps show where Scott L. Pomeroy may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott L. Pomeroy, 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 176 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles Hit paper breakdown → | 2005 | 39413 |
| 2 | The landscape of somatic copy-number alteration across human cancers Hit paper breakdown → | 2010 | 3151 |
| 3 | Prediction of central nervous system embryonal tumour outcome based on gene expression Hit paper breakdown → | 2002 | 1944 |
| 4 | Molecular subgroups of medulloblastoma: the current consensus Hit paper breakdown → | 2011 | 1484 |
| 5 | Tumour microvesicles contain retrotransposon elements and amplified oncogene sequences Hit paper breakdown → | 2011 | 1043 |
| 6 | The whole-genome landscape of medulloblastoma subtypes Hit paper breakdown → | 2017 | 840 |
| 7 | Molecular subgroups of medulloblastoma: an international meta-analysis of transcriptome, genetic aberrations, and clinical data of WNT, SHH, Group 3, and Group 4 medulloblastomas Hit paper breakdown → | 2012 | 808 |
| 8 | Gene expression-based classification of malignant gliomas correlates better with survival than histological classification. Hit paper breakdown → | 2003 | 788 |
| 9 | Subgroup-specific structural variation across 1,000 medulloblastoma genomes Hit paper breakdown → | 2012 | 731 |
| 10 | Dissecting the genomic complexity underlying medulloblastoma Hit paper breakdown → | 2012 | 702 |
| 11 | Recurrent somatic alterations of FGFR1 and NTRK2 in pilocytic astrocytoma Hit paper breakdown → | 2013 | 657 |
| 12 | Medulloblastoma exome sequencing uncovers subtype-specific somatic mutations Hit paper breakdown → | 2012 | 631 |
| 13 | Genome Sequencing of SHH Medulloblastoma Predicts Genotype-Related Response to Smoothened Inhibition Hit paper breakdown → | 2014 | 617 |
| 14 | Integrative Genomic Analysis of Medulloblastoma Identifies a Molecular Subgroup That Drives Poor Clinical Outcome Hit paper breakdown → | 2010 | 579 |
| 15 | Epigenetic Antagonism between Polycomb and SWI/SNF Complexes during Oncogenic Transformation Hit paper breakdown → | 2010 | 538 |
| 16 | 2012 | 529 | |
| 17 | Risk stratification of childhood medulloblastoma in the molecular era: the current consensus Hit paper breakdown → | 2016 | 494 |
| 18 | Epigenomic alterations define lethal CIMP-positive ependymomas of infancy Hit paper breakdown → | 2014 | 485 |
| 19 | 2010 | 477 | |
| 20 | Medulloblastoma Hit paper breakdown → | 2019 | 466 |
About Scott L. Pomeroy
Scott L. Pomeroy is a scholar working on Genetics, Cancer Research, Molecular Biology, Neurology and Cellular and Molecular Neuroscience, having authored 176 papers that have together received 66.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (69 papers), Hedgehog Signaling Pathway Studies (30 papers), Chromatin Remodeling and Cancer (26 papers), Epigenetics and DNA Methylation (16 papers), MicroRNA in disease regulation (15 papers), Cancer Genomics and Diagnostics (11 papers), Genomics and Chromatin Dynamics (10 papers) and Pituitary Gland Disorders and Treatments (10 papers). The work is most often cited by research in Genetics (10.0k citations), Cancer Research (11.7k citations), Molecular Biology (36.4k citations), Immunology (6.8k citations) and Oncology (8.1k citations). Scott L. Pomeroy has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Pablo Tamayo, Jill P. Mesirov, Todd R. Golub, Aravind N. Subramanian, Vamsi Krishna Mootha, Amanda G. Paulovich, Sayan Mukherjee, Eric S. Lander, Michael A. Gillette and Benjamin L. Ebert. Their work appears in journals such as Acta Neuropathologica, Cancer Cell, Nature, Journal of Clinical Oncology and Neuro-Oncology.
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.