Michael A. Gillette
Impact in
- Cancer Research top 0.05%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Molecular Biology top 0.05%
- RNA modifications and cancer
- Bioinformatics and Genomic Networks
- Epigenetics and DNA Methylation
- Gene expression and cancer classification
Papers in
- Spectroscopy 27
- Advanced Proteomics Techniques and Applications 27
- Mass Spectrometry Techniques and Applications 7
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- Cancer Genomics and Diagnostics 17
- Co-authors
- Eric S. Lander (2 shared papers)Todd R. Golub (2 shared papers)Amanda G. Paulovich (4 shared papers)Jill P. Mesirov (5 shared papers)Pablo Tamayo (3 shared papers)Benjamin L. Ebert (2 shared papers)Aravind N. Subramanian (1 shared paper)Vamsi Krishna Mootha (1 shared paper)
- Journals
- Cell (13 papers)Molecular & Cellular Proteomics (11 papers)Cancer Cell (8 papers)Journal of Stroke and Cerebrovascular Diseases (4 papers)Cell Reports Medicine (4 papers)
- Partner nations
- United StatesGermanyMozambique
In The Last Decade
Michael A. Gillette
82 papers receiving 54.1k citations
Michael A. Gillette's Hit Papers
Peers
Comparison fields: 5 of 198
- Cancer Research 9.3k
- Molecular Biology 29.5k
- Immunology 6.6k
- Oncology 7.9k
- Spectroscopy 4.1k
Countries citing papers authored by Michael A. Gillette
This map shows the geographic impact of Michael A. Gillette'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 Michael A. Gillette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael A. Gillette more than expected).
Fields of papers citing papers by Michael A. Gillette
This network shows the impact of papers produced by Michael A. Gillette. 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 Michael A. Gillette. The network helps show where Michael A. Gillette may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael A. Gillette, 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 89 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 | Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses Hit paper breakdown → | 2001 | 2120 |
| 3 | Protein biomarker discovery and validation: the long and uncertain path to clinical utility Hit paper breakdown → | 2006 | 1532 |
| 4 | Proteogenomics connects somatic mutations to signalling in breast cancer Hit paper breakdown → | 2016 | 1294 |
| 5 | Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer Hit paper breakdown → | 2016 | 798 |
| 6 | Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities Hit paper breakdown → | 2019 | 590 |
| 7 | Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma Hit paper breakdown → | 2020 | 572 |
| 8 | Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma Hit paper breakdown → | 2019 | 549 |
| 9 | Integrated proteomic analysis of post-translational modifications by serial enrichment Hit paper breakdown → | 2013 | 523 |
| 10 | Proteogenomic and metabolomic characterization of human glioblastoma Hit paper breakdown → | 2021 | 456 |
| 11 | Proteogenomic characterization of pancreatic ductal adenocarcinoma Hit paper breakdown → | 2021 | 399 |
| 12 | Proteogenomic Landscape of Breast Cancer Tumorigenesis and Targeted Therapy Hit paper breakdown → | 2020 | 388 |
| 13 | 2012 | 383 | |
| 14 | Reproducible workflow for multiplexed deep-scale proteome and phosphoproteome analysis of tumor tissues by liquid chromatography–mass spectrometry Hit paper breakdown → | 2018 | 363 |
| 15 | Proteogenomic Characterization of Endometrial Carcinoma Hit paper breakdown → | 2020 | 354 |
| 16 | 2014 | 328 | |
| 17 | A proteogenomic portrait of lung squamous cell carcinoma Hit paper breakdown → | 2021 | 272 |
| 18 | 2021 | 251 | |
| 19 | 2013 | 246 | |
| 20 | 2018 | 233 |
About Michael A. Gillette
Michael A. Gillette is a scholar working on Spectroscopy, Cancer Research, Molecular Biology, Oncology and Pulmonary and Respiratory Medicine, having authored 89 papers that have together received 54.8k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (27 papers), Cancer Genomics and Diagnostics (17 papers), Bioinformatics and Genomic Networks (10 papers), RNA modifications and cancer (8 papers), Ferroptosis and cancer prognosis (8 papers), Ubiquitin and proteasome pathways (7 papers), Mass Spectrometry Techniques and Applications (7 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Cancer Research (9.3k citations), Molecular Biology (29.5k citations), Immunology (6.6k citations), Oncology (7.9k citations) and Spectroscopy (4.1k citations). Michael A. Gillette has collaborated with scholars based in United States, Germany and Mozambique. Frequent co-authors include Eric S. Lander, Todd R. Golub, Amanda G. Paulovich, Jill P. Mesirov, Pablo Tamayo, Benjamin L. Ebert, Aravind N. Subramanian, Vamsi Krishna Mootha, Scott L. Pomeroy and Sayan Mukherjee. Their work appears in journals such as Cell, Molecular & Cellular Proteomics, Cancer Cell, Journal of Stroke and Cerebrovascular Diseases and Cell Reports Medicine.
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.