Monique Albert
Impact in
- Cancer Research top 0.02%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Oncology top 0.05%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Cancer Genomics and Diagnostics 40
- Cancer-related molecular mechanisms research 7
- Oncology 23
- Cancer-related Molecular Pathways 8
- Co-authors
- Pascale F Macgregor (9 shared papers)Jeremy Andrew Squire (8 shared papers)Ben Beheshti (7 shared papers)Barry P. Rosen (3 shared papers)Jean-Louis Laurent Rocca (3 shared papers)Gérard Crétier (3 shared papers)Joan Murphy (2 shared papers)John M.S. Bartlett (2 shared papers)
- Journals
- Cell Reports (12 papers)Cell (11 papers)Nature Communications (11 papers)Nature (11 papers)Cancer Cell (6 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Monique Albert
90 papers receiving 50.8k citations
Monique Albert's Hit Papers
Peers
Comparison fields: 5 of 178
- Cancer Research 15.7k
- Oncology 14.5k
- Molecular Biology 24.0k
- Pulmonary and Respiratory Medicine 10.3k
- Pathology and Forensic Medicine 4.1k
Countries citing papers authored by Monique Albert
This map shows the geographic impact of Monique Albert'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 Monique Albert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monique Albert more than expected).
Fields of papers citing papers by Monique Albert
This network shows the impact of papers produced by Monique Albert. 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 Monique Albert. The network helps show where Monique Albert may publish in the future.
Co-authors
The 25 scholars most cited alongside Monique Albert, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comprehensive molecular characterization of gastric adenocarcinoma Hit paper breakdown → | 2014 | 5209 |
| 2 | Comprehensive molecular profiling of lung adenocarcinoma Hit paper breakdown → | 2014 | 4550 |
| 3 | The Immune Landscape of Cancer Hit paper breakdown → | 2018 | 4331 |
| 4 | An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics Hit paper breakdown → | 2018 | 2602 |
| 5 | Genomic Classification of Cutaneous Melanoma Hit paper breakdown → | 2015 | 2509 |
| 6 | The repertoire of mutational signatures in human cancer Hit paper breakdown → | 2020 | 2339 |
| 7 | Oncogenic Signaling Pathways in The Cancer Genome Atlas Hit paper breakdown → | 2018 | 2334 |
| 8 | Pan-cancer analysis of whole genomes Hit paper breakdown → | 2020 | 2109 |
| 9 | Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer Hit paper breakdown → | 2017 | 1931 |
| 10 | Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer Hit paper breakdown → | 2018 | 1720 |
| 11 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 1714 |
| 12 | Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation Hit paper breakdown → | 2018 | 1617 |
| 13 | Integrated Genomic Characterization of Pancreatic Ductal Adenocarcinoma Hit paper breakdown → | 2017 | 1559 |
| 14 | Integrated genomic and molecular characterization of cervical cancer Hit paper breakdown → | 2017 | 1221 |
| 15 | Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas Hit paper breakdown → | 2018 | 810 |
| 16 | Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images Hit paper breakdown → | 2018 | 761 |
| 17 | Genomic and Functional Approaches to Understanding Cancer Aneuploidy Hit paper breakdown → | 2018 | 749 |
| 18 | The evolutionary history of 2,658 cancers Hit paper breakdown → | 2020 | 705 |
| 19 | Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients Hit paper breakdown → | 2018 | 685 |
| 20 | Pathogenic Germline Variants in 10,389 Adult Cancers Hit paper breakdown → | 2018 | 606 |
About Monique Albert
Monique Albert is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 90 papers that have together received 51.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (40 papers), Genetic factors in colorectal cancer (15 papers), RNA modifications and cancer (11 papers), RNA Research and Splicing (9 papers), Genomics and Chromatin Dynamics (8 papers), Cancer-related Molecular Pathways (8 papers), Cancer-related molecular mechanisms research (7 papers) and Epigenetics and DNA Methylation (7 papers). The work is most often cited by research in Cancer Research (15.7k citations), Oncology (14.5k citations), Molecular Biology (24.0k citations), Pulmonary and Respiratory Medicine (10.3k citations) and Pathology and Forensic Medicine (4.1k citations). Monique Albert has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Pascale F Macgregor, Jeremy Andrew Squire, Ben Beheshti, Barry P. Rosen, Jean-Louis Laurent Rocca, Gérard Crétier, Joan Murphy, John M.S. Bartlett, Paul B.S. Lai and Nathalie Wong. Their work appears in journals such as Cell Reports, Cell, Nature Communications, Nature and Cancer Cell.
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.