Chip Stewart
Impact in
- Cancer Research top 0.05%
- Cancer Genomics and Diagnostics
- Oncology top 0.1%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Cancer Genomics and Diagnostics 38
- Genetics 12
- Chronic Lymphocytic Leukemia Research 11
- Genomic variations and chromosomal abnormalities 9
- Co-authors
- Gad A. Getz (15 shared papers)Gábor Marth (5 shared papers)Ivan Pal (1 shared paper)Joyce A. Walsleben (1 shared paper)David M. Rapoport (1 shared paper)Robert G. Norman (1 shared paper)Michael P. Strömberg (2 shared papers)Alistair N. Ward (1 shared paper)
- Journals
- Nature (17 papers)Nature Communications (17 papers)Nature Genetics (15 papers)Blood (11 papers)Cell (5 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Chip Stewart
122 papers receiving 53.1k citations
Chip Stewart's Hit Papers
Peers
Comparison fields: 5 of 184
- Cancer Research 11.3k
- Oncology 8.8k
- Pulmonary and Respiratory Medicine 8.2k
- Genetics 7.6k
- Genetics 2.2k
Countries citing papers authored by Chip Stewart
This map shows the geographic impact of Chip Stewart'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 Chip Stewart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chip Stewart more than expected).
Fields of papers citing papers by Chip Stewart
This network shows the impact of papers produced by Chip Stewart. 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 Chip Stewart. The network helps show where Chip Stewart may publish in the future.
Co-authors
The 25 scholars most cited alongside Chip Stewart, 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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A map of human genome variation from population-scale sequencing Hit paper breakdown → | 2010 | 6377 |
| 2 | Comprehensive molecular profiling of lung adenocarcinoma Hit paper breakdown → | 2014 | 4597 |
| 3 | Mutational heterogeneity in cancer and the search for new cancer-associated genes Hit paper breakdown → | 2013 | 4312 |
| 4 | Comprehensive molecular characterization of clear cell renal cell carcinoma Hit paper breakdown → | 2013 | 2853 |
| 5 | The Molecular Taxonomy of Primary Prostate Cancer Hit paper breakdown → | 2015 | 2464 |
| 6 | Integrated Genomic Characterization of Papillary Thyroid Carcinoma Hit paper breakdown → | 2014 | 2459 |
| 7 | The repertoire of mutational signatures in human cancer Hit paper breakdown → | 2020 | 2401 |
| 8 | Pan-cancer analysis of whole genomes Hit paper breakdown → | 2020 | 2169 |
| 9 | Prospective Derivation of a Living Organoid Biobank of Colorectal Cancer Patients Hit paper breakdown → | 2015 | 1953 |
| 10 | Integrated Genomic Characterization of Pancreatic Ductal Adenocarcinoma Hit paper breakdown → | 2017 | 1585 |
| 11 | Molecular subtypes of diffuse large B cell lymphoma are associated with distinct pathogenic mechanisms and outcomes Hit paper breakdown → | 2018 | 1462 |
| 12 | Evolution and Impact of Subclonal Mutations in Chronic Lymphocytic Leukemia Hit paper breakdown → | 2013 | 1132 |
| 13 | The genetic landscape of high-risk neuroblastoma Hit paper breakdown → | 2013 | 944 |
| 14 | Mapping copy number variation by population-scale genome sequencing Hit paper breakdown → | 2011 | 860 |
| 15 | Mutations driving CLL and their evolution in progression and relapse Hit paper breakdown → | 2015 | 850 |
| 16 | Genomic Correlates of Immune-Cell Infiltrates in Colorectal Carcinoma Hit paper breakdown → | 2016 | 801 |
| 17 | Scalable whole-exome sequencing of cell-free DNA reveals high concordance with metastatic tumors Hit paper breakdown → | 2017 | 758 |
| 18 | Landscape of genomic alterations in cervical carcinomas Hit paper breakdown → | 2013 | 732 |
| 19 | The evolutionary history of 2,658 cancers Hit paper breakdown → | 2020 | 730 |
| 20 | Exome and whole-genome sequencing of esophageal adenocarcinoma identifies recurrent driver events and mutational complexity Hit paper breakdown → | 2013 | 622 |
About Chip Stewart
Chip Stewart is a scholar working on Cancer Research, Genetics, Hematology, Oncology and Pathology and Forensic Medicine, having authored 125 papers that have together received 53.8k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (38 papers), Chronic Lymphocytic Leukemia Research (11 papers), Multiple Myeloma Research and Treatments (9 papers), Genomic variations and chromosomal abnormalities (9 papers), Lymphoma Diagnosis and Treatment (9 papers), Genomics and Phylogenetic Studies (7 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Esophageal Cancer Research and Treatment (4 papers). The work is most often cited by research in Cancer Research (11.3k citations), Oncology (8.8k citations), Pulmonary and Respiratory Medicine (8.2k citations), Genetics (7.6k citations) and Genetics (2.2k citations). Chip Stewart has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Gad A. Getz, Gábor Marth, Ivan Pal, Joyce A. Walsleben, David M. Rapoport, Robert G. Norman, Michael P. Strömberg, Alistair N. Ward, Erik P. Garrison and Carrie L. Sougnez. Their work appears in journals such as Nature, Nature Communications, Nature Genetics, Blood and 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.