Chip Stewart
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
Papers in
-
- Genomics and Phylogenetic Studies 6
- Molecular Biology Techniques and Applications 3
-
- Lymphoma Diagnosis and Treatment 7
- Genetic factors in colorectal cancer 5
- Co-authors
- Gad Getz (29 shared papers)Gábor Marth (6 shared papers)Michael S. Lawrence (4 shared papers)Matthew Meyerson (4 shared papers)Carrie Sougnez (3 shared papers)Michael P. Strömberg (3 shared papers)Erik Garrison (2 shared papers)Ivan Pal (1 shared paper)
- Journals
- Blood (10 papers)Cancer Research (6 papers)Genome Research (4 papers)Clinical Cancer Research (2 papers)BMC Bioinformatics (2 papers)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Chip Stewart
39 papers receiving 2.3k citations
Chip Stewart's Hit Papers
Peers
Comparison fields: 5 of 108
- Cancer Research 567
- Pathology and Forensic Medicine 312
- Molecular Biology 1.3k
- Genetics 459
- Plant Science 410
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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | RNA sequence analysis reveals macroscopic somatic clonal expansion across normal tissues Hit paper breakdown → | 2019 | 321 |
| 2 | 2012 | 269 | |
| 3 | 2013 | 258 | |
| 4 | 2011 | 223 | |
| 5 | 2014 | 196 | |
| 6 | 2018 | 187 | |
| 7 | 2000 | 179 | |
| 8 | 2014 | 163 | |
| 9 | 2013 | 100 | |
| 10 | 2012 | 86 | |
| 11 | 2015 | 81 | |
| 12 | 2019 | 63 | |
| 13 | 2015 | 52 | |
| 14 | 2018 | 28 | |
| 15 | 2011 | 21 | |
| 16 | 2012 | 21 | |
| 17 | 2019 | 19 | |
| 18 | 2023 | 17 | |
| 19 | 2023 | 10 | |
| 20 | 2014 | 6 |
About Chip Stewart
Chip Stewart is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cancer Research, Genetics and Oncology, having authored 41 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (12 papers), Lymphoma Diagnosis and Treatment (7 papers), Genomics and Phylogenetic Studies (6 papers), Genetic factors in colorectal cancer (5 papers), Chromosomal and Genetic Variations (4 papers), Genomic variations and chromosomal abnormalities (3 papers), Molecular Biology Techniques and Applications (3 papers) and Multiple Myeloma Research and Treatments (3 papers). The work is most often cited by research in Cancer Research (567 citations), Pathology and Forensic Medicine (312 citations), Molecular Biology (1.3k citations), Genetics (459 citations) and Plant Science (410 citations). Chip Stewart has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Gad Getz, Gábor Marth, Michael S. Lawrence, Matthew Meyerson, Carrie Sougnez, Michael P. Strömberg, Erik Garrison, Ivan Pal, Robert G. Norman and Joyce A. Walsleben. Their work appears in journals such as Blood, Cancer Research, Genome Research, Clinical Cancer Research and BMC Bioinformatics.
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.