Travis Zack
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Cancer Research top 1%
- Cancer Genomics and Diagnostics
Papers in
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- Artificial Intelligence in Healthcare and Education 8
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- Ubiquitin and proteasome pathways 2
- RNA modifications and cancer 2
- Co-authors
- Rameen Beroukhim (8 shared papers)Scott L. Carter (3 shared papers)Gad Getz (3 shared papers)Hui Shen (2 shared papers)Peter W. Laird (2 shared papers)Matthew Meyerson (2 shared papers)Steven E. Schumacher (5 shared papers)Barbara A. Weir (3 shared papers)
- Journals
- Journal of Clinical Oncology (3 papers)JCO Clinical Cancer Informatics (2 papers)Nature Genetics (2 papers)Neuro-Oncology (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Travis Zack
26 papers receiving 3.5k citations
Travis Zack's Hit Papers
Peers
Comparison fields: 5 of 112
- Health Informatics 186
- Cancer Research 1.4k
- Molecular Biology 1.7k
- Oncology 588
- Pathology and Forensic Medicine 311
Countries citing papers authored by Travis Zack
This map shows the geographic impact of Travis Zack'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 Travis Zack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis Zack more than expected).
Fields of papers citing papers by Travis Zack
This network shows the impact of papers produced by Travis Zack. 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 Travis Zack. The network helps show where Travis Zack may publish in the future.
Co-authors
The 25 scholars most cited alongside Travis Zack, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Pan-cancer patterns of somatic copy number alteration Hit paper breakdown → | 2013 | 1260 |
| 2 | Absolute quantification of somatic DNA alterations in human cancer Hit paper breakdown → | 2012 | 1163 |
| 3 | 2023 | 252 | |
| 4 | 2012 | 162 | |
| 5 | 2014 | 135 | |
| 6 | 2016 | 115 | |
| 7 | 2013 | 92 | |
| 8 | 2012 | 79 | |
| 9 | 2024 | 78 | |
| 10 | 2024 | 35 | |
| 11 | 2018 | 34 | |
| 12 | 2024 | 27 | |
| 13 | 2020 | 13 | |
| 14 | 2020 | 13 | |
| 15 | 2025 | 8 | |
| 16 | 2024 | 8 | |
| 17 | 2023 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2022 | 4 | |
| 20 | 2024 | 4 |
About Travis Zack
Travis Zack is a scholar working on Health Informatics, Molecular Biology, Cancer Research, Artificial Intelligence and Genetics, having authored 32 papers that have together received 3.5k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (8 papers), Cancer Genomics and Diagnostics (3 papers), Ubiquitin and proteasome pathways (2 papers), Machine Learning in Healthcare (2 papers), Electronic Health Records Systems (2 papers), Genetic factors in colorectal cancer (2 papers), RNA modifications and cancer (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Health Informatics (186 citations), Cancer Research (1.4k citations), Molecular Biology (1.7k citations), Oncology (588 citations) and Pathology and Forensic Medicine (311 citations). Travis Zack has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Rameen Beroukhim, Scott L. Carter, Gad Getz, Hui Shen, Peter W. Laird, Matthew Meyerson, Steven E. Schumacher, Barbara A. Weir, Stacey Gabriel and Eric S. Lander. Their work appears in journals such as Journal of Clinical Oncology, JCO Clinical Cancer Informatics, Nature Genetics, Neuro-Oncology and Scientific Reports.
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.