Gavin Ha
Impact in
- Cancer Research top 1%
- Cancer Genomics and Diagnostics
- Oncology top 5%
- Cancer Cells and Metastasis
Papers in
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- Cancer Genomics and Diagnostics 30
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- RNA Research and Splicing 4
- Genomics and Chromatin Dynamics 4
- Co-authors
- Sohrab P. Shah (13 shared papers)Samuel Aparício (9 shared papers)Andrew Roth (4 shared papers)David G. Huntsman (9 shared papers)Todd R. Golub (6 shared papers)Alexandre Bouchard‐Côté (2 shared papers)Justina Biele (1 shared paper)Damian Yap (1 shared paper)
- Journals
- Nature Communications (4 papers)JCO Precision Oncology (4 papers)JCI Insight (3 papers)Journal of Clinical Oncology (3 papers)Bioinformatics (2 papers)
- Partner nations
- United StatesCanadaSouth Africa
In The Last Decade
Gavin Ha
52 papers receiving 3.4k citations
Gavin Ha's Hit Papers
Peers
Comparison fields: 5 of 104
- Cancer Research 1.5k
- Oncology 830
- Molecular Biology 1.5k
- Pathology and Forensic Medicine 332
- Reproductive Medicine 159
Countries citing papers authored by Gavin Ha
This map shows the geographic impact of Gavin Ha'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 Gavin Ha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavin Ha more than expected).
Fields of papers citing papers by Gavin Ha
This network shows the impact of papers produced by Gavin Ha. 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 Gavin Ha. The network helps show where Gavin Ha may publish in the future.
Co-authors
The 25 scholars most cited alongside Gavin Ha, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PyClone: statistical inference of clonal population structure in cancer Hit paper breakdown → | 2014 | 602 |
| 2 | Patient-derived xenografts undergo mouse-specific tumor evolution Hit paper breakdown → | 2017 | 531 |
| 3 | 2011 | 341 | |
| 4 | 2012 | 219 | |
| 5 | 2020 | 169 | |
| 6 | 2012 | 162 | |
| 7 | 2010 | 162 | |
| 8 | 2012 | 130 | |
| 9 | 2015 | 124 | |
| 10 | 2016 | 107 | |
| 11 | 2018 | 88 | |
| 12 | 2017 | 86 | |
| 13 | 2020 | 74 | |
| 14 | 2015 | 70 | |
| 15 | 2020 | 64 | |
| 16 | 2010 | 57 | |
| 17 | 2023 | 53 | |
| 18 | 2019 | 48 | |
| 19 | 2021 | 37 | |
| 20 | 2016 | 37 |
About Gavin Ha
Gavin Ha is a scholar working on Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Genetics, having authored 55 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (30 papers), Prostate Cancer Treatment and Research (9 papers), Genetic factors in colorectal cancer (5 papers), RNA Research and Splicing (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Genomics and Chromatin Dynamics (4 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Cancer Research (1.5k citations), Oncology (830 citations), Molecular Biology (1.5k citations), Pathology and Forensic Medicine (332 citations) and Reproductive Medicine (159 citations). Gavin Ha has collaborated with scholars based in United States, Canada and South Africa. Frequent co-authors include Sohrab P. Shah, Samuel Aparício, Andrew Roth, David G. Huntsman, Todd R. Golub, Alexandre Bouchard‐Côté, Justina Biele, Damian Yap, Bang Wong and Emma Laks. Their work appears in journals such as Nature Communications, JCO Precision Oncology, JCI Insight, Journal of Clinical Oncology and 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.