Gavin Ha

52 papers receiving 3.2k citations

Hit Papers

Patient-derived xenografts undergo mouse-specific tumor evolution 2017 · 517 citations
5172014202620182022100200300400500

Peers

Gavin Ha
Comparison fields: 5 of 112
  • Cancer Research 1.6k
  • Oncology 951
  • Molecular Biology 1.7k
  • Pathology and Forensic Medicine 407
  • Pulmonary and Respiratory Medicine 688
Replace Helen Davies with:
Helen Davies United Kingdom
Steven E. Schumacher United States
Maria Isabel Achatz Brazil
Volker Endris Germany
Bedia A. Barkoh United States
Yusuke Nakamura Japan
Mark Sausen United States
K. Hacène France
Maryou B. Lambros United Kingdom
Farbod Darvishian United States
Gavin Ha relative to Helen Davies United Kingdom Helen Davies's profile →
Citations per field
00.5×1.5×2.0×
Helen Davies · 1×
Citations per year

Countries citing papers authored by Gavin Ha

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Gavin Ha Line = papers co-authored together Gavin Ha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 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 →
2014575
2
Patient-derived xenografts undergo mouse-specific tumor evolution
Hit paper breakdown →
2017517
3 2011325
4 2012210
5 2020163
6 2012152
7 2010145
8 2012117
9 2015116
10 2016102
11 201785
12 201884
13 202071
14 201569
15 202064
16 201052
17 202346
18 201946
19 201637
20 202137

About Gavin Ha

Gavin Ha is a scholar working on Cancer Research, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Molecular Biology and Oncology, having authored 54 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (31 papers), Genetic factors in colorectal cancer (8 papers), Prostate Cancer Treatment and Research (8 papers), Epigenetics and DNA Methylation (5 papers), Genomics and Phylogenetic Studies (4 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (4 papers) and Genomic variations and chromosomal abnormalities (4 papers). The work is most often cited by research in Cancer Research (1.6k citations), Oncology (951 citations), Molecular Biology (1.7k citations), Pathology and Forensic Medicine (407 citations) and Pulmonary and Respiratory Medicine (688 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, Bang Wong, Alexandre Bouchard‐Côté, Justina Biele, Damian Yap and Jaswinder Khattra. Their work appears in journals such as Nature Communications, JCO Precision Oncology, Journal of Clinical Oncology, JCI Insight and Cancer Discovery.

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.

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