Colby Chiang
Impact in
- Genetics top 1%
- Genomic variations and chromosomal abnormalities
- Genomics and Rare Diseases
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
- Genetics 11
- Genomic variations and chromosomal abnormalities 8
- Genomics and Rare Diseases 4
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- Genomics and Chromatin Dynamics 5
- Genomics and Phylogenetic Studies 4
- CRISPR and Genetic Engineering 2
- Gene expression and cancer classification 2
- Co-authors
- Ira M. HallRyan M. LayerAaron R. QuinlanAlexandra J. ScottGregory G. FaustErik GarrisonGábor MarthMichael Lindberg
- Journals
- The American Journal of Human Genetics (2 papers)Nature (2 papers)Nature Methods (1 paper)Nature Genetics (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Colby Chiang
16 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Genetics 1.3k
- Cancer Research 379
- Molecular Biology 1.3k
- Plant Science 489
- Horticulture 5
Countries citing papers authored by Colby Chiang
This map shows the geographic impact of Colby Chiang'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 Colby Chiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colby Chiang more than expected).
Fields of papers citing papers by Colby Chiang
This network shows the impact of papers produced by Colby Chiang. 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 Colby Chiang. The network helps show where Colby Chiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Colby Chiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 60 | |
| 2 | 2020 | 148 | |
| 3 | 2019 | 33 | |
| 4 | 2018 | 38 | |
| 5 | The impact of structural variation on human gene expression Hit paper breakdown → | 2017 | 264 |
| 6 | 2017 | 144 | |
| 7 | 2017 | 9 | |
| 8 | 2016 | 1 | |
| 9 | 2016 | 2 | |
| 10 | 2015 | 333 | |
| 11 | LUMPY: a probabilistic framework for structural variant discovery Hit paper breakdown → | 2014 | 867 |
| 12 | 2013 | 28 | |
| 13 | 2013 | 17 | |
| 14 | 2013 | 51 | |
| 15 | 2013 | 37 | |
| 16 | 2011 | 120 |
About Colby Chiang
Colby Chiang is a scholar working on Genetics, Molecular Biology, Cancer Research, Cell Biology and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (8 papers), Genomics and Chromatin Dynamics (5 papers), Genomics and Rare Diseases (4 papers), Genomics and Phylogenetic Studies (4 papers), CRISPR and Genetic Engineering (2 papers), Chromosomal and Genetic Variations (2 papers), Cancer Genomics and Diagnostics (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Genetics (1.3k citations), Cancer Research (379 citations), Molecular Biology (1.3k citations), Plant Science (489 citations) and Horticulture (5 citations). Colby Chiang has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ira M. Hall, Ryan M. Layer, Aaron R. Quinlan, Alexandra J. Scott, Gregory G. Faust, Erik Garrison, Gábor Marth, Michael Lindberg, Xin Li and Joe R. Davis. Their work appears in journals such as The American Journal of Human Genetics, Nature, Nature Methods, Nature Genetics 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.