Chi Do
Impact in
- Nature and Landscape Conservation top 0.5%
- Fish Ecology and Management Studies
- Genetics top 0.2%
- Genetic diversity and population structure
- Genetic and phenotypic traits in livestock
Papers in
- Genetics 5
- Genetic diversity and population structure 4
- Genetic and phenotypic traits in livestock 4
- Evolution and Genetic Dynamics 2
- Genetic Mapping and Diversity in Plants and Animals 1
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- Fish Ecology and Management Studies 2
- Co-authors
- Robin S. Waples (6 shared papers)David Peel (2 shared papers)G. M. Macbeth (2 shared papers)Jennifer R. Ovenden (2 shared papers)Bree J. Tillett (1 shared paper)Shumin Zhang (1 shared paper)Sanghyeon Kim (1 shared paper)Howard K. Gershenfeld (1 shared paper)
- Journals
- Molecular Ecology Resources (3 papers)Canadian Journal of Fisheries and Aquatic Sciences (1 paper)Biological Psychiatry (1 paper)Evolutionary Applications (1 paper)Ecology (1 paper)
- Partner nations
- United StatesAustraliaIreland
In The Last Decade
Chi Do
7 papers receiving 3.8k citations
Chi Do's Hit Papers
Peers
Comparison fields: 5 of 77
- Nature and Landscape Conservation 1.5k
- Genetics 3.0k
- Ecology 1.6k
- Ecological Modeling 251
- Aquatic Science 357
Countries citing papers authored by Chi Do
This map shows the geographic impact of Chi Do'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 Chi Do with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi Do more than expected).
Fields of papers citing papers by Chi Do
This network shows the impact of papers produced by Chi Do. 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 Chi Do. The network helps show where Chi Do may publish in the future.
Co-authors
The 9 scholars most cited alongside Chi Do, 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 | 2013 | 1648 | |
| 2 | 2008 | 1114 | |
| 3 | Linkage disequilibrium estimates of contemporary Ne using highly variable genetic markers: a largely untapped resource for applied conservation and evolution Hit paper breakdown → | 2009 | 800 |
| 4 | 1994 | 117 | |
| 5 | 2011 | 86 | |
| 6 | 2012 | 66 | |
| 7 | 2008 | 25 |
About Chi Do
Chi Do is a scholar working on Genetics, Nature and Landscape Conservation, Molecular Biology, Aquatic Science and Ecology, Evolution, Behavior and Systematics, having authored 7 papers that have together received 3.9k indexed citations. Recurring topics across this work include Genetic diversity and population structure (4 papers), Genetic and phenotypic traits in livestock (4 papers), Evolution and Genetic Dynamics (2 papers), Fish Ecology and Management Studies (2 papers), Genomics and Phylogenetic Studies (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Fish Biology and Ecology Studies (1 paper) and Species Distribution and Climate Change (1 paper). The work is most often cited by research in Nature and Landscape Conservation (1.5k citations), Genetics (3.0k citations), Ecology (1.6k citations), Ecological Modeling (251 citations) and Aquatic Science (357 citations). Chi Do has collaborated with scholars based in United States, Australia and Ireland. Frequent co-authors include Robin S. Waples, David Peel, G. M. Macbeth, Jennifer R. Ovenden, Bree J. Tillett, Shumin Zhang, Sanghyeon Kim, Howard K. Gershenfeld and Kwang H. Choi. Their work appears in journals such as Molecular Ecology Resources, Canadian Journal of Fisheries and Aquatic Sciences, Biological Psychiatry, Evolutionary Applications and Ecology.
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.