Chi Do

4.7k total citations · 3 hit papers
7 papers, 3.8k citations indexed

About

Chi Do is a scholar working on Genetics, Molecular Biology and Nature and Landscape Conservation. According to data from OpenAlex, Chi Do has authored 7 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 2 papers in Molecular Biology and 2 papers in Nature and Landscape Conservation. Recurrent topics in Chi Do's work include Genetic diversity and population structure (4 papers), Genetic and phenotypic traits in livestock (4 papers) and Evolution and Genetic Dynamics (2 papers). Chi Do is often cited by papers focused on Genetic diversity and population structure (4 papers), Genetic and phenotypic traits in livestock (4 papers) and Evolution and Genetic Dynamics (2 papers). Chi Do collaborates with scholars based in United States, Australia and Ireland. Chi Do's co-authors include Robin S. Waples, Jennifer R. Ovenden, G. M. Macbeth, David Peel, Bree J. Tillett, Kwang H. Choi, Shumin Zhang, Howard K. Gershenfeld and Sanghyeon Kim and has published in prestigious journals such as Ecology, Biological Psychiatry and Canadian Journal of Fisheries and Aquatic Sciences.

In The Last Decade

Chi Do

7 papers receiving 3.7k citations

Hit Papers

NeEstimator v2: re‐implementation of software for the est... 2008 2026 2014 2020 2013 2008 2009 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chi Do United States 7 3.0k 1.6k 1.5k 565 502 7 3.8k
Linda Laikre Sweden 34 2.9k 1.0× 1.6k 1.0× 1.8k 1.2× 890 1.6× 921 1.8× 106 4.4k
John K. Wenburg United States 20 2.0k 0.7× 1.3k 0.8× 1.7k 1.2× 490 0.9× 392 0.8× 49 3.2k
Paulo A. Prodöhl United Kingdom 30 2.1k 0.7× 1.7k 1.1× 1.7k 1.1× 601 1.1× 742 1.5× 107 4.3k
John Carlos Garza United States 34 3.3k 1.1× 1.7k 1.0× 2.1k 1.4× 1.0k 1.8× 664 1.3× 118 4.9k
Carol A. Reeb United States 9 2.0k 0.7× 1.4k 0.8× 941 0.6× 1.1k 2.0× 662 1.3× 12 3.5k
Suzanne Edmands United States 29 2.0k 0.7× 1.4k 0.9× 710 0.5× 651 1.2× 598 1.2× 63 3.5k
Ciro Rico Spain 38 1.8k 0.6× 1.7k 1.1× 1.5k 1.0× 910 1.6× 935 1.9× 110 4.1k
Paul Spruell United States 18 1.8k 0.6× 970 0.6× 1.4k 0.9× 342 0.6× 236 0.5× 26 2.6k
Oliver Berry Australia 31 1.3k 0.4× 1.9k 1.2× 788 0.5× 942 1.7× 609 1.2× 81 3.2k
John P. Wares United States 31 1.5k 0.5× 2.3k 1.4× 635 0.4× 760 1.3× 1.2k 2.4× 111 4.2k

Countries citing papers authored by Chi Do

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Chi Do

This figure shows the co-authorship network connecting the top 25 collaborators of Chi Do. A scholar is included among the top collaborators of Chi Do based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chi Do. Chi Do is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Do, Chi, Robin S. Waples, David Peel, et al.. (2013). NeEstimator v2: re‐implementation of software for the estimation of contemporary effective population size (Ne) from genetic data. Molecular Ecology Resources. 14(1). 209–214. 1609 indexed citations breakdown →
2.
Peel, David, Robin S. Waples, G. M. Macbeth, Chi Do, & Jennifer R. Ovenden. (2012). Accounting for missing data in the estimation of contemporary genetic effective population size (Ne). Molecular Ecology Resources. 13(2). 243–253. 63 indexed citations
3.
Waples, Robin S., et al.. (2011). CalculatingNeandNe/Nin age-structured populations: a hybrid Felsenstein-Hill approach. Ecology. 92(7). 1513–1522. 86 indexed citations
4.
Waples, Robin S. & Chi Do. (2009). Linkage disequilibrium estimates of contemporary Ne using highly variable genetic markers: a largely untapped resource for applied conservation and evolution. Evolutionary Applications. 3(3). 244–262. 789 indexed citations breakdown →
6.
Waples, Robin S. & Chi Do. (2008). ldne: a program for estimating effective population size from data on linkage disequilibrium. Molecular Ecology Resources. 8(4). 753–756. 1106 indexed citations breakdown →
7.
Waples, Robin S. & Chi Do. (1994). Genetic Risk Associated with Supplementation of Pacific Salmonids: Captive Broodstock Programs. Canadian Journal of Fisheries and Aquatic Sciences. 51(S1). 310–329. 117 indexed citations

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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