Yu-Ping Poh

1.5k total citations · 1 hit paper
11 papers, 1.1k citations indexed

About

Yu-Ping Poh is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Yu-Ping Poh has authored 11 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 7 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Yu-Ping Poh's work include Genetic diversity and population structure (6 papers), Genetic and phenotypic traits in livestock (5 papers) and Evolution and Genetic Dynamics (3 papers). Yu-Ping Poh is often cited by papers focused on Genetic diversity and population structure (6 papers), Genetic and phenotypic traits in livestock (5 papers) and Evolution and Genetic Dynamics (3 papers). Yu-Ping Poh collaborates with scholars based in United States, Switzerland and Taiwan. Yu-Ping Poh's co-authors include Jeffrey D. Jensen, Hopi E. Hoekstra, David J Begun, Charles H. Langley, Eugene W. Myers, LaDeana W. Hillier, Corbin D. Jones, Alisha K. Holloway, Kristian Stevens and Colin N. Dewey and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yu-Ping Poh

10 papers receiving 1.1k citations

Hit Papers

Population Genomics: Whole-Genome Analysis of Polymorphis... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu-Ping Poh United States 9 752 413 187 181 118 11 1.1k
Mathieu Gautier France 22 1.2k 1.5× 443 1.1× 138 0.7× 319 1.8× 117 1.0× 33 1.6k
Andre J. Aberer Germany 11 458 0.6× 479 1.2× 410 2.2× 201 1.1× 160 1.4× 15 1.1k
Eric L. Cabot United States 10 378 0.5× 419 1.0× 122 0.7× 235 1.3× 192 1.6× 12 940
Frantz Depaulis France 16 901 1.2× 389 0.9× 251 1.3× 247 1.4× 222 1.9× 25 1.3k
Daren C. Card United States 24 802 1.1× 475 1.2× 285 1.5× 238 1.3× 273 2.3× 43 1.4k
Licia Colli Italy 25 1.3k 1.7× 306 0.7× 135 0.7× 192 1.1× 129 1.1× 61 1.7k
Cécile Berthouly‐Salazar France 19 509 0.7× 178 0.4× 179 1.0× 261 1.4× 123 1.0× 39 1.0k
Ying Zhen United States 14 284 0.4× 302 0.7× 166 0.9× 257 1.4× 109 0.9× 29 798
Ellen M. Leffler United States 5 649 0.9× 442 1.1× 133 0.7× 212 1.2× 108 0.9× 12 969
Fábio K. Mendes United States 11 384 0.5× 456 1.1× 155 0.8× 238 1.3× 94 0.8× 17 858

Countries citing papers authored by Yu-Ping Poh

Since Specialization
Citations

This map shows the geographic impact of Yu-Ping Poh'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 Yu-Ping Poh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Ping Poh more than expected).

Fields of papers citing papers by Yu-Ping Poh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Ping Poh. 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 Yu-Ping Poh. The network helps show where Yu-Ping Poh may publish in the future.

Co-authorship network of co-authors of Yu-Ping Poh

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Ping Poh. A scholar is included among the top collaborators of Yu-Ping Poh 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 Yu-Ping Poh. Yu-Ping Poh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
2.
Foll, Matthieu, Yu-Ping Poh, Nicholas Renzette, et al.. (2014). Influenza Virus Drug Resistance: A Time-Sampled Population Genetics Perspective. PLoS Genetics. 10(2). e1004185–e1004185. 94 indexed citations
3.
Poh, Yu-Ping, Vera Domingues, Hopi E. Hoekstra, & Jeffrey D. Jensen. (2014). On the Prospect of Identifying Adaptive Loci in Recently Bottlenecked Populations. PLoS ONE. 9(11). e110579–e110579. 46 indexed citations
4.
Linnen, Catherine R., Yu-Ping Poh, Brant K. Peterson, et al.. (2013). Adaptive Evolution of Multiple Traits Through Multiple Mutations at a Single Gene. Science. 339(6125). 1312–1316. 214 indexed citations
5.
Poh, Yu-Ping, et al.. (2013). The impact of equilibrium assumptions on tests of selection. Frontiers in Genetics. 4. 235–235. 53 indexed citations
6.
Renzette, Nicholas, Daniel R. Caffrey, Konstantin B. Zeldovich, et al.. (2013). Evolution of the Influenza A Virus Genome during Development of Oseltamivir ResistanceIn Vitro. Journal of Virology. 88(1). 272–281. 41 indexed citations
7.
Domingues, Vera, Yu-Ping Poh, Brant K. Peterson, et al.. (2012). EVIDENCE OF ADAPTATION FROM ANCESTRAL VARIATION IN YOUNG POPULATIONS OF BEACH MICE. Evolution. 66(10). 3209–3223. 50 indexed citations
8.
Poh, Yu-Ping, Chau‐Ti Ting, Hua‐Wen Fu, Charles H. Langley, & David J Begun. (2012). Population Genomic Analysis of Base Composition Evolution in Drosophila melanogaster. Genome Biology and Evolution. 4(12). 1245–1255. 15 indexed citations
9.
Dincer, Aslihan, et al.. (2011). On Detecting Selective Sweeps Using Single Genomes. SHILAP Revista de lepidopterología. 2. 85–85. 2 indexed citations
10.
Begun, David J, Alisha K. Holloway, Kristian Stevens, et al.. (2007). Population Genomics: Whole-Genome Analysis of Polymorphism and Divergence in Drosophila simulans. PLoS Biology. 5(11). e310–e310. 514 indexed citations breakdown →
11.
Poh, Yu-Ping, et al.. (2001). A Phylogeny of Freshwater Eels Inferred from Mitochondrial Genes. Molecular Phylogenetics and Evolution. 20(2). 252–261. 42 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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