Arbel Harpak

2.1k total citations · 1 hit paper
20 papers, 857 citations indexed

About

Arbel Harpak is a scholar working on Genetics, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Arbel Harpak has authored 20 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 7 papers in Molecular Biology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Arbel Harpak's work include Genetic Associations and Epidemiology (10 papers), Genetic and phenotypic traits in livestock (6 papers) and Evolution and Genetic Dynamics (5 papers). Arbel Harpak is often cited by papers focused on Genetic Associations and Epidemiology (10 papers), Genetic and phenotypic traits in livestock (6 papers) and Evolution and Genetic Dynamics (5 papers). Arbel Harpak collaborates with scholars based in United States, United Kingdom and Denmark. Arbel Harpak's co-authors include Jonathan K. Pritchard, Hakhamanesh Mostafavi, Molly Przeworski, Dalton Conley, Ipsita Agarwal, Yair Field, Nasa Sinnott-Armstrong, Xinjun Zhang, Graham Coop and Jeremy J. Berg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Current Biology.

In The Last Decade

Arbel Harpak

19 papers receiving 848 citations

Hit Papers

Variable prediction accuracy of polygenic scores within a... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arbel Harpak United States 11 544 310 115 40 39 20 857
Florian Zink Iceland 10 354 0.7× 352 1.1× 71 0.6× 87 2.2× 21 0.5× 10 790
Jason P. Sinnwell United States 17 324 0.6× 273 0.9× 136 1.2× 36 0.9× 136 3.5× 58 867
Andrés Moreno‐Estrada United States 15 895 1.6× 313 1.0× 53 0.5× 70 1.8× 46 1.2× 35 1.4k
Saioa López United Kingdom 14 226 0.4× 186 0.6× 113 1.0× 25 0.6× 66 1.7× 25 653
Abra Brisbin United States 12 525 1.0× 223 0.7× 61 0.5× 35 0.9× 39 1.0× 18 928
Urko M. Marigorta Spain 16 506 0.9× 319 1.0× 61 0.5× 77 1.9× 41 1.1× 29 812
Laurent C. Francioli United States 9 573 1.1× 540 1.7× 126 1.1× 93 2.3× 29 0.7× 11 990
Tábita Hünemeier Brazil 17 476 0.9× 187 0.6× 28 0.2× 24 0.6× 24 0.6× 51 909
Alessio Boattini Italy 20 511 0.9× 374 1.2× 79 0.7× 92 2.3× 13 0.3× 56 1.1k
Bryndís Yngvadóttir United Kingdom 13 478 0.9× 321 1.0× 52 0.5× 29 0.7× 15 0.4× 18 832

Countries citing papers authored by Arbel Harpak

Since Specialization
Citations

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

Fields of papers citing papers by Arbel Harpak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arbel Harpak. 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 Arbel Harpak. The network helps show where Arbel Harpak may publish in the future.

Co-authorship network of co-authors of Arbel Harpak

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

All Works

20 of 20 papers shown
1.
Cheng, Changde, et al.. (2025). No evidence for sex-differential transcriptomes driving genome-wide sex-differential natural selection. The American Journal of Human Genetics. 112(2). 254–260.
2.
Carlson, Jedidiah, et al.. (2024). The battle of the sexes in humans is highly polygenic. Proceedings of the National Academy of Sciences. 121(39). e2412315121–e2412315121. 1 indexed citations
3.
Smith, Samuel Pattillo, et al.. (2024). Discovering non-additive heritability using additive GWAS summary statistics. eLife. 13. 3 indexed citations
4.
Smith, Samuel Pattillo, et al.. (2024). Trade-offs in modeling context dependency in complex trait genetics. eLife. 13. 1 indexed citations
5.
Hou, Kangcheng, Ziqi Xu, Yi Ding, et al.. (2024). Calibrated prediction intervals for polygenic scores across diverse contexts. Nature Genetics. 56(7). 1386–1396. 13 indexed citations
6.
Edge, Michael D., et al.. (2023). Amplification is the primary mode of gene-by-sex interaction in complex human traits. Cell Genomics. 3(5). 100297–100297. 38 indexed citations
7.
Kirkpatrick, Mark, et al.. (2022). Amplification is the Primary Mode of Gene-by-Sex Interaction in Complex Human Traits. SSRN Electronic Journal. 7 indexed citations
8.
Yu, Qinqin, et al.. (2021). Mutability of demographic noise in microbial range expansions. The ISME Journal. 15(9). 2643–2654. 8 indexed citations
9.
Harpak, Arbel & Michael D. Edge. (2021). GWAS deems parents guilty by association. Proceedings of the National Academy of Sciences. 118(27). 2 indexed citations
10.
Yang, Lu, Arbel Harpak, Julie Peng, et al.. (2021). Concerted evolution reveals co-adapted amino acid substitutions in Na+K+-ATPase of frogs that prey on toxic toads. Current Biology. 31(12). 2530–2538.e10. 20 indexed citations
11.
Mostafavi, Hakhamanesh, Arbel Harpak, Ipsita Agarwal, et al.. (2020). Variable prediction accuracy of polygenic scores within an ancestry group. eLife. 9. 225 indexed citations breakdown →
12.
Harpak, Arbel, Nandita R. Garud, Noah A. Rosenberg, et al.. (2020). Genetic Adaptation in New York City Rats. Genome Biology and Evolution. 13(1). 15 indexed citations
13.
Berg, Jeremy J., Arbel Harpak, Nasa Sinnott-Armstrong, et al.. (2019). Reduced signal for polygenic adaptation of height in UK Biobank. eLife. 8. 209 indexed citations
14.
García, Víctor, et al.. (2018). Clonal interference can cause wavelet-like oscillations of multilocus linkage disequilibrium. Journal of The Royal Society Interface. 15(140). 20170921–20170921. 5 indexed citations
15.
Gao, Ziyue, et al.. (2018). Evidence for Weak Selective Constraint on Human Gene Expression. Genetics. 211(2). 757–772. 36 indexed citations
16.
Harpak, Arbel, Xun Lan, Ziyue Gao, & Jonathan K. Pritchard. (2017). Frequent nonallelic gene conversion on the human lineage and its effect on the divergence of gene duplicates. Proceedings of the National Academy of Sciences. 114(48). 12779–12784. 29 indexed citations
17.
Sun, Ruping, Zheng Hu, Andrea Sottoriva, et al.. (2017). Between-region genetic divergence reflects the mode and tempo of tumor evolution. Nature Genetics. 49(7). 1015–1024. 92 indexed citations
18.
Raj, Anil, Sidney H. Wang, Heejung Shim, et al.. (2016). Thousands of novel translated open reading frames in humans inferred by ribosome footprint profiling. eLife. 5. 109 indexed citations
19.
Harpak, Arbel, Anand Bhaskar, & Jonathan K. Pritchard. (2016). Mutation Rate Variation is a Primary Determinant of the Distribution of Allele Frequencies in Humans. PLoS Genetics. 12(12). e1006489–e1006489. 42 indexed citations
20.
Harpak, Arbel & Guy Sella. (2014). NEUTRAL NULL MODELS FOR DIVERSITY IN SERIAL TRANSFER EVOLUTION EXPERIMENTS. Evolution. 68(9). 2727–2736. 2 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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