Jonathan Terhorst

2.7k citations
27 papers · 1.2k · 1 hit paper · h-index 11

Impact in

  • Genetics top 2%
    • Genetic diversity and population structure
    • Forensic and Genetic Research
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals
    • Evolution and Genetic Dynamics
    • Genetic Associations and Epidemiology
    • Archaeology and ancient environmental studies

Papers in

    • Genetic diversity and population structure 11
    • Forensic and Genetic Research 6
    • Genetic Mapping and Diversity in Plants and Animals 6
    • Genetic and phenotypic traits in livestock 5
    • Genetic Associations and Epidemiology 5
    • Evolution and Genetic Dynamics 4
    • Genomics and Phylogenetic Studies 6
    • Gene expression and cancer classification 2

Jonathan Terhorst

23 papers receiving 1.1k citations

Jonathan Terhorst's Hit Papers

Robust and scalable inference of population history from hundreds of unphased whole genomes 2016 · 514 citations
5140+3+6Years since publication100200300400500

Peers

Jonathan Terhorst
Comparison fields: 5 of 115
  • Genetics 724
  • Paleontology 123
  • Ecological Modeling 46
  • Anthropology 80
  • Archeology 65
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Jonathan Terhorst relative to Jack Kamm United States Jack Kamm's profile →
Citations per field
00.5×3.7×
Jack Kamm · 1×
Citations per year

Countries citing papers authored by Jonathan Terhorst

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Terhorst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan Terhorst, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Terhorst Line = papers co-authored together Jonathan Terhorst links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Robust and scalable inference of population history from hundreds of unphased whole genomes
Hit paper breakdown →
2016514
2 2018183
3 201993
4 201565
5
Communication-Efficient Distributed Dual Coordinate Ascent
201451
6 202347
7 201546
8 201844
9 201429
10 202225
11 202218
12 20238
13 20226
14 20165
15 20255
16 20145
17 20234
18 20234
19 20223
20
SMASH: A Benchmarking Toolkit for Variant Calling
20132

About Jonathan Terhorst

Jonathan Terhorst is a scholar working on Genetics, Molecular Biology, Artificial Intelligence, Paleontology and Economics and Econometrics, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic diversity and population structure (11 papers), Forensic and Genetic Research (6 papers), Genomics and Phylogenetic Studies (6 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Genetic and phenotypic traits in livestock (5 papers), Genetic Associations and Epidemiology (5 papers), Evolution and Genetic Dynamics (4 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Genetics (724 citations), Paleontology (123 citations), Ecological Modeling (46 citations), Anthropology (80 citations) and Archeology (65 citations). Jonathan Terhorst has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Yun S. Song, Jack Kamm, Richard Durbin, Christian Schlötterer, Iain Mathieson, Pier Francesco Palamara, Alkes L. Price, Ludovic Orlando, Ripan S. Malhi and Joel D. Irish. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics, Journal of the American Statistical Association, Bioinformatics and Molecular Biology and Evolution.

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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