Jonathan K. Pritchard
- Genetics top 0.01%
- Genetic Associations and Epidemiology 56
- Genetic Mapping and Diversity in Plants and Animals 35
- Genetic and phenotypic traits in livestock 24
- Genetic diversity and population structure 18
- Evolution and Genetic Dynamics 14
- Nature and Landscape Conservation top 0.05%
- Ecological Modeling top 0.1%
- Ecology top 0.02%
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- Genomics and Chromatin Dynamics 30
- RNA Research and Splicing 22
- RNA and protein synthesis mechanisms 19
- Co-authors
- Matthew StephensPeter DonnellyDaniel FalushJoseph K. PickrellNoah A. RosenbergYoav GiladYang LiSridhar Kudaravalli
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Jonathan K. Pritchard
176 papers receiving 75.6k citations
Hit Papers
Peers
Comparison fields: 5 of 217
- Genetics 47.6k
- Nature and Landscape Conservation 6.6k
- Ecological Modeling 2.2k
- Ecology, Evolution, Behavior and Systematics 8.8k
- Ecology 11.6k
Countries citing papers authored by Jonathan K. Pritchard
This map shows the geographic impact of Jonathan K. Pritchard'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 K. Pritchard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan K. Pritchard more than expected).
Fields of papers citing papers by Jonathan K. Pritchard
This network shows the impact of papers produced by Jonathan K. Pritchard. 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 K. Pritchard. The network helps show where Jonathan K. Pritchard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jonathan K. Pritchard, 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 | 2022 | 95 | |
| 2 | 2020 | 149 | |
| 3 | Variable prediction accuracy of polygenic scores within an ancestry groupbreakdown → | 2020 | 225 |
| 4 | 2019 | 209 | |
| 5 | 2018 | 71 | |
| 6 | 2017 | 29 | |
| 7 | 2017 | 65 | |
| 8 | 2016 | 233 | |
| 9 | 2016 | 9 | |
| 10 | 2016 | 123 | |
| 11 | RNA splicing is a primary link between genetic variation and diseasebreakdown → | 2016 | 382 |
| 12 | 2016 | 109 | |
| 13 | 2016 | 42 | |
| 14 | fastSTRUCTURE: Variational Inference of Population Structure in Large SNP Data Setsbreakdown → | 2014 | 1149 |
| 15 | 2014 | 53 | |
| 16 | 2011 | 102 | |
| 17 | 2010 | 192 | |
| 18 | Sequencing and Analysis of Neanderthal Genomic DNAbreakdown → | 2006 | 359 |
| 19 | 2004 | 94 | |
| 20 | Traces of Human Migrations in Helicobacter pylori Populationsbreakdown → | 2003 | 742 |
About Jonathan K. Pritchard
Jonathan K. Pritchard is a scholar working on Genetics, Molecular Biology and Cancer Research, having authored 182 papers that have together received 77.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (56 papers), Genetic Mapping and Diversity in Plants and Animals (35 papers), Genomics and Chromatin Dynamics (30 papers), Genetic and phenotypic traits in livestock (24 papers), RNA Research and Splicing (22 papers), RNA and protein synthesis mechanisms (19 papers), Genetic diversity and population structure (18 papers) and Evolution and Genetic Dynamics (14 papers). The work is most often cited by research in Genetics (47.6k citations), Nature and Landscape Conservation (6.6k citations) and Ecological Modeling (2.2k citations). Jonathan K. Pritchard has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Matthew Stephens, Peter Donnelly, Daniel Falush, Joseph K. Pickrell, Noah A. Rosenberg, Yoav Gilad, Yang Li, Sridhar Kudaravalli, Xiaoquan Wen and Benjamin F. Voight. Their work appears in journals such as Nature, Science and Cell.
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.