John Novembre

26.9k total citations · 6 hit papers
85 papers, 11.9k citations indexed

About

John Novembre is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, John Novembre has authored 85 papers receiving a total of 11.9k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Genetics, 15 papers in Molecular Biology and 12 papers in Ecology. Recurrent topics in John Novembre's work include Genetic Associations and Epidemiology (31 papers), Genetic diversity and population structure (28 papers) and Genetic Mapping and Diversity in Plants and Animals (27 papers). John Novembre is often cited by papers focused on Genetic Associations and Epidemiology (31 papers), Genetic diversity and population structure (28 papers) and Genetic Mapping and Diversity in Plants and Animals (27 papers). John Novembre collaborates with scholars based in United States, Germany and United Kingdom. John Novembre's co-authors include Kenneth Lange, David H. Alexander, Matthew Stephens, Desislava Petkova, Alison P. Galvani, Adam R. Boyko, Carlos D. Bustamante, Anna Di Rienzo, Matthew R. Nelson and Graham Coop and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

John Novembre

84 papers receiving 11.7k citations

Hit Papers

Fast model-based estimati... 2008 2026 2014 2020 2009 2008 2009 2015 2018 1000 2.0k 3.0k 4.0k 5.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Novembre United States 41 8.3k 2.8k 1.6k 1.5k 830 85 11.9k
Anders Albrechtsen Denmark 39 5.5k 0.7× 3.2k 1.1× 1.3k 0.8× 910 0.6× 641 0.8× 118 8.7k
David H. Alexander United States 8 5.4k 0.7× 4.2k 1.5× 1.6k 1.0× 2.3k 1.5× 745 0.9× 10 10.7k
Graham Coop United States 46 7.3k 0.9× 3.2k 1.1× 870 0.5× 1.4k 1.0× 1000 1.2× 84 10.1k
Melissa J. Hubisz United States 33 6.7k 0.8× 4.9k 1.7× 1.4k 0.8× 1.6k 1.1× 1.0k 1.3× 37 10.9k
Anna Di Rienzo United States 48 5.4k 0.6× 3.2k 1.2× 798 0.5× 622 0.4× 506 0.6× 118 9.4k
Adam Auton United States 24 11.0k 1.3× 7.9k 2.8× 1.5k 0.9× 3.8k 2.5× 1.3k 1.6× 34 19.4k
Oliver A. Ryder United States 51 6.1k 0.7× 5.4k 1.9× 2.8k 1.7× 2.5k 1.7× 1.6k 2.0× 233 13.0k
Richard R. Hudson United States 42 7.5k 0.9× 4.7k 1.7× 1.4k 0.8× 2.7k 1.8× 1.4k 1.7× 62 12.2k
Cornelis A. Albers Netherlands 14 6.0k 0.7× 4.2k 1.5× 1.3k 0.8× 2.9k 1.9× 1.2k 1.4× 19 10.8k
Ryk Ward United States 46 7.9k 1.0× 4.0k 1.4× 919 0.6× 749 0.5× 354 0.4× 79 14.5k

Countries citing papers authored by John Novembre

Since Specialization
Citations

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

Fields of papers citing papers by John Novembre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Novembre

This figure shows the co-authorship network connecting the top 25 collaborators of John Novembre. A scholar is included among the top collaborators of John Novembre 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 John Novembre. John Novembre 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.
Rice, Daniel P., et al.. (2025). Detecting deviations from Kingman coalescence using 2-site frequency spectra. Genetics. 229(4).
2.
Cotter, Daniel J., E. Hofgard, John Novembre, Zachary A. Szpiech, & Noah A. Rosenberg. (2023). A rarefaction approach for measuring population differences in rare and common variation. Genetics. 224(2). 1 indexed citations
3.
Skeen, Heather R., David E. Willard, Andrew W. Jones, et al.. (2023). Intestinal microbiota of Nearctic‐Neotropical migratory birds vary more over seasons and years than between host species. Molecular Ecology. 32(12). 3290–3307. 11 indexed citations
4.
Vecchyo, Diego Ortega‐Del, Kirk E. Lohmueller, & John Novembre. (2022). Haplotype-based inference of the distribution of fitness effects. Genetics. 220(4). 3 indexed citations
5.
Biddanda, Arjun, Matthias Steinrücken, & John Novembre. (2022). Properties of 2-locus genealogies and linkage disequilibrium in temporally structured samples. Genetics. 221(1). 3 indexed citations
6.
Petr, Martin, et al.. (2022). Modeling the spatiotemporal spread of beneficial alleles using ancient genomes. eLife. 11. 8 indexed citations
7.
Marcus, Joseph, et al.. (2021). Fast and flexible estimation of effective migration surfaces. eLife. 10. 43 indexed citations
8.
Biddanda, Arjun, Daniel P. Rice, & John Novembre. (2020). A variant-centric perspective on geographic patterns of human allele frequency variation. eLife. 9. 37 indexed citations
9.
Jeong, Choongwon, David Witonsky, Buddha Basnyat, et al.. (2018). Detecting past and ongoing natural selection among ethnically Tibetan women at high altitude in Nepal. PLoS Genetics. 14(9). e1007650–e1007650. 47 indexed citations
10.
Al-Asadi, Hussein, Kushal K. Dey, John Novembre, & Matthew Stephens. (2018). Inference and visualization of DNA damage patterns using a grade of membership model. Bioinformatics. 35(8). 1292–1298. 4 indexed citations
11.
Smith, Joel, Graham Coop, Matthew Stephens, & John Novembre. (2018). Estimating Time to the Common Ancestor for a Beneficial Allele. Molecular Biology and Evolution. 35(4). 1003–1017. 37 indexed citations
12.
Dickson, Brett G., Christine M. Albano, Ranjan Anantharaman, et al.. (2018). Circuit‐theory applications to connectivity science and conservation. Conservation Biology. 33(2). 239–249. 287 indexed citations breakdown →
13.
Serres‐Armero, Aitor, Inna Povolotskaya, Javier Quilez, et al.. (2017). Similar genomic proportions of copy number variation within gray wolves and modern dog breeds inferred from whole genome sequencing. BMC Genomics. 18(1). 977–977. 20 indexed citations
14.
Marcus, Joseph & John Novembre. (2016). Visualizing the geography of genetic variants. Bioinformatics. 33(4). 594–595. 68 indexed citations
15.
Kessner, Darren & John Novembre. (2015). Power Analysis of Artificial Selection Experiments Using Efficient Whole Genome Simulation of Quantitative Traits. Genetics. 199(4). 991–1005. 37 indexed citations
16.
Yang, Wen-Yun, Alexander Platt, Charleston W. K. Chiang, et al.. (2014). Spatial Localization of Recent Ancestors for Admixed Individuals. G3 Genes Genomes Genetics. 4(12). 2505–2518. 12 indexed citations
17.
Yang, Wen-Yun, John Novembre, Eleazar Eskin, & Eran Halperin. (2012). A model-based approach for analysis of spatial structure in genetic data. Nature Genetics. 44(6). 725–731. 98 indexed citations
18.
Novembre, John & Anna Di Rienzo. (2009). Spatial patterns of variation due to natural selection in humans. Nature Reviews Genetics. 10(11). 745–755. 152 indexed citations
19.
Alexander, David H., John Novembre, & Kenneth Lange. (2009). Fast model-based estimation of ancestry in unrelated individuals. Genome Research. 19(9). 1655–1664. 5635 indexed citations breakdown →
20.
Coop, Graham, Joseph K. Pickrell, John Novembre, et al.. (2009). The Role of Geography in Human Adaptation. PLoS Genetics. 5(6). e1000500–e1000500. 293 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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