Jonathan Marchini

70.1k total citations · 12 hit papers
53 papers, 17.0k citations indexed

About

Jonathan Marchini is a scholar working on Genetics, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Jonathan Marchini has authored 53 papers receiving a total of 17.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Genetics, 15 papers in Molecular Biology and 5 papers in Cognitive Neuroscience. Recurrent topics in Jonathan Marchini's work include Genetic Associations and Epidemiology (38 papers), Genetic Mapping and Diversity in Plants and Animals (29 papers) and Genetic and phenotypic traits in livestock (21 papers). Jonathan Marchini is often cited by papers focused on Genetic Associations and Epidemiology (38 papers), Genetic Mapping and Diversity in Plants and Animals (29 papers) and Genetic and phenotypic traits in livestock (21 papers). Jonathan Marchini collaborates with scholars based in United Kingdom, United States and Switzerland. Jonathan Marchini's co-authors include Bryan Howie, Peter Donnelly, Olivier Delaneau, Gil McVean, Jean‐François Zagury, Lon R. Cardon, Matthew Stephens, Simon Myers, Kevin Sharp and Lloyd T. Elliott and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Jonathan Marchini

52 papers receiving 16.8k citations

Hit Papers

The UK Biobank resource with d... 2004 2026 2011 2018 2018 2009 2007 2011 2010 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Marchini United Kingdom 34 10.3k 5.7k 1.2k 1.1k 1.1k 53 17.0k
Sang Lee United States 47 7.8k 0.8× 3.6k 0.6× 815 0.7× 711 0.6× 1.3k 1.2× 244 14.2k
Michael Boehnke United States 64 8.8k 0.9× 8.3k 1.5× 1.2k 1.0× 1.7k 1.5× 855 0.8× 208 17.2k
Ben Fry United States 20 7.1k 0.7× 8.8k 1.6× 1.2k 1.0× 1.4k 1.2× 1.6k 1.5× 31 19.9k
David A. Hinds United States 50 4.9k 0.5× 4.2k 0.7× 1.2k 1.0× 981 0.9× 765 0.7× 95 11.3k
Yun Li United States 46 5.0k 0.5× 6.9k 1.2× 848 0.7× 1.4k 1.3× 1.1k 1.0× 286 14.2k
Alkes L. Price United States 57 16.8k 1.6× 8.9k 1.6× 1.4k 1.2× 1.2k 1.1× 1.5k 1.4× 106 26.1k
Jürg Ott United States 74 8.5k 0.8× 10.6k 1.9× 1.0k 0.9× 1.4k 1.3× 748 0.7× 343 25.1k
Po‐Ru Loh United States 39 7.1k 0.7× 6.0k 1.1× 964 0.8× 945 0.8× 1.3k 1.3× 76 15.0k
Mark Daly United States 4 4.7k 0.5× 4.0k 0.7× 1.1k 0.9× 1.2k 1.1× 948 0.9× 6 12.1k
Jeffrey C. Barrett United Kingdom 32 8.5k 0.8× 6.2k 1.1× 1.7k 1.4× 1.6k 1.4× 1.3k 1.3× 53 18.4k

Countries citing papers authored by Jonathan Marchini

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Marchini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Marchini

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Marchini. A scholar is included among the top collaborators of Jonathan Marchini 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 Jonathan Marchini. Jonathan Marchini 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.
Joseph, Tyler, Joelle Mbatchou, Arkopravo Ghosh, et al.. (2025). Computationally efficient meta-analysis of gene-based tests using summary statistics in large-scale genetic studies. Nature Genetics. 57(12). 3193–3200.
2.
Shi, Sinan, Simone Rubinacci, Sile Hu, et al.. (2024). A Genomics England haplotype reference panel and imputation of UK Biobank. Nature Genetics. 56(9). 1800–1803. 9 indexed citations
3.
Gaynor, Sheila M., Tyler Joseph, Yuxin Zou, et al.. (2024). Yield of genetic association signals from genomes, exomes and imputation in the UK Biobank. Nature Genetics. 56(11). 2345–2351. 6 indexed citations
4.
Sesia, Matteo, Stephen Bates, Emmanuel J. Candès, Jonathan Marchini, & Chiara Sabatti. (2021). False discovery rate control in genome-wide association studies with population structure. Proceedings of the National Academy of Sciences. 118(40). 43 indexed citations
5.
Mbatchou, Joelle, Leland Barnard, Joshua Backman, et al.. (2021). Computationally efficient whole-genome regression for quantitative and binary traits. Nature Genetics. 53(7). 1097–1103. 512 indexed citations breakdown →
6.
Marchini, Jonathan, et al.. (2020). A non-linear regression method for estimation of gene–environment heritability. Bioinformatics. 36(24). 5632–5639. 9 indexed citations
7.
Rubinacci, Simone, Olivier Delaneau, & Jonathan Marchini. (2020). Genotype imputation using the Positional Burrows Wheeler Transform. PLoS Genetics. 16(11). e1009049–e1009049. 90 indexed citations
8.
Mollink, Jeroen, Stephen M. Smith, Lloyd T. Elliott, et al.. (2019). The spatial correspondence and genetic influence of interhemispheric connectivity with white matter microstructure. Nature Neuroscience. 22(5). 809–819. 39 indexed citations
9.
Wiberg, Akira, Michael Ng, Yasser Al Omran, et al.. (2019). Handedness, language areas and neuropsychiatric diseases: insights from brain imaging and genetics. Brain. 142(10). 2938–2947. 99 indexed citations
10.
Wang, Diane, Francisco Agosto-Perez, Dmytro Chebotarov, et al.. (2018). An imputation platform to enhance integration of rice genetic resources. Nature Communications. 9(1). 3519–3519. 56 indexed citations
11.
Viñuela, Ana, Alfonso Buil, Julian C. Knight, et al.. (2016). Tensor decomposition for multiple-tissue gene expression experiments. Nature Genetics. 48(9). 1094–1100. 107 indexed citations
12.
O’Connell, Jared, Kevin Sharp, Nick Shrine, et al.. (2016). Haplotype estimation for biobank-scale data sets. Nature Genetics. 48(7). 817–820. 106 indexed citations
13.
Menelaou, Androniki & Jonathan Marchini. (2012). Genotype calling and phasing using next-generation sequencing reads and a haplotype scaffold. Bioinformatics. 29(1). 84–91. 27 indexed citations
14.
Cardin, Niall J., Chris Holmes, Peter Donnelly, & Jonathan Marchini. (2011). Bayesian hierarchical mixture modeling to assign copy number from a targeted CNV array. Genetic Epidemiology. 35(6). n/a–n/a. 9 indexed citations
15.
Howie, Bryan, Peter Donnelly, & Jonathan Marchini. (2009). A Flexible and Accurate Genotype Imputation Method for the Next Generation of Genome-Wide Association Studies. PLoS Genetics. 5(6). e1000529–e1000529. 2337 indexed citations breakdown →
16.
Marchini, Jonathan, Peter Donnelly, & Lon R. Cardon. (2005). Genome-wide strategies for detecting multiple loci that influence complex diseases. Nature Genetics. 37(4). 413–417. 677 indexed citations breakdown →
17.
Marchini, Jonathan, Lon R. Cardon, Michael Phillips, & Peter Donnelly. (2004). The effects of human population structure on large genetic association studies. Nature Genetics. 36(5). 512–517. 633 indexed citations breakdown →
18.
Marchini, Jonathan & Anne M. Presanis. (2004). Comparing methods of analyzing fMRI statistical parametric maps. NeuroImage. 22(3). 1203–1213. 55 indexed citations
19.
Marchini, Jonathan, et al.. (2002). Assessing population structure and its effects on association studies in a genome wide SNP dataset.. The American Journal of Human Genetics. 71. 372–372. 1 indexed citations
20.
Marchini, Jonathan & Stephen M. Smith. (2002). On Bias in the Estimation of Autocorrelations for fMRI Voxel Time-Series Analysis. NeuroImage. 18(1). 83–90. 28 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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