Jonathan Mitchell

1.3k total citations · 1 hit paper
9 papers, 309 citations indexed

About

Jonathan Mitchell is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Jonathan Mitchell has authored 9 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Jonathan Mitchell's work include Genomics and Phylogenetic Studies (4 papers), Genetic diversity and population structure (3 papers) and Cancer Genomics and Diagnostics (3 papers). Jonathan Mitchell is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Genetic diversity and population structure (3 papers) and Cancer Genomics and Diagnostics (3 papers). Jonathan Mitchell collaborates with scholars based in Australia, United States and United Kingdom. Jonathan Mitchell's co-authors include John A. Rhodes, Elizabeth S. Allman, Slavé Petrovski, Margarete A. Fabre, Clea Bárcena, Vivek Iyer, Paul Carter, Muxin Gu, Pedro M. Quirós and Stephen Burgess and has published in prestigious journals such as Nature Communications, Nature Genetics and Bioinformatics.

In The Last Decade

Jonathan Mitchell

8 papers receiving 304 citations

Hit Papers

Genome-wide analyses of 200,453 individuals yield new ins... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Mitchell Australia 6 131 125 92 67 59 9 309
В. Л. Сурин Russia 12 97 0.7× 156 1.2× 56 0.6× 119 1.8× 36 0.6× 72 381
Lucia Artuso Italy 11 104 0.8× 257 2.1× 136 1.5× 65 1.0× 43 0.7× 22 408
Tony Brooks United Kingdom 9 57 0.4× 272 2.2× 54 0.6× 59 0.9× 53 0.9× 15 386
Joëlle Starck France 12 191 1.5× 337 2.7× 137 1.5× 73 1.1× 31 0.5× 23 579
Lindsey G. Hawke Canada 11 83 0.6× 112 0.9× 28 0.3× 71 1.1× 24 0.4× 14 343
Alžběta Vašíková Czechia 10 79 0.6× 215 1.7× 35 0.4× 107 1.6× 148 2.5× 13 438
Takafumi Tomiyasu Japan 10 311 2.4× 175 1.4× 81 0.9× 56 0.8× 22 0.4× 18 437
Biao Wu China 11 53 0.4× 238 1.9× 26 0.3× 35 0.5× 95 1.6× 35 420
Ayako Kamiunten Japan 7 89 0.7× 90 0.7× 60 0.7× 12 0.2× 17 0.3× 21 188
Isabelle Bartram Germany 8 102 0.8× 87 0.7× 22 0.2× 17 0.3× 35 0.6× 13 266

Countries citing papers authored by Jonathan Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Mitchell

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

All Works

9 of 9 papers shown
1.
Mitchell, Jonathan, et al.. (2025). From Trees to Traits: A Review of Advances in PhyloG2P Methods and Future Directions. Genome Biology and Evolution. 17(9).
2.
Garg, Manik, Dorota Matelska, Oliver S. Burren, et al.. (2024). Disease prediction with multi-omics and biomarkers empowers case–control genetic discoveries in the UK Biobank. Nature Genetics. 56(9). 1821–1831. 33 indexed citations
3.
Mitchell, Jonathan, Jack Bartram, Susan Walker, et al.. (2024). Clinical application of tumour-in-normal contamination assessment from whole genome sequencing. Nature Communications. 15(1). 323–323. 3 indexed citations
4.
Vitsios, Dimitrios, Ryan S. Dhindsa, Dorota Matelska, et al.. (2022). Cancer-driving mutations are enriched in genic regions intolerant to germline variation. Science Advances. 8(34). eabo6371–eabo6371. 6 indexed citations
5.
Allman, Elizabeth S., Hector Baños, Jonathan Mitchell, & John A. Rhodes. (2022). The tree of blobs of a species network: identifiability under the coalescent. Journal of Mathematical Biology. 86(1). 10–10. 12 indexed citations
6.
Kar, Siddhartha, Pedro M. Quirós, Muxin Gu, et al.. (2022). Genome-wide analyses of 200,453 individuals yield new insights into the causes and consequences of clonal hematopoiesis. Nature Genetics. 54(8). 1155–1166. 192 indexed citations breakdown →
7.
Allman, Elizabeth S., Jonathan Mitchell, & John A. Rhodes. (2021). Gene Tree Discord, Simplex Plots, and Statistical Tests under the Coalescent. Systematic Biology. 71(4). 929–942. 22 indexed citations
8.
Rhodes, John A., Hector Baños, Jonathan Mitchell, & Elizabeth S. Allman. (2020). MSCquartets 1.0: quartet methods for species trees and networks under the multispecies coalescent model in R. Bioinformatics. 37(12). 1766–1768. 40 indexed citations
9.
Mitchell, Jonathan, Jeremy G. Sumner, & Barbara R. Holland. (2018). Distinguishing Between Convergent Evolution and Violation of the Molecular Clock for Three Taxa. Systematic Biology. 67(5). 905–915. 1 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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