Jonathan Frazer

1.9k total citations · 1 hit paper
26 papers, 758 citations indexed

About

Jonathan Frazer is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Genetics. According to data from OpenAlex, Jonathan Frazer has authored 26 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Astronomy and Astrophysics, 9 papers in Nuclear and High Energy Physics and 5 papers in Genetics. Recurrent topics in Jonathan Frazer's work include Cosmology and Gravitation Theories (15 papers), Black Holes and Theoretical Physics (8 papers) and Galaxies: Formation, Evolution, Phenomena (6 papers). Jonathan Frazer is often cited by papers focused on Cosmology and Gravitation Theories (15 papers), Black Holes and Theoretical Physics (8 papers) and Galaxies: Formation, Evolution, Phenomena (6 papers). Jonathan Frazer collaborates with scholars based in United Kingdom, Spain and United States. Jonathan Frazer's co-authors include Debora S. Marks, Joseph Min, Kelly P. Brock, Pascal Notin, Aidan N. Gomez, Yarin Gal, Mafalda Dias, Mafalda Dias, Layne C. Price and Hiranya V. Peiris and has published in prestigious journals such as Nature, Physical Review Letters and Nature Genetics.

In The Last Decade

Jonathan Frazer

24 papers receiving 753 citations

Hit Papers

Disease variant prediction with deep generative models of... 2021 2026 2022 2024 2021 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Disease variant prediction with deep generative models of evolutionary data
    2021 375 citations Jonathan Frazer, Pascal Notin et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Frazer United Kingdom 12 282 233 199 171 81 26 758
David J. Gross United States 18 276 1.0× 157 0.7× 375 1.9× 20 0.1× 92 1.1× 34 1.1k
Ajit Suri United States 20 127 0.5× 204 0.9× 101 0.5× 30 0.2× 59 0.7× 54 955
Dipankar Ray United States 25 1000 3.5× 165 0.7× 153 0.8× 86 0.5× 162 2.0× 102 1.7k
M. Fukushima Japan 16 122 0.4× 62 0.3× 276 1.4× 44 0.3× 104 1.3× 116 938
Pablo G. Cámara United States 22 463 1.6× 605 2.6× 738 3.7× 63 0.4× 36 0.4× 37 1.5k
Shunsuke Teraguchi Japan 14 303 1.1× 53 0.2× 162 0.8× 19 0.1× 67 0.8× 33 691
Takuya Ohkubo Japan 17 523 1.9× 775 3.3× 140 0.7× 17 0.1× 11 0.1× 44 2.3k
R. Bryn Fenwick United States 19 900 3.2× 42 0.2× 72 0.4× 107 0.6× 72 0.9× 44 1.2k
M. Albers United States 17 466 1.7× 16 0.1× 177 0.9× 125 0.7× 10 0.1× 45 1.0k
Yasuo Hara Japan 22 743 2.6× 37 0.2× 675 3.4× 185 1.1× 43 0.5× 86 1.9k

Countries citing papers authored by Jonathan Frazer

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Frazer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Frazer

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Frazer. A scholar is included among the top collaborators of Jonathan Frazer 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 Frazer. Jonathan Frazer 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.
Zambon, M, Federica Mantica, Mafalda Dias, Jonathan Frazer, & Manuel Irimia. (2025). Evolution of comparative transcriptomics: biological scales, phylogenetic spans, and modeling frameworks. Current Opinion in Genetics & Development. 94. 102387–102387. 1 indexed citations
2.
Orenbuch, Rose, Aaron W. Kollasch, Thomas A. Hopf, et al.. (2025). Proteome-wide model for human disease genetics. Nature Genetics. 57(12). 3165–3174. 3 indexed citations
3.
Livesey, Benjamin, Mafalda Dias, Jonathan Frazer, et al.. (2025). Guidelines for releasing a variant effect predictor. Genome biology. 26(1). 97–97. 4 indexed citations
4.
Dias, Mafalda, Rose Orenbuch, Debora S. Marks, & Jonathan Frazer. (2024). Toward trustable use of machine learning models of variant effects in the clinic. The American Journal of Human Genetics. 111(12). 2589–2593. 4 indexed citations
5.
6.
Frazer, Jonathan, Pascal Notin, Mafalda Dias, et al.. (2021). Disease variant prediction with deep generative models of evolutionary data. Nature. 599(7883). 91–95. 375 indexed citations breakdown →
7.
Dias, Mafalda, et al.. (2019). Primordial Gravitational Waves and the Swampland. DESY Publication Database (PUBDB) (Deutsches Elektronen-Synchrotron). 21 indexed citations
8.
Dias, Mafalda, Jonathan Frazer, & M. C. David Marsh. (2018). Seven lessons from manyfield inflation in random potentials. Apollo (University of Cambridge). 11 indexed citations
9.
Hotinli, Selim C., Jonathan Frazer, Andrew H. Jaffe, et al.. (2017). Predictions After Many-field Reheating. Spiral (Imperial College London). 1 indexed citations
10.
Dias, Mafalda, Jonathan Frazer, & M. C. David Marsh. (2016). Simple Emergent Power Spectra from Complex Inflationary Physics. Physical Review Letters. 117(14). 141303–141303. 13 indexed citations
11.
Frazer, Jonathan, et al.. (2016). Effect of component variations on the gate fidelity in linear optical networks. Physical review. A. 94(2).
12.
Price, Layne C., Hiranya V. Peiris, Jonathan Frazer, & Richard Easther. (2015). Gravitational Wave Consistency Relations for Multifield Inflation. Physical Review Letters. 114(3). 31301–31301. 18 indexed citations
13.
Dias, Mafalda, et al.. (2015). Chaotic inflation with kinetic alignment of axion fields. Physical review. D. Particles, fields, gravitation, and cosmology. 91(2). 43 indexed citations
14.
Dias, Mafalda, et al.. (2015). The curvature perturbation at second order. Journal of Cosmology and Astroparticle Physics. 2015(2). 40–40. 17 indexed citations
15.
Blanco-Pillado, José J., et al.. (2015). Large scale power suppression in a multifield landscape. Journal of Cosmology and Astroparticle Physics. 2015(8). 35–35. 3 indexed citations
16.
Easther, Richard, Jonathan Frazer, Hiranya V. Peiris, & Layne C. Price. (2014). Simple Predictions from Multifield Inflationary Models. Physical Review Letters. 112(16). 161302–161302. 38 indexed citations
17.
Frazer, Jonathan & Andrew R. Liddle. (2010). Stability of multifield cosmological solutions in the presence of a fluid. Physical review. D. Particles, fields, gravitation, and cosmology. 82(4). 1 indexed citations
18.
Apstein, Carl S., R. C. Dennis, Laura E. Briggs, et al.. (1985). Effect of erythrocyte storage and oxyhemoglobin affinity changes on cardiac function. American Journal of Physiology-Heart and Circulatory Physiology. 248(4). H508–H515. 37 indexed citations
19.
Apstein, Carl S., R. C. Dennis, Laura E. Briggs, W Vogel, & Jonathan Frazer. (1983). Effect of Red Blood Cell Storage on Cardiac Performance. Improved Myocardial Oxygen Delivery and Function during Constant Flow Coronary Perfusion with Low Oxy-Hemoglobin Affinity Human Red Blood Cells in Normothermic and Hypothermic Rabbit Hearts.. 2 indexed citations
20.
Apstein, Carl S., Richard C. Dennis, John J. Vecchione, Jonathan Frazer, & C. R. Valeri. (1980). Improved cardiac function during coronary perfusion with low oxy-hemoglobin affinity human red blood cells. The American Journal of Cardiology. 45(2). 479–479. 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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