Jonathan Flint

48.6k total citations · 6 hit papers
302 papers, 27.3k citations indexed

About

Jonathan Flint is a scholar working on Genetics, Molecular Biology and Experimental and Cognitive Psychology. According to data from OpenAlex, Jonathan Flint has authored 302 papers receiving a total of 27.3k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Genetics, 96 papers in Molecular Biology and 41 papers in Experimental and Cognitive Psychology. Recurrent topics in Jonathan Flint's work include Genetic Mapping and Diversity in Plants and Animals (70 papers), Genetic Associations and Epidemiology (61 papers) and Genetic and phenotypic traits in livestock (40 papers). Jonathan Flint is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (70 papers), Genetic Associations and Epidemiology (61 papers) and Genetic and phenotypic traits in livestock (40 papers). Jonathan Flint collaborates with scholars based in United Kingdom, United States and Germany. Jonathan Flint's co-authors include Marcus R. Munafò, Brian A. Nosek, John P. A. Ioannidis, Claire Mokrysz, Katherine S. Button, Emma Robinson, Richard Mott, Taane G. Clark, William Valdar and Kenneth S. Kendler and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jonathan Flint

293 papers receiving 26.6k citations

Hit Papers

5 papers align trajectories

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.

Power failure: why small sample size undermines the reliability of neuroscience

2013 4.9k citations Katherine S. Button, John P. A. Ioannidis et al. Nature reviews. Neuroscience profile →
Missing heritability and strategies for finding the underlying causes of complex disease

2010 1.1k citations Jonathan Flint et al. profile →
Meta-analysis of genetic association studies

2004 546 citations Marcus R. Munafò, Jonathan Flint profile →
Practice parameter: Evaluation of the child with global developmental delay [RETIRED]

2003 517 citations Jonathan Flint et al. profile →
The Genetics of Major Depression

2014 432 citations Jonathan Flint, Kenneth S. Kendler Neuron profile →
The genetic basis of major depressive disorder

2023 60 citations Jonathan Flint profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Flint United Kingdom	84	10.1k	7.7k	3.9k	2.7k	2.6k	302	27.3k
Neil Risch United States	96	18.8k 1.9×	10.4k 1.3×	2.7k 0.7×	1.3k 0.5×	3.9k 1.5×	318	40.0k
Kenneth K. Kídd United States	81	10.0k 1.0×	7.1k 0.9×	1.7k 0.4×	1.2k 0.4×	2.1k 0.8×	389	24.1k
Naomi R. Wray Australia	88	13.0k 1.3×	7.5k 1.0×	1.8k 0.5×	1.3k 0.5×	781 0.3×	410	31.1k
Nicholas J. Schork United States	94	10.9k 1.1×	10.9k 1.4×	1.7k 0.5×	1.7k 0.6×	1.6k 0.6×	460	32.3k
Håkon Håkonarson United States	76	11.6k 1.1×	12.4k 1.6×	5.5k 1.4×	1.4k 0.5×	1.1k 0.4×	587	34.7k
Lon R. Cardon United Kingdom	74	13.6k 1.3×	8.9k 1.1×	1.4k 0.4×	1.1k 0.4×	1.1k 0.4×	188	28.2k
Pak C. Sham Hong Kong	97	24.3k 2.4×	16.4k 2.1×	6.0k 1.6×	3.2k 1.2×	4.3k 1.6×	695	62.0k
Ian Craig United Kingdom	59	4.8k 0.5×	6.2k 0.8×	2.6k 0.7×	579 0.2×	3.6k 1.4×	285	22.4k
Michael O’Donovan United Kingdom	94	13.3k 1.3×	10.8k 1.4×	4.9k 1.3×	483 0.2×	3.9k 1.5×	478	28.7k
Bernie Devlin United States	66	7.5k 0.7×	5.1k 0.7×	2.5k 0.6×	1.2k 0.4×	779 0.3×	196	16.2k

Countries citing papers authored by Jonathan Flint

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Flint

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Flint

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Alvarez, Marcus, Silviu‐Alin Bacanu, Andrew J. Schork, et al.. (2023). Deep learning-based phenotype imputation on population-scale biobank data increases genetic discoveries. Nature Genetics. 55(12). 2269–2276. 29 indexed citations

Dahl, Andrew, Michael Thompson, Morten Dybdahl Krebs, et al.. (2023). Phenotype integration improves power and preserves specificity in biobank-based genetic studies of major depressive disorder. Nature Genetics. 55(12). 2082–2093. 23 indexed citations

Gopalakrishnan, Shyam, Clarissa C. Parker, Jérôme Nicod, et al.. (2021). Analysis of independent cohorts of outbred CFW mice reveals novel loci for behavioral and physiological traits and identifies factors determining reproducibility. G3 Genes Genomes Genetics. 12(1). 8 indexed citations

Majumdar, Arunabha, Claudia Giambartolomei, Na Cai, et al.. (2021). Leveraging eQTLs to identify individual-level tissue of interest for a complex trait. PLoS Computational Biology. 17(5). e1008915–e1008915. 3 indexed citations

Dahl, Andy, Na Cai, Arthur Ko, et al.. (2019). Reverse GWAS: Using genetics to identify and model phenotypic subtypes. PLoS Genetics. 15(4). e1008009–e1008009. 26 indexed citations

Pan, Wei, Jonathan Flint, Liat Shenhav, et al.. (2019). Re-examining the robustness of voice features in predicting depression: Compared with baseline of confounders. PLoS ONE. 14(6). e0218172–e0218172. 28 indexed citations

Hernandez-Pliego, Polinka, Toñi Cañete, Ignasi Oliveras, et al.. (2018). Coping-Style Behavior Identified by a Survey of Parent-of-Origin Effects in the Rat. G3 Genes Genomes Genetics. 8(10). 3283–3291. 2 indexed citations

Edwards, Alexis C., Anna R. Docherty, Arden Moscati, et al.. (2017). Polygenic risk for severe psychopathology among Europeans is associated with major depressive disorder in Han Chinese women. Psychological Medicine. 48(5). 777–789. 7 indexed citations

Rappaport, Lance M., Jonathan Flint, & Kenneth S. Kendler. (2017). Clarifying the role of neuroticism in suicidal ideation and suicide attempt among women with major depressive disorder. Psychological Medicine. 47(13). 2334–2344. 32 indexed citations

10.

Kendler, Kenneth S., Steven H. Aggen, Cathryn M. Lewis, et al.. (2015). The similarity of the structure of DSM-IV criteria for major depression in depressed women from China, the United States and Europe. Psychological Medicine. 45(9). 1945–1954. 20 indexed citations

11.

Flint, Jonathan & Kenneth S. Kendler. (2014). The Genetics of Major Depression. Neuron. 81(3). 484–503. 432 indexed citations breakdown →

12.

Flint, Jonathan, Pim Cuijpers, Jamie Horder, Sander L. Koole, & Marcus R. Munafò. (2014). Is there an excess of significant findings in published studies of psychotherapy for depression?. Psychological Medicine. 45(2). 439–446. 35 indexed citations

13.

Button, Katherine S., John P. A. Ioannidis, Claire Mokrysz, et al.. (2013). Power failure: why small sample size undermines the reliability of neuroscience. Nature reviews. Neuroscience. 14(5). 365–376. 4852 indexed citations breakdown →

14.

Mens, Pètra F., Jonathan Flint, Lily Keereecharoen, et al.. (2012). Development, validation and evaluation of a rapid PCR-nucleic acid lateral flow immuno-assay for the detection of Plasmodium and the differentiation between Plasmodium falciparum and Plasmodium vivax. Malaria Journal. 11(1). 279–279. 21 indexed citations

15.

Flint, Jonathan, Yiping Chen, Shenxun Shi, & Kenneth S. Kendler. (2011). Epilogue: Lessons from the CONVERGE study of major depressive disorder in China. Journal of Affective Disorders. 140(1). 1–5. 7 indexed citations

16.

Flint, Jonathan, Sagiv Shifman, Marcus R. Munafò, & Richard Mott. (2008). Genetic Variants in Major Depression. Novartis Foundation symposium. 289. 23–42. 6 indexed citations

17.

Keays, David A., Taane G. Clark, & Jonathan Flint. (2006). Estimating the number of coding mutations in genotypic- and phenotypic-driven N-ethyl-N-nitrosourea (ENU) screens. Mammalian Genome. 17(3). 230–238. 45 indexed citations

18.

Willis‐Owen, Saffron A.G. & Jonathan Flint. (2006). The genetic basis of emotional behaviour in mice. European Journal of Human Genetics. 14(6). 721–728. 35 indexed citations

19.

Surtees, Paul G., Nicholas W.J. Wainwright, Saffron A.G. Willis‐Owen, et al.. (2005). Social Adversity, the Serotonin Transporter (5-HTTLPR) Polymorphism and Major Depressive Disorder. Biological Psychiatry. 59(3). 224–229. 201 indexed citations

20.

Yalcin, Binnaz, Janice M. Fullerton, David A. Keays, et al.. (2004). Unexpected complexity in the haplotypes of commonly used inbred strains of laboratory mice. Proceedings of the National Academy of Sciences. 101(26). 9734–9739. 92 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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