Jonathan Mill
Impact in
- Biological Psychiatry top 0.05%
- Behavioral Neuroscience top 0.05%
- Stress Responses and Cortisol
Papers in
- Genetics 106
- Genetics and Neurodevelopmental Disorders 46
- Genetic Syndromes and Imprinting 44
- Genetic Associations and Epidemiology 33
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- Epigenetics and DNA Methylation 184
- Co-authors
- Ian Craig (22 shared papers)Avshalom Caspi (27 shared papers)Terrie E. Moffitt (26 shared papers)Richie Poulton (11 shared papers)Joseph L. McClay (6 shared papers)Judy Martin (5 shared papers)Leonard C. Schalkwyk (53 shared papers)Karen Sugden (15 shared papers)
- Journals
- Molecular Psychiatry (20 papers)Nature Communications (17 papers)Translational Psychiatry (16 papers)American Journal of Medical Genetics Part B Neuropsychiatric Genetics (14 papers)Epigenetics (13 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Jonathan Mill
328 papers receiving 38.6k citations
Jonathan Mill's Hit Papers
Peers
Comparison fields: 5 of 196
- Biological Psychiatry 2.3k
- Behavioral Neuroscience 2.4k
- Psychiatry and Mental health 4.3k
- Genetics 8.2k
- Clinical Psychology 6.0k
Countries citing papers authored by Jonathan Mill
This map shows the geographic impact of Jonathan Mill'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 Mill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Mill more than expected).
Fields of papers citing papers by Jonathan Mill
This network shows the impact of papers produced by Jonathan Mill. 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 Mill. The network helps show where Jonathan Mill may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Mill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 336 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Influence of Life Stress on Depression: Moderation by a Polymorphism in the 5-HTT Gene Hit paper breakdown → | 2003 | 6281 |
| 2 | Role of Genotype in the Cycle of Violence in Maltreated Children Hit paper breakdown → | 2002 | 3402 |
| 3 | Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression Hit paper breakdown → | 2018 | 2171 |
| 4 | Transcriptomic analysis of autistic brain reveals convergent molecular pathology Hit paper breakdown → | 2011 | 1500 |
| 5 | Non-neuronal expression of SARS-CoV-2 entry genes in the olfactory system suggests mechanisms underlying COVID-19-associated anosmia Hit paper breakdown → | 2020 | 887 |
| 6 | A data-driven approach to preprocessing Illumina 450K methylation array data Hit paper breakdown → | 2013 | 823 |
| 7 | Alzheimer's disease: early alterations in brain DNA methylation at ANK1, BIN1, RHBDF2 and other loci Hit paper breakdown → | 2014 | 758 |
| 8 | 2008 | 654 | |
| 9 | Trial of Antisense Oligonucleotide Tofersen for SOD1 ALS Hit paper breakdown → | 2022 | 616 |
| 10 | TDP-43 mutant transgenic mice develop features of ALS and frontotemporal lobar degeneration Hit paper breakdown → | 2009 | 580 |
| 11 | Epigenome-Wide Scans Identify Differentially Methylated Regions for Age and Age-Related Phenotypes in a Healthy Ageing Population Hit paper breakdown → | 2012 | 574 |
| 12 | Functional annotation of the human brain methylome identifies tissue-specific epigenetic variation across brain and blood Hit paper breakdown → | 2012 | 559 |
| 13 | Genome-wide Analyses Identify KIF5A as a Novel ALS Gene Hit paper breakdown → | 2018 | 526 |
| 14 | Methylomic profiling implicates cortical deregulation of ANK1 in Alzheimer's disease Hit paper breakdown → | 2014 | 457 |
| 15 | Phase 1–2 Trial of Antisense Oligonucleotide Tofersen for SOD1 ALS Hit paper breakdown → | 2020 | 444 |
| 16 | Quantification of the pace of biological aging in humans through a blood test, the DunedinPoAm DNA methylation algorithm Hit paper breakdown → | 2020 | 431 |
| 17 | 2020 | 405 | |
| 18 | 2012 | 389 | |
| 19 | 2011 | 374 | |
| 20 | 2015 | 352 |
About Jonathan Mill
Jonathan Mill is a scholar working on Genetics, Molecular Biology, Psychiatry and Mental health, Neurology and Cognitive Neuroscience, having authored 336 papers that have together received 40.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (184 papers), Genetics and Neurodevelopmental Disorders (46 papers), Genetic Syndromes and Imprinting (44 papers), Attention Deficit Hyperactivity Disorder (34 papers), Genetic Associations and Epidemiology (33 papers), Amyotrophic Lateral Sclerosis Research (23 papers), Autism Spectrum Disorder Research (21 papers) and Birth, Development, and Health (20 papers). The work is most often cited by research in Biological Psychiatry (2.3k citations), Behavioral Neuroscience (2.4k citations), Psychiatry and Mental health (4.3k citations), Genetics (8.2k citations) and Clinical Psychology (6.0k citations). Jonathan Mill has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Ian Craig, Avshalom Caspi, Terrie E. Moffitt, Richie Poulton, Joseph L. McClay, Judy Martin, Leonard C. Schalkwyk, Karen Sugden, Antony W. Braithwaite and Alan Taylor. Their work appears in journals such as Molecular Psychiatry, Nature Communications, Translational Psychiatry, American Journal of Medical Genetics Part B Neuropsychiatric Genetics and Epigenetics.
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.