Jonathan D. Hafferty

23 papers receiving 2.4k citations

Jonathan D. Hafferty's Hit Papers

Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions 2019 · 1.8k citations
1.8k0+2+4Years since publication50010001.5k

Peers

Jonathan D. Hafferty
Comparison fields: 5 of 119
  • Biological Psychiatry 302
  • Behavioral Neuroscience 130
  • Genetics 769
  • Psychiatry and Mental health 256
  • Clinical Psychology 357
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Cheynna Crowley United States
Eleanor M. Wigmore United Kingdom
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Edwin J.C.G. van den Oord United States
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Nastassja Koen South Africa
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Citations per year

Countries citing papers authored by Jonathan D. Hafferty

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan D. Hafferty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan D. Hafferty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan D. Hafferty Line = papers co-authored together Jonathan D. Hafferty links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions
Hit paper breakdown →
20191752
2 2021165
3 201782
4 202378
5 201965
6 202242
7 201837
8 202233
9 201631
10 201927
11 202124
12 201722
13 201221
14 201921
15 202019
16 201618
17 201914
18 20219
19 20164
20 20233

About Jonathan D. Hafferty

Jonathan D. Hafferty is a scholar working on Health, Pediatrics, Perinatology and Child Health, Clinical Psychology, Genetics and Experimental and Cognitive Psychology, having authored 25 papers that have together received 2.5k indexed citations. Recurring topics across this work include Birth, Development, and Health (5 papers), Genetic Associations and Epidemiology (5 papers), Epigenetics and DNA Methylation (3 papers), Suicide and Self-Harm Studies (3 papers), Health disparities and outcomes (3 papers), Cognitive Abilities and Testing (2 papers), Identity, Memory, and Therapy (2 papers) and Child and Adolescent Psychosocial and Emotional Development (2 papers). The work is most often cited by research in Biological Psychiatry (302 citations), Behavioral Neuroscience (130 citations), Genetics (769 citations), Psychiatry and Mental health (256 citations) and Clinical Psychology (357 citations). Jonathan D. Hafferty has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Andrew Mark McIntosh, David John Porteous, Archie I Campbell, Mark James Adams, Stephen Lawrie, Kristin K. Nicodemus, Donald J. MacIntyre, Lauren B. Navrady, Ian J. Deary and David M. Howard. Their work appears in journals such as Molecular Psychiatry, Translational Psychiatry, Wellcome Open Research, Social Psychiatry and Psychiatric Epidemiology and Biological Psychiatry.

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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