Identification of novel genomic loci for anxiety symptoms and extensive genetic overlap with psychiatric disorders is a research paper published in Psychiatry and Clinical Neurosciences (2024). On theSindex it has a DataRank of 0.466. It has been cited 10 times, with 9 citing works in its 1-hop citation network.
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Base Score Contribution
0.360
From this paper's citation signal
Citation Network Contribution
0.106
From 7 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 9 citers.
National Institute of Mental Health
Grant: R01MH123724‐01
National Institute of Mental Health
Grant: R01MH124839‐02
Norway Grants
Grant: EEA‐RO‐NO‐2018‐0535
Norway Grants
Grant: EEA‐RO‐NO‐2018‐0573
Norges Forskningsråd
Grant: 223273
NORMENT; Norwegian Centre for Mental Disorders Research
Norges Forskningsråd
Grant: 229624
Better health by harvesting biobanks
Norges Forskningsråd
Grant: 248778
Identifying the missing heritability of complex diseases leveraging biobanks, registries and novel analytical tools in psychiatric disorders
Norges Forskningsråd
Grant: 273291
Identifying actionable resilience factors for mental health leveraging prospective cohorts and novel biostatistical tools
Norges Forskningsråd
Grant: 273446
DNA methylation in psychiatric disorders, and mediation of gene by environment effects, from birth to adulthood.
Norges Forskningsråd
Grant: 296030
A Trans-Nordic Study of Mood disorders (NOR-FREED)
Norges Forskningsråd
Grant: 300309
Prediction of antipsychotic drug response; a personalised medicine approach in schizophrenia
Norges Forskningsråd
Grant: 324252
Decoding psychotic disorders into patterns of polygenic pleiotropy
Norges Forskningsråd
Grant: 324499
Polygenic and psychosocial interplay in brain development across mental disorders
Norges Forskningsråd
Grant: 326813
Preventing multimorbidity in severe mental disorders with a multidisciplinary approach
Norges Forskningsråd
Grant: 334920
Prediction and Stratification of Substance Use in Bipolar Disorder to Improve Disease Outcome (PASS-BD)
H2020 European Research Council
Grant: 847776
Predicting comorbid cardiovascular disease in individuals with mental disorder by decoding disease mechanisms
H2020 European Research Council
Grant: 964874
Using real-world big data from eHealth, biobanks and national registries, integrated with clinical trial data to improve outcome of severe mental disorders
Nasjonalforeningen for Folkehelsen
Grant: 22731
National Institutes of Health
Grant: OT2 HL161847
National Institutes of Health
Grant: R01AG076838
National Institutes of Health
Grant: U24DA041123
National Institutes of Health
Grant: U24DA055330
Stiftelsen Kristian Gerhard Jebsen
Grant: SKGJ‐MED‐021
Helse Sør-Øst RHF
Grant: 2022-087
HORIZON EUROPE Marie Sklodowska-Curie Actions
Grant: 801133
SCIENTIA-FELLOWS II: International Postdoctoral Fellowship Programme
Norway Grants
Grant: EEA-RO-NO-2018-0573
Stiftelsen Kristian Gerhard Jebsen
Grant: SKGJ-MED-021
NIMH NIH HHS
Grant: R01MH124839-02
Helse Sør-Øst RHF
Grant: 2022-073
NIMH NIH HHS
Grant: R01 MH123724
NIMH NIH HHS
Grant: R01 MH124839
NIMH NIH HHS
Grant: R01MH123724-01
Norway Grants
Grant: EEA-RO-NO-2018-0535
National Institutes of Health
Grant: 5R01MH124839-02
3/7 Psychiatric Genomics Consortium: Advancing Discovery and Impact
National Institutes of Health
Grant: 2U24DA041123-06
ABCD-USA Consortium: Data Analysis, Informatics and Resource Center
National Institutes of Health
Grant: 3U24DA055330-03S1
Healthy Brain and Child Development National Consortium Data Coordinating Center
National Institutes of Health
Grant: 1R01AG076838-01
The VETSA Longitudinal MRI Twin Study of Aging (VETSA MRI 4)
National Institutes of Health
Grant: 5R01MH123724-02
A Trans-Nordic Study of Extreme Major Depression
National Institutes of Health
Grant: 3OT2HL161847-01S3
OTA-21-015A Post-Acute Sequelae of SARS-CoV-2 Infection Initiative: NYU Langone Health Clinical Science Core, Data Resource Core, and PASC Biorepository Core
The Research Council of Norway
Grant: 249018
DL: Digital Life Norway PhD School
Medisinske fakultet, Universitetet i Oslo
Medisinske fakultet, Universitetet i Oslo
FWCI
3.95
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals