🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

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Neerja Chowdhary

Neerja Chowdhary

World Health Organization - Pakistan

ORCID: 0000-0001-7875-3254

Also affiliated with World Health Organization

PsychologyMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 15 papers. Top paper: “The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis”.

The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis

Psychotherapy and Psychosomatics(2019)10.1159/000502294

N/A

4.8DataRank · unranked

123 citations

Brooke Levis, Kira E. Riehm, Nazanin Saadat, Alexander W. Levis, Marleine Azar +74 more

Probability of major depression diagnostic classification using semi-structured versus fully structured diagnostic interviews

The British Journal of Psychiatry(2018)10.1192/bjp.2018.54

N/A

1.7DataRank · unranked

69 citations

Andrea Benedetti, Kira E. Riehm, Nazanin Saadat, Alexander W. Levis, Marleine Azar +75 more

Depression prevalence using the HADS-D compared to SCID major depression classification: An individual participant data meta-analysis

Journal of Psychosomatic Research(2020)10.1016/j.jpsychores.2020.110256

N/A

1.2DataRank · unranked

41 citations

Tiffany Dal Santo, Brooke Levis, Yin Wu, Ying Sun, Ankur Krishnan +73 more

Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale – Depression subscale scores: An individual participant data meta-analysis of 73 primary studies

Journal of Psychosomatic Research(2020)10.1016/j.jpsychores.2019.109892

N/A

1.2DataRank · unranked

49 citations

Brooke Levis, Ying Sun, Ankur Krishnan, Chen He, Kira E. Riehm +114 more

Shortening self-report mental health symptom measures through optimal test assembly methods: Development and validation of the Patient Health Questionnaire-Depression-4

Depression and Anxiety(2018)10.1002/da.22841

N/A

1.1DataRank · unranked

26 citations

Daphna Harel, Brooke Levis, Alexander W. Levis, Kira E. Riehm, Nazanin Saadat +35 more

Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis

Journal of Clinical Epidemiology(2020)10.1016/j.jclinepi.2020.02.002

N/A

0.798DataRank · unranked

204 citations

Andrea Benedetti, Ying Sun, Zelalem Negeri, Chen He, Yin Wu +76 more

Data-Driven Cutoff Selection for the Patient Health Questionnaire-9 Depression Screening Tool

JAMA Network Open(2024)10.1001/jamanetworkopen.2024.29630

N/A

0.663DataRank · unranked

22 citations

Parash Mani Bhandari, Tiffany Dal Santo, Suiqiong Fan, Ying Sun, Chen He +125 more

Comparison of the accuracy of the 7-item HADS Depression subscale and 14-item total HADS for screening for major depression: A systematic review and individual participant data meta-analysis.

Psychological Assessment(2023)10.1037/pas0001181

N/A

0.345DataRank · unranked

9 citations

Brooke Levis, Federico M. Daray, John P. A. Ioannidis, Scott B. Patten, Pim Cuijpers +110 more

Comparison of Patient Health Questionnaire-9, Edinburgh Postnatal Depression Scale and Hospital Anxiety and Depression – Depression subscale scores by administration mode: An individual participant data differential item functioning meta-analysis

Journal of Affective Disorders(2024)10.1016/j.jad.2024.06.033

N/A

0.292DataRank · unranked

6 citations

Yin Wu, Brooke Levis, Suiqiong Fan, Ying Sun, Mingyao Xu +255 more

A case study of an individual participant data meta-analysis of diagnostic accuracy showed that prediction regions represented heterogeneity well

Scientific Reports(2023)10.1038/s41598-023-36129-w

N/A

0.104DataRank · unranked

1 citations

Parash Mani Bhandari, Yin Wu, Brooke Levis, Andrea Benedetti, Ying Sun +77 more

Probability of major depression diagnostic classification using semi-structured versus fully structured diagnostic interviews

UNC Libraries(2024)10.17615/zrfp-g315

N/A

0DataRank · unranked

0 citations

Andrea Benedetti, Kira E. Riehm, Navid Saadat, Alexander W. Levis, Marleine Azar +71 more

The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis

UNC Libraries(2024)10.17615/ejch-5n22

N/A

0DataRank · unranked

0 citations

Brooke Levis, Kira E. Riehm, Navid Saadat, Alexander W. Levis, Marleine Azar +71 more

World‐Wide FINGERS Network: A global approach to risk reduction and prevention of dementia

Alzheimer s & Dementia(2020)10.1002/alz.12123

N/A

0DataRank · unranked

527 citations

Francesca Mangialasche, Heather M. Snyder, Ricardo Allegri, Sandrine Andrieu, Hidenori Arai +64 more

Gaps and challenges: WHO treatment recommendations for tobacco cessation and management of substance use disorders in people with severe mental illness

BMC Psychiatry(2020)10.1186/s12888-020-02623-y

N/A

0DataRank · unranked

16 citations

Maya Semrau, Corrado Barbui, Neerja Chowdhary, Petra C. Gronholm, Kavitha Kolappa +4 more

Prevention and management of physical health conditions in adults with severe mental disorders: WHO recommendations

International Journal of Mental Health Systems(2021)10.1186/s13033-021-00444-4

N/A

0DataRank · unranked

51 citations

Neerja Chowdhary, Corrado Barbui, Jayati Das‐Munshi, Kavitha Kolappa, Graham Thornicroft +3 more