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

Mohammad E. Khamseh

Iran University of Medical Sciences

ORCID: 0000-0003-4313-8440
Medicine

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

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Papers

Driven by 10 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

Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis

Psychological Medicine(2019)10.1017/s0033291719001314
N/A
0.901DataRank · unranked
405 citations

Brooke Levis, Kira E. Riehm, Nazanin Saadat, Alexander W. Levis, Marleine Azar +67 more

Evaluation of the expression of necroptosis pathway mediators and its association with tumor characteristics in functional and non-functional pituitary adenomas

BMC Endocrine Disorders(2022)10.1186/s12902-021-00919-y
N/A
0.899DataRank · unranked
20 citations

Alireza Sheikhi, Zahra Shahsavari, Mohammad Ghorbani, Hamideh Akbari, Mehrnaz Imani +7 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

Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis – ERRATUM

Psychological Medicine(2019)10.1017/s0033291719002137
N/A
0.449DataRank · unranked
19 citations

Brooke Levis, Kira E. Riehm, Nazanin Saadat, Alexander W. Levis, Marleine Azar +65 more

External validation of a shortened screening tool using individual participant data meta-analysis: A case study of the Patient Health Questionnaire-Dep-4

Methods(2022)10.1016/j.ymeth.2021.11.005
N/A
0.292DataRank · unranked
6 citations

Brooke Levis, Ying Sun, Felix H. Fischer, Pim Cuijpers, Scott B. Patten +116 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
0.165DataRank · unranked
2 citations

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