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

Charles R. Marmar

New York University

ORCID: 0000-0001-8427-5607
PsychologyMedicineNeuroscience

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 3%percentile
1.0Author DataRank

Indexed papers

2in 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 2 indexed papers 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 →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Utilization of machine learning for identifying symptom severity military-related PTSD subtypes and their biological correlates

Translational Psychiatry(2021)10.1038/s41398-021-01324-8
Top 19%
1.0DataRank
Top 19%26 citations

Eugene Laska, Ziqiang Lin, Mu Xu, Duna Abu‐Amara, Michelle K. Jeffers +18 more

Papers

Driven by 7 papers — median percentile 81. Top paper: “Developing methods to detect and diagnose chronic traumatic encephalopathy during life: rationale, design, and methodology for the DIAGNOSE CTE Research Project”.

Developing methods to detect and diagnose chronic traumatic encephalopathy during life: rationale, design, and methodology for the DIAGNOSE CTE Research Project

Alzheimer s Research & Therapy(2021)10.1186/s13195-021-00872-x
N/A
1.3DataRank · unranked
93 citations

Megan Mariani, Charles H. Adler, Laura J. Balcer, Charles Bernick, Rhoda Au +41 more

Utilization of machine learning for identifying symptom severity military-related PTSD subtypes and their biological correlates

Translational Psychiatry(2021)10.1038/s41398-021-01324-8
Top 19%
1.0DataRank
Top 19%26 citations

Eugene Laska, Ziqiang Lin, Mu Xu, Duna Abu‐Amara, Michelle K. Jeffers +18 more

Lower Methylation of Glucocorticoid Receptor Gene Promoter 1F in Peripheral Blood of Veterans with Posttraumatic Stress Disorder

Biological Psychiatry(2015)10.1016/j.biopsych.2014.02.006
N/A
0.856DataRank · unranked
299 citations

Janine D. Flory, Linda M. Bierer, Clare Henn-Haase, Amy Lehrner, Frank Desarnaud +5 more

Enhancing Discovery of Genetic Variants for Posttraumatic Stress Disorder Through Integration of Quantitative Phenotypes and Trauma Exposure Information

Biological Psychiatry(2021)10.1016/j.biopsych.2021.09.020
N/A
0.639DataRank · unranked
70 citations

Karmel W. Choi, Jonathan R. I. Coleman, Nikolaos P. Daskalakis, Christy A. Denckla, Elizabeth Ketema +95 more

Modeling the Influence of Chronic Sleep Restriction on Cortisol Circadian Rhythms, with Implications for Metabolic Disorders

Metabolites(2021)10.3390/metabo11080483
N/A
0.457DataRank · unranked
20 citations

Pramod R. Somvanshi, Elizabeth B. Klerman, Charles R. Marmar, Francis J. Doyle, Rohit Rao

Randomized controlled experimental study of hydrocortisone and D-cycloserine effects on fear extinction in PTSD

Neuropsychopharmacology(2021)10.1038/s41386-021-01222-z
N/A
0DataRank · unranked
44 citations

Andrea N. Niles, Thomas J. Metzler, Sa’ar L. Lipshitz, Christian Otte, Mohammed R. Milad +4 more

Identification of psychiatric disorder subtypes from functional connectivity patterns in resting-state electroencephalography

Nature Biomedical Engineering(2020)10.1038/s41551-020-00614-8
N/A
0DataRank · unranked
235 citations

Wei Wu, Russell Toll, Sharon Naparstek, Adi Maron‐Katz, Mallissa Watts +16 more