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

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Cherise Chin Fatt

Cherise Chin Fatt

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 9 papers. Top paper: “Predictive Patterns of Antidepressant Response from Pre-Treatment Reward Processing using Functional MRI and Deep Learning: Key Results from the EMBARC Randomized Clinical Trial”.

Predictive Patterns of Antidepressant Response from Pre-Treatment Reward Processing using Functional MRI and Deep Learning: Key Results from the EMBARC Randomized Clinical Trial

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.01.28.923821

N/A

0DataRank · unranked

1 citations

Cherise Chin Fatt, Alex Treacher, Cooper Mellema, Crystal Cooper, Manish K. Jha +8 more

Patterns of Pretreatment Reward Task Brain Activation Predict Individual Antidepressant Response: Key Results From the EMBARC Randomized Clinical Trial

Biological Psychiatry(2021)10.1016/j.biopsych.2021.09.011

N/A

0DataRank · unranked

26 citations

Cherise Chin Fatt, Alex Treacher, Cooper Mellema, Crystal Cooper, Manish K. Jha +8 more

Smoking status links habenular volume to glycated hemoglobin: Findings from the Human Connectome Project-Young Adult

Psychoneuroendocrinology(2021)10.1016/j.psyneuen.2021.105321

N/A

0DataRank · unranked

5 citations

Joo-won Kim, Paul J. Kenny, Cherise Chin Fatt, Abu Minhajuddin, Ramiro Salas +6 more

Accelerated Brain Aging in Adults With Major Depressive Disorder Predicts Poorer Outcome With Sertraline: Findings From the EMBARC Study

Biological Psychiatry Cognitive Neuroscience and Neuroimaging(2022)10.1016/j.bpsc.2022.09.006

N/A

0DataRank · unranked

14 citations

Cherise Chin Fatt, Abu Minhajuddin, Taryn L. Mayes, Madhukar H. Trivedi, Manish K. Jha

AI-based dimensional neuroimaging system for characterizing heterogeneity in brain structure and function in major depressive disorder: COORDINATE-MDD consortium design and rationale

Research Square(2022)10.21203/rs.3.rs-1608215/v1

N/A

0DataRank · unranked

1 citations

Guray Erus, Yong Fan, Mathilde Antoniades, Danilo Arnone, Stephen R. Arnott +44 more

Neuroanatomical dimensions in medication-free individuals with major depressive disorder and treatment response to SSRI antidepressant medications or placebo

Research Square(2022)10.21203/rs.3.rs-2289671/v1

N/A

0DataRank · unranked

0 citations

Cynthia H.Y. Fu, Guray Erus, José García, Yong Fan, Danilo Arnone +43 more

AI-based dimensional neuroimaging system for characterizing heterogeneity in brain structure and function in major depressive disorder: COORDINATE-MDD consortium design and rationale

BMC Psychiatry(2023)10.1186/s12888-022-04509-7

N/A

0DataRank · unranked

20 citations

Guray Erus, Yong Fan, Mathilde Antoniades, Danilo Arnone, Stephen R. Arnott +44 more

Brain ventricle and choroid plexus morphology as predictor of treatment response in major depression: Findings from the EMBARC study

Brain Behavior & Immunity - Health(2023)10.1016/j.bbih.2023.100717

N/A

0DataRank · unranked

20 citations

Maurizio Fava, Cristina Cusin, Cherise Chin Fatt, Madhukar H. Trivedi, Harald Murck

Neuroanatomical dimensions in medication-free individuals with major depressive disorder and treatment response to SSRI antidepressant medications or placebo

Nature Mental Health(2024)10.1038/s44220-023-00187-w

N/A

0DataRank · unranked

43 citations

Mathilde Antoniades, Guray Erus, José García, Yong Fan, Danilo Arnone +44 more