Nikhil N. Chaudhari

Also affiliated with Alfred Mann Foundation

NeuroscienceMedicine

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 10 papers. Top paper: “Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment”.

Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment

Proceedings of the National Academy of Sciences(2023)10.1073/pnas.2214634120

N/A

0.725DataRank · unranked

125 citations

Phoebe Imms, Mingxi Cheng, Anar Amgalan, Nahian F. Chowdhury, Roy J Massett +83 more

Deep learning to quantify the pace of brain aging in relation to neurocognitive changes

Proceedings of the National Academy of Sciences(2025)10.1073/pnas.2413442122

N/A

0.406DataRank · unranked

14 citations

Phoebe Imms, Nahian F. Chowdhury, Nikhil N. Chaudhari, Heng Ping, Haoqing Wang +86 more

Physical activity mediates age differences in cognition among Tsimane forager-horticulturalists

The Journals of Gerontology Series A(2025)10.1093/gerona/glaf163

N/A

0.104DataRank · unranked

1 citations

Nikhil N. Chaudhari, Daniel K. Cummings, Daniel Eid Rodríguez, Giuseppe Barisano, Paul L. Hooper +14 more

Anatomic Interpretability in Neuroimage Deep Learning: Saliency Approaches for Typical Aging and Traumatic Brain Injury

Neuroinformatics(2024)10.1007/s12021-024-09694-2

N/A

0DataRank · unranked

17 citations

Nikhil N. Chaudhari, Tamara Jafar, Nahian F. Chowdhury, Paul Bogdan, Andrei Irimia +2 more

Regional Neuroanatomic Effects on Brain Age Inferred Using Magnetic Resonance Imaging and Ridge Regression

The Journals of Gerontology Series A(2022)10.1093/gerona/glac209

N/A

0DataRank · unranked

21 citations

Alexander S. Maher, Phoebe Imms, Anar Amgalan, Nikhil N. Chaudhari, Nahian F. Chowdhury +3 more

Identification and Connectomic Profiling of Concussion Using Bayesian Machine Learning

Journal of Neurotrauma(2024)10.1089/neu.2023.0509

N/A

0DataRank · unranked

5 citations

Phoebe Imms, Ammar Dharani, Jessica Zhu, Nahian F. Chowdhury, Nikhil N. Chaudhari +2 more

Anatomic Interpretability in Neuroimage Deep Learning: Saliency Approaches for Typical Aging and Traumatic Brain Injury

Research Square(2024)10.21203/rs.3.rs-4960427/v1

N/A

0DataRank · unranked

2 citations

Nikhil N. Chaudhari, Tamara Jafar, Nahian F. Chowdhury, Paul Bogdan, Andrei Irimia +1 more

Neuroanatomical and clinical factors predicting future cognitive impairment

GeroScience(2024)10.1007/s11357-024-01310-0

N/A

0DataRank · unranked

3 citations

Nikhil N. Chaudhari, Nahian F. Chowdhury, Haoqing Wang, Xiaokun Yu, Anar Amgalan +2 more

White matter degradation near cerebral microbleeds is associated with cognitive change after mild traumatic brain injury

Neurobiology of Aging(2022)10.1016/j.neurobiolaging.2022.08.010

N/A

0DataRank · unranked

8 citations

Van Ngo, Nikhil N. Chaudhari, Fan Zhang, Shantanu H. Joshi, Anita Penkova +5 more

Prediction of cognitive outcome after mild traumatic brain injury from acute measures of communication within brain networks

Cortex(2023)10.1016/j.cortex.2023.10.022

N/A

0DataRank · unranked

3 citations

Nahian F. Chowdhury, Nikhil N. Chaudhari, Anar Amgalan, Govinda Poudel, Karen Caeyenberghs +2 more