Suzanna E. Ledgister Hanchard

National Human Genome Research Institute

Biochemistry, Genetics and Molecular BiologyComputer ScienceMedicine

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 5 papers. Top paper: “Neural Networks for Classification and Image Generation of Aging in Genetic Syndromes”.

Neural Networks for Classification and Image Generation of Aging in Genetic Syndromes

Frontiers in Genetics(2022)10.3389/fgene.2022.864092

N/A

0DataRank · unranked

29 citations

Ping Hu, Cedrik Tekendo‐Ngongang, Suzanna E. Ledgister Hanchard, Simon Liu, Benjamin D. Solomon +2 more

Scoping review and classification of deep learning in medical genetics

Genetics in Medicine(2022)10.1016/j.gim.2022.04.025

N/A

0DataRank · unranked

23 citations

Michelle C. Dwyer, Simon Liu, Ping Hu, Cedrik Tekendo‐Ngongang, Rebekah L. Waikel +3 more

Assessing large language model performance related to aging in genetic conditions

npj Aging(2025)10.1038/s41514-025-00226-z

N/A

0DataRank · unranked

3 citations

Kendall A. Flaharty, Suzanna E. Ledgister Hanchard, Ping Hu, Dat Duong, Rebekah L. Waikel +2 more

Assessing Large Language Model Performance Related to Aging in Genetic Conditions

medRxiv(2025)10.1101/2025.01.19.25320798

N/A

0DataRank · unranked

1 citations

Kendall A. Flaharty, Suzanna E. Ledgister Hanchard, Ping Hu, Dat Duong, Rebekah L. Waikel +2 more

Application of deep learning and explainable AI-supported medical decision-making for facial phenotyping in genetic syndromes

medRxiv(2025)10.1101/2025.06.08.25328588

N/A

0DataRank · unranked

1 citations

Tobias Huber, Jiayi Cheng, Dat Duong, Suzanna E. Ledgister Hanchard, Cristina Conati +4 more