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

M. Charles Liberman

Massachusetts Eye and Ear Infirmary

ORCID: 0000-0002-1973-1730

Also affiliated with Harvard University, Baylor University, University of California, Los Angeles, Eaton (United States), University of Sheffield

NeuroscienceHealth ProfessionsEngineering

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 5%percentile
0.378Author 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.

Large-scale annotated dataset for cochlear hair cell detection and classification

Scientific Data(2024)10.1038/s41597-024-03218-y
Top 48%
0.378DataRank
Top 48%10 citations

David B. Rosenberg, Rubina G. Simikyan, Richard T. Osgood, Katharine Fernandez, Hidetomi Nitta +39 more

Papers

Driven by 14 papers — median percentile 26. Top paper: “Large-scale annotated dataset for cochlear hair cell detection and classification”.

Large-scale annotated dataset for cochlear hair cell detection and classification

Scientific Data(2024)10.1038/s41597-024-03218-y
Top 48%
0.378DataRank
Top 48%10 citations

David B. Rosenberg, Rubina G. Simikyan, Richard T. Osgood, Katharine Fernandez, Hidetomi Nitta +39 more

Age-related reduction in frequency-following responses as a potential marker of cochlear neural degeneration

Hearing Research(2021)10.1016/j.heares.2021.108411
N/A
0DataRank · unranked
31 citations

Gerard Encina-Llamas, Torsten Dau, M. Charles Liberman, Pei‐zhe Wu, Jens Hjortkjær +1 more

Predicting neural deficits in sensorineural hearing loss from word recognition scores

Scientific Reports(2022)10.1038/s41598-022-13023-5
N/A
0DataRank · unranked
43 citations

Aravindakshan Parthasarathy, Viacheslav Vasilkov, Benjamin Caswell-Midwinter, Maria E. Freitas, Victor De Gruttola +4 more

Three-dimensional quantification of fibrosis and ossification after cochlear implantation via virtual re-sectioning: Potential implications for residual hearing

Hearing Research(2022)10.1016/j.heares.2022.108681
N/A
0DataRank · unranked
28 citations

MengYu Zhu, Pei‐zhe Wu, Jennifer T. O’Malley, Joseph B. Nadol, M. Charles Liberman +4 more

Cochlear Neurotrophin‐3 overexpression at mid‐life prevents age‐related inner hair cell synaptopathy and slows age‐related hearing loss

Aging Cell(2022)10.1111/acel.13708
N/A
0DataRank · unranked
25 citations

Lingchao Ji, Beatriz C. Borges, Nathan D. Cass, Aditi S. Desai, David C. Kohrman +3 more

Cochlear Neurotrophin-3 overexpression at mid-life prevents age-related cochlear synaptopathy and slows age-related hearing loss

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.04.05.487225
N/A
0DataRank · unranked
1 citations

Lingchao Ji, Beatriz C. Borges, Nathan D. Cass, Aditi S. Desai, David C. Kohrman +3 more

Inner hair cell synapse density influences auditory processing

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.05.02.490340
N/A
0DataRank · unranked
1 citations

Beatriz C. Borges, David T. Martel, Calvin Wu, M. Charles Liberman, Susan E. Shore +2 more

Isolating auditory-nerve contributions to electrocochleography by high-pass filtering: A better biomarker for cochlear nerve degeneration?

JASA Express Letters(2023)10.1121/10.0017328
N/A
0DataRank · unranked
13 citations

M. Charles Liberman, Stéphane F. Maison, Viacheslav Vasilkov

Large-scale annotated dataset for cochlear hair cell detection and classification

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.08.30.553559
Top 100%
0DataRank
Top 100%0 citations

David B. Rosenberg, Rubina G. Simikyan, Richard T. Osgood, Katharine Fernandez, Hidetomi Nitta +38 more

From hidden hearing loss to supranormal auditory processing by neurotrophin 3-mediated modulation of inner hair cell synapse density

PLoS Biology(2024)10.1371/journal.pbio.3002665
N/A
0DataRank · unranked
15 citations

Beatriz C. Borges, David T. Martel, Calvin Wu, M. Charles Liberman, Susan E. Shore +2 more

On the Difficulty Predicting Word Recognition Performance After Cochlear Implantation

Otology & Neurotology(2024)10.1097/mao.0000000000004176
N/A
0DataRank · unranked
5 citations

Samantha E. Hoffman, Amy F. Juliano, Pei‐zhe Wu, Yan Zhao, Victor De Gruttola +3 more

Modeling the impact of cochlear nerve degeneration on speech recognition performance

PLoS ONE(2025)10.1371/journal.pone.0336299
N/A
0DataRank · unranked
4 citations

M. Charles Liberman, Stéphane F. Maison, Viacheslav Vasilkov

Envelope following responses predict speech-in-noise performance in normal-hearing listeners

Journal of Neurophysiology(2021)10.1152/jn.00620.2020
N/A
0DataRank · unranked
76 citations

Sarah Verhulst, Kenneth E. Hancock, Markus Garrett, Viacheslav Vasilkov, Kara Bennett +4 more

Cochlear histopathology in macaques after noise-induced temporary threshold shifts

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.11.14.688497
N/A
0DataRank · unranked
1 citations

Chase A. Mackey, Andrew K. Conner, C. A. Alek, D. Pitchford, Oscar Rausis +5 more