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

Victoria A. Webster‐Wood

McGowan Institute for Regenerative Medicine

ORCID: 0000-0001-6638-2687

Also affiliated with Carnegie Mellon University

EngineeringPhysics and Astronomy

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 3 papers. Top paper: “Human subcutaneous adipose tissue variability is driven by VEGFA, ACTA2, adipocyte density, and ancestral history of the patient”.

Human subcutaneous adipose tissue variability is driven by VEGFA, ACTA2, adipocyte density, and ancestral history of the patient

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.05.31.543052

N/A

0DataRank · unranked

1 citations

Elizabeth K. Johnston, Jacqueline V. Scott, Erica Ilzuka, W. Sun, Victoria A. Webster‐Wood +2 more

A computational neural model that incorporates both intrinsic dynamics and sensory feedback in the Aplysia feeding network

Biological Cybernetics(2024)10.1007/s00422-024-00991-2

N/A

0DataRank · unranked

4 citations

Victoria A. Webster‐Wood, Jeffrey P. Gill, Gregory P. Sutton, Hillel J. Chiel, Roger D. Quinn +1 more

AggreBots: Configuring CiliaBots through guided, modular tissue aggregation

Science Advances(2025)10.1126/sciadv.adx4176

N/A

0DataRank · unranked

0 citations

Kian Golestan, Xuanshuo Zhang, Shihong Yang, Zhuowei Gong, Steven L. Brody +5 more