James B. Heidings

Biochemistry, Genetics and Molecular BiologyNeuroscience

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 4 papers. Top paper: “TDAExplore: Quantitative analysis of fluorescence microscopy images through topology-based machine learning”.

TDAExplore: Quantitative analysis of fluorescence microscopy images through topology-based machine learning

Patterns(2021)10.1016/j.patter.2021.100367

N/A

0.416DataRank · unranked

15 citations

Kristen Skruber, Nikola Milićević, James B. Heidings, Tracy‐Ann Read, Peter Bubenik +2 more

TDAExplore: quantitative image analysis through topology-based machine learning

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.06.13.448249

N/A

0DataRank · unranked

1 citations

Kristen Skruber, Nikola Milićević, James B. Heidings, Tracy‐Ann Read, Peter Bubenik +2 more

Structural basis for tunable control of actin dynamics by myosin-15 in mechanosensory stereocilia

Science Advances(2022)10.1126/sciadv.abl4733

N/A

0DataRank · unranked

57 citations

Fangfang Jiang, Zane G. Moreland, Matthew J. Reynolds, Santiago Espinosa de los Reyes, Pinar S. Gurel +6 more

Myosin-based nucleation of actin filaments contributes to stereocilia development critical for hearing

Nature Communications(2025)10.1038/s41467-025-55898-8

N/A

0DataRank · unranked

11 citations

Fangfang Jiang, Carlos Aguilar, Melanie Barzik, Rui Gong, Ghazaleh Behnammanesh +19 more