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

Roy R. Lederman

Yale University

ORCID: 0000-0002-5080-4483
Biochemistry, Genetics and Molecular BiologyMaterials ScienceComputer ScienceMathematicsPhysics 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 10 papers. Top paper: “Approximating deformation fields for the analysis of continuous heterogeneity of biological macromolecules by 3D Zernike polynomials”.

Approximating deformation fields for the analysis of continuous heterogeneity of biological macromolecules by 3D Zernike polynomials

IUCrJ(2021)10.1107/s2052252521008903
N/A
0DataRank · unranked
22 citations

Roy R. Lederman, James Krieger, Amaya Jiménez-Moreno, Marta Martínez, David Myška +6 more

Estimating conformational landscapes from Cryo-EM particles by 3D Zernike polynomials

Nature Communications(2023)10.1038/s41467-023-35791-y
N/A
0DataRank · unranked
59 citations

Roy R. Lederman, James Krieger, Amaya Jiménez-Moreno, Marta Martínez, David Myška +5 more

Methods for Cryo-EM Single Particle Reconstruction of Macromolecules Having Continuous Heterogeneity

Journal of Molecular Biology(2023)10.1016/j.jmb.2023.168020
N/A
0DataRank · unranked
54 citations

Fred J. Sigworth, Roy R. Lederman, Bogdan Toader

Integrating Molecular Models Into CryoEM Heterogeneity Analysis Using Scalable High-resolution Deep Gaussian Mixture Models

Journal of Molecular Biology(2023)10.1016/j.jmb.2023.168014
N/A
0DataRank · unranked
26 citations

Bogdan Toader, Roy R. Lederman, Muyuan Chen

On Manifold Learning in Plato’s Cave: Remarks on Manifold Learning and Physical Phenomena

PubMed(2023)10.1109/sampta59647.2023.10301403
N/A
0DataRank · unranked
4 citations

Bogdan Toader, Roy R. Lederman

On Manifold Learning in Plato's Cave: Remarks on Manifold Learning and Physical Phenomena

arXiv (Cornell University)(2023)10.48550/arxiv.2304.14248
N/A
0DataRank · unranked
1 citations

Bogdan Toader, Roy R. Lederman

Geometric Ergodicity in Modified Variations of Riemannian Manifold and Lagrangian Monte Carlo

arXiv (Cornell University)(2023)10.48550/arxiv.2301.01409
N/A
0DataRank · unranked
0 citations

Vivekananda Roy, Roy R. Lederman, James A. Brofos

Maximum likelihood for high-noise group orbit estimation and single-particle cryo-EM

The Annals of Statistics(2024)10.1214/23-aos2292
N/A
0DataRank · unranked
5 citations

Roy R. Lederman, Yi Sun, Tianhao Wang, Sheng Xu, Zhou Fan

Extreme values of the Fiedler vector on trees

Linear Algebra and its Applications(2024)10.1016/j.laa.2024.09.014
N/A
0DataRank · unranked
0 citations

Stefan Steinerberger, Roy R. Lederman

Efficient high-resolution refinement in cryo-EM with stochastic gradient descent

Acta Crystallographica Section D Structural Biology(2025)10.1107/s205979832500511x
N/A
0DataRank · unranked
4 citations

Marcus A. Brubaker, Roy R. Lederman, Bogdan Toader