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

Josh Fass

ORCID: 0000-0003-3719-266X
Biochemistry, Genetics and Molecular BiologyComputer ScienceMaterials SciencePhysics 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

1in 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 1 indexed paper 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 →

Papers

Driven by 7 papers. Top paper: “Fitting quantum machine learning potentials to experimental free energy data: predicting tautomer ratios in solution”.

Fitting quantum machine learning potentials to experimental free energy data: predicting tautomer ratios in solution

Chemical Science(2021)10.1039/d1sc01185e
N/A
0.561DataRank · unranked
41 citations

Josh Fass, John D. Chodera, Marcus Wieder

Proteomic Barcoding Platform for Macromolecular Screening and Delivery

Journal of Proteome Research(2024)10.1021/acs.jproteome.4c00068
N/A
0.165DataRank · unranked
2 citations

Nicole McNeer, Elliot O. Eton, Josh Fass, Alex Kentsis, Ning Wang

Fitting quantum machine learning potentials to experimental free energy data: Predicting tautomer ratios in solution

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.10.24.353318
N/A
0DataRank · unranked
15 citations

Josh Fass, John D. Chodera, Marcus Wieder

Towards chemical accuracy for alchemical free energy calculations with hybrid physics-based machine learning / molecular mechanics potentials

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.07.29.227959
N/A
0DataRank · unranked
108 citations

Hannah E. Bruce Macdonald, Josh Fass, Marcus Wieder, Patrick Grinaway, Adrián E. Roitberg +3 more

End-to-end differentiable construction of molecular mechanics force fields

Chemical Science(2022)10.1039/d2sc02739a
N/A
0DataRank · unranked
92 citations

Josh Fass, Benjamin Kaminow, John E. Herr, Dominic A. Rufa, Ivy Zhang +6 more

Teaching free energy calculations to learn from experimental data

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.08.24.457513
N/A
0DataRank · unranked
15 citations

Josh Fass, John D. Chodera, Marcus Wieder

Capturing non-local through-bond effects in molecular mechanics force fields I: Fragmenting molecules for quantum chemical torsion scans [Article v1.1]

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.08.27.270934
N/A
0DataRank · unranked
15 citations

Christopher I. Bayly, Daniel G. A. Smith, Josh Fass, Lee‐Ping Wang, David L. Mobley +2 more