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

Yu-Chun Lin

The University of Texas at Austin

ORCID: 0000-0002-4839-8551

Biochemistry, Genetics and Molecular BiologyPhysics and AstronomyNeuroscience

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 2 papers. Top paper: “AMOEBA Force Field Trajectories Improve Predictions of Accurate pKa Values of the GFP Fluorophore: The Importance of Polarizability and Water Interactions”.

AMOEBA Force Field Trajectories Improve Predictions of Accurate pKa Values of the GFP Fluorophore: The Importance of Polarizability and Water Interactions

The Journal of Physical Chemistry B(2022)10.1021/acs.jpcb.2c03642

N/A

0DataRank · unranked

11 citations

Pengyu Ren, Lauren J. Webb, Yu-Chun Lin

AMOEBA Force Field Predicts Accurate Hydrogen Bond Counts of Nitriles in SNase by Revealing Water–Protein Interaction in Vibrational Absorption Frequencies

The Journal of Physical Chemistry B(2023)10.1021/acs.jpcb.3c02060

N/A

0DataRank · unranked

11 citations

Pengyu Ren, Lauren J. Webb, Yu-Chun Lin