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

Şölen Ekesan

Rutgers, The State University of New Jersey

ORCID: 0000-0002-5598-5754

Also affiliated with Quantitative BioSciences

Biochemistry, Genetics and Molecular BiologyMaterials 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

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 11 papers. Top paper: “Development of Range-Corrected Deep Learning Potentials for Fast, Accurate Quantum Mechanical/Molecular Mechanical Simulations of Chemical Reactions in Solution”.

Development of Range-Corrected Deep Learning Potentials for Fast, Accurate Quantum Mechanical/Molecular Mechanical Simulations of Chemical Reactions in Solution

Journal of Chemical Theory and Computation(2021)10.1021/acs.jctc.1c00201
N/A
0DataRank · unranked
106 citations

Timothy J. Giese, Şölen Ekesan, Darrin M. York, Jinzhe Zeng

Extension of the Variational Free Energy Profile and Multistate Bennett Acceptance Ratio Methods for High-Dimensional Potential of Mean Force Profile Analysis

The Journal of Physical Chemistry A(2021)10.1021/acs.jpca.1c00736
N/A
0DataRank · unranked
27 citations

Şölen Ekesan, Darrin M. York, Timothy J. Giese

Development of Range-Corrected Deep Learning Potentials for Fast, Accurate Quantum Mechanical/molecular Mechanical Simulations of Chemical Reactions in Solution

ChemRxiv(2021)10.26434/chemrxiv.14120447.v1
N/A
0DataRank · unranked
6 citations

Timothy J. Giese, Şölen Ekesan, Darrin M. York, Jinzhe Zeng

Development of Range-Corrected Deep Learning Potentials for Fast, Accurate Quantum Mechanical/molecular Mechanical Simulations of Chemical Reactions in Solution

ChemRxiv(2021)10.26434/chemrxiv.14120447
N/A
0DataRank · unranked
3 citations

Timothy J. Giese, Şölen Ekesan, Darrin M. York, Jinzhe Zeng

Combined QM/MM, Machine Learning Path Integral Approach to Compute Free Energy Profiles and Kinetic Isotope Effects in RNA Cleavage Reactions

Journal of Chemical Theory and Computation(2022)10.1021/acs.jctc.2c00151
N/A
0DataRank · unranked
42 citations

Jinzhe Zeng, Şölen Ekesan, Darrin M. York, Timothy J. Giese

Catalytic mechanism and pH dependence of a methyltransferase ribozyme (MTR1) from computational enzymology

Nucleic Acids Research(2023)10.1093/nar/gkad260
N/A
0DataRank · unranked
19 citations

Şölen Ekesan, Timothy J. Giese, Timothy J. Wilson, Jie Deng, Lin Huang +3 more

Dissociative Transition State in Hepatitis Delta Virus Ribozyme Catalysis

Journal of the American Chemical Society(2023)10.1021/jacs.2c10079
N/A
0DataRank · unranked
12 citations

Şölen Ekesan, Hsuan-Chun Lin, Shahbaz Gardezi, Nan‐Sheng Li, Timothy J. Giese +5 more

Software Infrastructure for Next-Generation QM/MM−ΔMLP Force Fields

The Journal of Physical Chemistry B(2024)10.1021/acs.jpcb.4c01466
N/A
0DataRank · unranked
29 citations

Jinzhe Zeng, Lauren Lerew, Erika McCarthy, Yujun Tao, Şölen Ekesan +2 more

The Role of General Acid Catalysis in the Mechanism of an Alkyl Transferase Ribozyme

ACS Catalysis(2024)10.1021/acscatal.4c04571
N/A
0DataRank · unranked
15 citations

Erika McCarthy, Şölen Ekesan, Timothy J. Giese, Nan‐Sheng Li, Lin Huang +4 more

Surface-Accelerated String Method for Locating Minimum Free Energy Paths

Journal of Chemical Theory and Computation(2024)10.1021/acs.jctc.3c01401
N/A
0DataRank · unranked
11 citations

Şölen Ekesan, Erika McCarthy, Yujun Tao, Darrin M. York, Timothy J. Giese

Mutation-driven RRE stem-loop II conformational change induces HIV-1 nuclear export dysfunction

Nucleic Acids Research(2025)10.1093/nar/gkaf583
N/A
0DataRank · unranked
1 citations

Lucia Hudson, Amanda Photenhauer, Trinity Zang, Lauren Lerew, Şölen Ekesan +9 more