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

Süleyman Selim Çınaroğlu

Ege University

ORCID: 0000-0001-7120-3540
Computer ScienceBiochemistry, Genetics and Molecular BiologyMedicine

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 4 papers. Top paper: “Molecular modelling of the FOXO4-TP53 interaction to design senolytic peptides for the elimination of senescent cancer cells”.

Molecular modelling of the FOXO4-TP53 interaction to design senolytic peptides for the elimination of senescent cancer cells

EBioMedicine(2021)10.1016/j.ebiom.2021.103646
N/A
0.561DataRank · unranked
41 citations

Süleyman Selim Çınaroğlu, Elise C. Manalo, Aysegul Ors, Michelle M. Gomes, Burcin Duan Sahbaz +14 more

Application of established computational techniques to identify potential SARS-CoV-2 Nsp14-MTase inhibitors in low data regimes

Digital Discovery(2024)10.1039/d4dd00006d
N/A
0.345DataRank · unranked
9 citations

Matthew F. D. Hurley, Fengling Li, Eva Konkoľová, Martin Klíma, Jana Trylčová +21 more

Computed Protein–Protein Enthalpy Signatures as a Tool for Identifying Conformation Sampling Problems

Journal of Chemical Information and Modeling(2023)10.1021/acs.jcim.3c01041
N/A
0.208DataRank · unranked
3 citations

Philip C. Biggin, Süleyman Selim Çınaroğlu

Drug Discovery in Low Data Regimes: Leveraging a Computational Pipeline for the Discovery of Novel SARS-CoV-2 Nsp14-MTase Inhibitors

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.10.03.560722
N/A
0.165DataRank · unranked
2 citations

Matthew F. D. Hurley, Fengling Li, Eva Konkoľová, Martin Klíma, Jana Trylčová +21 more