Dmitry Korkin

Biochemistry, Genetics and Molecular Biology

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: “A hybrid deep clustering approach for robust cell type profiling using single-cell RNA-seq data”.

A hybrid deep clustering approach for robust cell type profiling using single-cell RNA-seq data

RNA(2020)10.1261/rna.074427.119

N/A

0DataRank · unranked

21 citations

Anastasia Leshchyk, Nathan Johnson, Dmitry Korkin, Suhas Srinivasan

Predicting protein interaction network perturbation by alternative splicing with semi-supervised learning

Cell Reports(2021)10.1016/j.celrep.2021.110045

N/A

0DataRank · unranked

11 citations

Nathan Johnson, Dmitry Korkin, Oleksandr Narykov

Asymmetric trichotomous data partitioning enables development of predictive machine learning models using limited siRNA efficacy datasets

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.07.08.499317

N/A

0DataRank · unranked

0 citations

Dmitry Korkin, Anastasia Khvorova, Kathryn Monopoli

Divalent siRNAs are bioavailable in the lung and efficiently block SARS-CoV-2 infection

Proceedings of the National Academy of Sciences(2023)10.1073/pnas.2219523120

N/A

0DataRank · unranked

48 citations

Minwook Shin, Ching‐Wen Chang, Daniel O’Reilly, Annabelle Biscans, Ken Yamada +41 more

Asymmetric trichotomous partitioning overcomes dataset limitations in building machine learning models for predicting siRNA efficacy

Molecular Therapy — Nucleic Acids(2023)10.1016/j.omtn.2023.06.010

N/A

0DataRank · unranked

25 citations

Dmitry Korkin, Anastasia Khvorova, Kathryn R. Monopoli

Finding shortest and nearly shortest path nodes in large substantially incomplete networks by hyperbolic mapping

Nature Communications(2023)10.1038/s41467-022-35181-w

N/A

0DataRank · unranked

18 citations

Alexander A. Ganin, Ahmed Elmokashfi, Hongzhu Cui, Daniel A. Eisenberg, David Alderson +3 more

Single-cell long-read mRNA isoform regulation is pervasive across mammalian brain regions, cell types, and development

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.04.02.535281

N/A

0DataRank · unranked

14 citations

Wen Hu, Bei Zhang, Oleksandr Narykov, Mark Diekhans, Jennifer Balacco +9 more

Single-cell long-read sequencing-based mapping reveals specialized splicing patterns in developing and adult mouse and human brain

Nature Neuroscience(2024)10.1038/s41593-024-01616-4

N/A

0DataRank · unranked

105 citations

Wen Hu, Bei Zhang, Oleksandr Narykov, Mark Diekhans, Jordan Marrocco +10 more

Diverse intrinsic properties shape transcript stability and stabilization in Mycolicibacterium smegmatis

NAR Genomics and Bioinformatics(2024)10.1093/nargab/lqae147

N/A

0DataRank · unranked

4 citations

Diego A. Vargas-Blanco, Ying Zhou, Catherine S. Masiello, Jessica M. Kelly, Justin K. Moy +3 more

Graph Convolutional Network for predicting secondary structure of RNA

Research Square(2024)10.21203/rs.3.rs-3798842/v1

N/A

0DataRank · unranked

1 citations

Aukkawut Ammartayakun, Palawat Busaranuvong, Roya Khosravi‐Far, Dmitry Korkin

A spatial long-read approach at near-single-cell resolution reveals developmental regulation of splicing and polyadenylation sites in distinct cortical layers and cell types

Nature Communications(2025)10.1038/s41467-025-63301-9

N/A

0DataRank · unranked

13 citations

Andrey D. Prjibelski, Wen Hu, Lieke Michielsen, Andrea Vandelli, Oleksandr Narykov +12 more