Junha Shin

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 9 papers. Top paper: “Data integration for inferring context-specific gene regulatory networks”.

Data integration for inferring context-specific gene regulatory networks

Current Opinion in Systems Biology(2020)10.1016/j.coisb.2020.09.005

N/A

0.449DataRank · unranked

19 citations

Junha Shin, Shilu Zhang, Sushmita Roy, Brittany Baur

Leveraging epigenomes and three-dimensional genome organization for interpreting regulatory variation

PLoS Computational Biology(2023)10.1371/journal.pcbi.1011286

N/A

0.253DataRank · unranked

4 citations

Junha Shin, Jacob Matthew Schreiber, Shilu Zhang, Yi Zhang, Mohith Manjunath +4 more

Species-specific gene regulatory network rewiring mediated by the GATA-type regulator NsdD in Aspergillus

mBio(2025)10.1128/mbio.01181-25

N/A

0.241DataRank · unranked

4 citations

Mi-Kyung Lee, Junha Shin, Sung Chul Park, Julio C. Rivera Vazquez, Daniel Amador‐Noguez +5 more

Leveraging epigenomes and three-dimensional genome organization for interpreting regulatory variation

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.08.29.458098

N/A

0.234DataRank · unranked

3 citations

Jacob Matthew Schreiber, Junha Shin, Shilu Zhang, Yi Zhang, Mohith Manjunath +4 more

Identifying strengths and weaknesses of methods for computational network inference from single cell RNA-seq data

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.06.01.446671

N/A

0DataRank · unranked

11 citations

Alireza Fotuhi Siahpirani, Jiaxin Li, Saptarshi Pyne, Matthew R. Stone, Viswesh Periyasamy +3 more

Identifying strengths and weaknesses of methods for computational network inference from single-cell RNA-seq data

G3 Genes Genomes Genetics(2023)10.1093/g3journal/jkad004

N/A

0DataRank · unranked

53 citations

Alireza Fotuhi Siahpirani, Jiaxin Li, Saptarshi Pyne, Matthew R. Stone, Viswesh Periyasamy +3 more

Transcriptome-wide transmission disequilibrium analysis identifies novel risk genes for autism spectrum disorder

PLoS Genetics(2021)10.1371/journal.pgen.1009309

N/A

0DataRank · unranked

23 citations

Yuchang Wu, Junha Shin, Ye Zheng, Alireza Fotuhi Siahpirani, Yupei Lin +8 more

Identification of FMR1-regulated molecular networks in human neurodevelopment

Genome Research(2020)10.1101/gr.251405.119

N/A

0DataRank · unranked

68 citations

Junha Shin, Ryan D. Risgaard, Molly Parries, Jianyi Wang, Deborah Chasman +5 more

Defining the role of β-cell IRE1α/XBP1 pathway and its gene regulatory network components in non-obese diabetic mice

Nature Communications(2025)10.1038/s41467-025-65635-w

N/A

0DataRank · unranked

3 citations

Khagani Eynullazada, Qianqian Ou, Junha Shin, Sushmita Roy, Feyza Engin +1 more