Grigoriy Gogoshin

Also affiliated with City of Hope, Beckman Research Institute

Biochemistry, Genetics and Molecular BiologyComputer Science

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 14 papers. Top paper: “Dissecting Response to Cancer Immunotherapy by Applying Bayesian Network Analysis to Flow Cytometry Data”.

Dissecting Response to Cancer Immunotherapy by Applying Bayesian Network Analysis to Flow Cytometry Data

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.06.14.151100

N/A

0DataRank · unranked

4 citations

Grigoriy Gogoshin, Seth Hilliard, Lei Wang, Colt A. Egelston, Russell C. Rockne +3 more

Dissecting Response to Cancer Immunotherapy by Applying Bayesian Network Analysis to Flow Cytometry Data

International Journal of Molecular Sciences(2021)10.3390/ijms22052316

N/A

0DataRank · unranked

19 citations

Grigoriy Gogoshin, Seth Hilliard, Lei Wang, Colt A. Egelston, Russell C. Rockne +3 more

Resolution Limit in Statistical Independence and Bayesian Network Scoring Functions

Preprints.org(2022)10.20944/preprints202202.0254.v1

N/A

0DataRank · unranked

0 citations

Andréi S. Rodin, Grigoriy Gogoshin

Graph Neural Networks in Cancer and Oncology Research: Emerging and Future Trends

Cancers(2023)10.3390/cancers15245858

N/A

0DataRank · unranked

45 citations

Andréi S. Rodin, Grigoriy Gogoshin

Bow-tie architectures in biological and artificial neural networks: Implications for network evolution and assay design

iScience(2023)10.1016/j.isci.2023.106041

N/A

0DataRank · unranked

13 citations

Karen Mosoyan, Sergio Branciamore, Grigoriy Gogoshin, Alvin Zhang, Diana L. Simons +4 more

Graph Neural Networks in Cancer and Oncology Research: Emerging and Future Trends

Preprints.org(2023)10.20944/preprints202310.1655.v1

N/A

0DataRank · unranked

10 citations

Andréi S. Rodin, Grigoriy Gogoshin

The Human Brainome: changes in expression of VGF, SPECC1L, HLA-DRA and RANBP3L act with APOE E4 to alter risk for late onset Alzheimer’s disease

Research Square(2023)10.21203/rs.3.rs-3678057/v1

N/A

0DataRank · unranked

1 citations

Grigoriy Gogoshin, Andréi S. Rodin, Amanda Myers, Sergio Branciamore

Bayesian network models identify cooperative GPCR:G protein interactions that contribute to G protein coupling

Journal of Biological Chemistry(2024)10.1016/j.jbc.2024.107362

N/A

0DataRank · unranked

14 citations

Ning Ma, Wijnand J. C. van der Velden, Grigoriy Gogoshin, Sergio Branciamore, S. Bhattacharya +3 more

Minimum uncertainty as Bayesian network model selection principle

BMC Bioinformatics(2025)10.1186/s12859-025-06104-5

N/A

0DataRank · unranked

7 citations

Andréi S. Rodin, Grigoriy Gogoshin

Changes in expression of VGF, SPECC1L, HLA-DRA and RANBP3L act with APOE E4 to alter risk for late onset Alzheimer’s disease

Scientific Reports(2024)10.1038/s41598-024-65010-7

N/A

0DataRank · unranked

4 citations

Grigoriy Gogoshin, Andréi S. Rodin, Amanda Myers, Sergio Branciamore

Minimum Statistical Uncertainty as Bayesian Network Model Selection Principle

Preprints.org(2024)10.20944/preprints202202.0254.v3

N/A

0DataRank · unranked

3 citations

Andréi S. Rodin, Grigoriy Gogoshin

BaNDyT: Bayesian Network modeling of molecular Dynamics Trajectories

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.11.06.622318

N/A

0DataRank · unranked

3 citations

Babgen Manookian, Hanyu Chen, Ning Ma, Wenyuan Wei, Konstancja Urbaniak +6 more

Regulation of Enhancers by SUMOylation Through TFAP2C Binding and Recruitment of HDAC Complex to the Chromatin

Research Square(2024)10.21203/rs.3.rs-4201913/v1

N/A

0DataRank · unranked

0 citations

Xiwei Wu, Shih‐Ting Huang, Grace Aldana Masangkay, Andréi S. Rodin, Sergio Branciamore +7 more

Bayesian Network Structure Learning: The New Calibrated Minimum Uncertainty Criterion and a Statistical Error Estimation Framework

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.10.13.681946

N/A

0DataRank · unranked

0 citations

Andréi S. Rodin, Grigoriy Gogoshin