George Zaki

Frederick National Laboratory for Cancer Research

MedicineComputer ScienceBiochemistry, 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 Deep Learning Pipeline for Nucleus Segmentation”.

A Deep Learning Pipeline for Nucleus Segmentation

Cytometry Part A(2020)10.1002/cyto.a.24257

N/A

0DataRank · unranked

19 citations

Prabhakar R. Gudla, Kyunghun Lee, Justin J. Kim, Laurent Ozbun, Sigal Shachar +7 more

A Deep Learning Pipeline for Nucleus Segmentation

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.04.14.041020

N/A

0DataRank · unranked

2 citations

Prabhakar R. Gudla, Kyunghun Lee, Justin Kim, Laurent Ozbun, Sigal Shachar +7 more

Dynamic imaging of nascent RNA reveals general principles of transcription dynamics and stochastic splice site selection

Cell(2021)10.1016/j.cell.2021.04.012

N/A

0DataRank · unranked

208 citations

Dimitrios G. Anastasakis, Joseph Rodriguez, Murali Palangat, Prabhakar R. Gudla, George Zaki +6 more

A cross-study analysis of drug response prediction in cancer cell lines

Briefings in Bioinformatics(2021)10.1093/bib/bbab356

N/A

0DataRank · unranked

99 citations

Jonathan Allen, Prasanna Balaprakash, Thomas Brettin, Cristina García–Cardona, Austin Clyde +19 more

Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group

Clinical Cancer Research(2022)10.1158/1078-0432.ccr-22-1663

N/A

0DataRank · unranked

28 citations

Hyun Jung, G. Thomas Brown, Yanling Liu, Ben Somerville, Curtis Lisle +20 more

MAIT cells have a negative impact on glioblastoma

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.07.17.499189

N/A

0DataRank · unranked

1 citations

Taijun Hana, Alex Lee, Noemi Kedei, Nargis Malik, Hye Min Kim +16 more

Deep Learning Model Imputes Missing Stains in Multiplex Images

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.11.21.568088

N/A

0DataRank · unranked

4 citations

Wiem Lassoued, Kenneth Canubas, Shania Bailey, Yanling Liu, Clint Allen +7 more

Data from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group

(2023)10.1158/1078-0432.c.6532878.v1

N/A

0DataRank · unranked

0 citations

Hyun Jung, G. Thomas Brown, Yanling Liu, Ben Somerville, Curtis Lisle +20 more

Characterization of MAIT cells in glioblastoma reveals a potential immunosuppressive role through a MAIT-neutrophil axis

Neuro-Oncology Advances(2025)10.1093/noajnl/vdaf173

N/A

0DataRank · unranked

3 citations

Taijun Hana, Alexander Lee, Noémi Kedei, Nargis Malik, Hye Min Kim +16 more

SPAC: a scalable, integrated enterprise platform for end-to-end single cell spatial analysis of multiplexed tissue imaging

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.04.02.646782

N/A

0DataRank · unranked

3 citations

Rui He, Thomas Sheeley, David A. Scheiblin, Stephen Lockett, Lisa A. Ridnour +5 more

Single Cell Spatial Transcriptomics Reveals Immunotherapy-Driven Bone Marrow Niche Remodeling in AML

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.01.24.634753

N/A

0DataRank · unranked

2 citations

Molly A. Bingham, Julius Raimund Herzog, Abigail Wong-Rolle, Laura W. Dillon, Meghali Goswami +13 more