Geeta Mehta

Also affiliated with Institute of Macromolecular Chemistry, Digital Science (United States), Michigan Medicine, Unidad de Investigación en Salud Digital, U-M Rogel Cancer Center

MedicineEngineeringMathematicsChemistry

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: “Phase II clinical trial of metformin as a cancer stem cell–targeting agent in ovarian cancer”.

Phase II clinical trial of metformin as a cancer stem cell–targeting agent in ovarian cancer

JCI Insight(2020)10.1172/jci.insight.133247

N/A

3.2DataRank · unranked

193 citations

Daniel Chan, Jessica Shank, Kent A. Griffith, Huihui Fan, Robert Szulawski +17 more

Injectable three-dimensional tumor microenvironments to study mechanobiology in ovarian cancer

Acta Biomaterialia(2022)10.1016/j.actbio.2022.04.039

N/A

0.406DataRank · unranked

14 citations

Caymen M. Novak, Kathleen M Burkhard, Catherine S. Snyder, Rhea Verma, Darel E. Crochran +8 more

The Role of the Tumor Microenvironment in CSC Enrichment and Chemoresistance: 3D Co-culture Methods

Methods in molecular biology(2021)10.1007/978-1-0716-1956-8_15

N/A

0.373DataRank · unranked

11 citations

Eric N. Horst, Pooja Mehta, Catherine S. Snyder, Taylor Repetto, Geeta Mehta +1 more

A Bioreactor for 3D In Vitro Modeling of the Mechanical Stimulation of Osteocytes

Frontiers in Bioengineering and Biotechnology(2022)10.3389/fbioe.2022.797542

N/A

0.330DataRank · unranked

8 citations

Eric N. Horst, Dylan B. Neale, Sonya Royzenblat, Joerg Lahann, Colin F. Greineder +4 more

Cracking the code: predicting tumor microenvironment enabled chemoresistance with machine learning in the human tumoroid models

npj Biomedical Innovations.(2025)10.1038/s44385-025-00032-y

N/A

0.104DataRank · unranked

1 citations

Pooja Mehta, Kathleen M Burkhard, Geeta Mehta, Michael E. Bregenzer

Tumoroid model recreates clinically relevant phenotypes of high grade serous ovarian cancer (HGSC) cells, carcinoma associated fibroblasts, and macrophages

Research Square(2025)10.21203/rs.3.rs-6614892/v1

N/A

0DataRank · unranked

1 citations

Ayush Semwal, Ben K. Johnson, Kristina Chu, Riley Kranick, Mihika Rayan +4 more

Cracking the Code: Predicting Tumor Microenvironment Enabled Chemoresistance with Machine Learning in the Human Tumoroid Models

Research Square(2025)10.21203/rs.3.rs-5159414/v1

N/A

0DataRank · unranked

0 citations

Michael E. Bregenzer, Pooja Mehta, Kathleen M Burkhard, Geeta Mehta

Expansion of Circulating Tumor Cells from Patients with Locally Advanced Pancreatic Cancer Enable Patient Derived Xenografts and Functional Studies for Personalized Medicine

Cancers(2020)10.3390/cancers12041011

N/A

0DataRank · unranked

50 citations

Ines Lohse, Eric Lin, Shreya Raghavan, Sarah Owen, Ramdane Harouaka +7 more

The MEK1/2 Pathway as a Therapeutic Target in High-Grade Serous Ovarian Carcinoma

Cancers(2021)10.3390/cancers13061369

N/A

0DataRank · unranked

29 citations

Imran Khan, Yeonjung Park, Jessica Ezell, Geeta Mehta, Abdelrahman Yousif +5 more

Personalized models of heterogeneous 3D epithelial tumor microenvironments: Ovarian cancer as a model

Acta Biomaterialia(2021)10.1016/j.actbio.2021.04.041

N/A

0DataRank · unranked

23 citations

Michael E. Bregenzer, Pooja Mehta, Catherine S. Snyder, Taylor Repetto, Yang Yang‐Hartwich +2 more

Surfaces with instant and persistent antimicrobial efficacy against bacteria and SARS-CoV-2

Matter(2022)10.1016/j.matt.2022.08.018

N/A

0DataRank · unranked

22 citations

Taylor Repetto, Dylan Bartikofsky, Carmen Mirabelli, Zhihe Gao, Sarah A. Snyder +6 more