Kathleen M Burkhard

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 4 papers. Top paper: “Injectable three-dimensional tumor microenvironments to study mechanobiology in ovarian cancer”.

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

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

N/A

0DataRank · unranked

13 citations

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

0DataRank · 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