Taylor M. Weiskittel

Also affiliated with Mayo Clinic in Arizona

Biochemistry, Genetics and Molecular BiologyMedicineComputer 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 16 papers. Top paper: “Perceptions of Barriers and Facilitators to Becoming a Medical Professional Among Underrepresented Undergraduate and Postbaccalaureate Learners”.

Perceptions of Barriers and Facilitators to Becoming a Medical Professional Among Underrepresented Undergraduate and Postbaccalaureate Learners

Mayo Clinic Proceedings Innovations Quality & Outcomes(2021)10.1016/j.mayocpiqo.2021.01.003

N/A

0.524DataRank · unranked

32 citations

Dyda Dao, Soyun M. Hwang, Steven M. Dotzler, Sherry S. Chesak, Taylor M. Weiskittel +8 more

Machine Learning and Systems Biology Approaches to Characterize Dosage-Based Gene Dependencies in Cancer Cells

Journal of Bioinformatics and Systems Biology(2021)10.26502/jbsb.5107019

N/A

0.208DataRank · unranked

3 citations

Choong Yong Ung, Taylor M. Weiskittel, Alex Chen, Cheng Zhang, Cristina Correia +2 more

CHFR expression and sensitivity of breast cancer cells to antimitotic agents in vitro and in the I-SPY trial

npj Breast Cancer(2025)10.1038/s41523-025-00830-y

N/A

0.104DataRank · unranked

1 citations

Karen S. Flatten, Taylor M. Weiskittel, Annapoorna Venkatachalam, Annabella R. Strathman, Olivia K. Rossman +17 more

Manifold medicine: A schema that expands treatment dimensionality

Drug Discovery Today(2021)10.1016/j.drudis.2021.09.016

N/A

0DataRank · unranked

8 citations

Taylor M. Weiskittel, Cristina Correia, Scott H. Kaufmann, Hu Li, Choong Yong Ung

De novo individualized disease modules reveal the synthetic penetrance of genes and inform personalized treatment regimens

Genome Research(2021)10.1101/gr.275889.121

N/A

0DataRank · unranked

7 citations

Choong Yong Ung, Cristina Correia, Cheng Zhang, Hu Li, Taylor M. Weiskittel

Uncovering Pharmacological Opportunities for Cancer Stem Cells—A Systems Biology View

Frontiers in Cell and Developmental Biology(2022)10.3389/fcell.2022.752326

N/A

0DataRank · unranked

11 citations

Taylor M. Weiskittel, Choong Yong Ung, José C. Villasboas, Daniel D. Billadeau, Scott H. Kaufmann +2 more

A Knowledge-Based Discovery Approach Couples Artificial Neural Networks With Weight Engineering to Uncover Immune-Related Processes Underpinning Clinical Traits of Breast Cancer

Frontiers in Immunology(2022)10.3389/fimmu.2022.920669

N/A

0DataRank · unranked

7 citations

Cristina Correia, Taylor M. Weiskittel, Shyang Hong Tan, Kevin Meng-Lin, Grace Yu +6 more

Integrated molecular and multiparametric MRI mapping of high-grade glioma identifies regional biologic signatures

Nature Communications(2023)10.1038/s41467-023-41559-1

N/A

0DataRank · unranked

53 citations

Fulvio D’Angelo, Taylor M. Weiskittel, Francesca Pia Caruso, Shannon P. Fortin Ensign, Mylan Blomquist +55 more

Network Biology-Inspired Machine Learning Features Predict Cancer Gene Targets and Reveal Target Coordinating Mechanisms

Pharmaceuticals(2023)10.3390/ph16050752

N/A

0DataRank · unranked

10 citations

Andrew Cao, Kevin Meng-Lin, Zachary Lehmann, Benjamin Feng, Cristina Correia +6 more

SPIN-AI: A Deep Learning Model That Identifies Spatially Predictive Genes

Biomolecules(2023)10.3390/biom13060895

N/A

0DataRank · unranked

6 citations

Choong-Yong Ung, Cheng Zhang, Taylor M. Weiskittel, P. Wiśniewski, Z M Zhang +6 more

Peroxidase proximity selection to identify aptamers targeting a subcellular location

PNAS Nexus(2023)10.1093/pnasnexus/pgad151

N/A

0DataRank · unranked

2 citations

William F. Beimers, Maria Dugan, Taylor M. Weiskittel, L. James Maher, Brandon Wilbanks

Poly ADP Ribose Polymerase Inhibitors Potentiate Proton Therapy End-of-Range Effects by Accelerating Replication Forks and Promoting Transcription Conflict

International Journal of Radiation Oncology*Biology*Physics(2025)10.1016/j.ijrobp.2025.08.049

N/A

0DataRank · unranked

2 citations

Qin Zhou, Anna Dibbs, Bin Chen, Taylor M. Weiskittel, Nicholas B. Remmes +11 more

Characterization of a RAD51C -Silenced High Grade Serous Ovarian Cancer Model During PARP Inhibitor Resistance Development

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.12.25.419978

N/A

0DataRank · unranked

2 citations

Cordelia D. McGehee, Ksenija Nesic, Cristina Correia, Taylor M. Weiskittel, Rebecca L. Kelly +25 more

Aging-dependent dysregulation of EXOSC2 is maintained in cancer as a dependency

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.04.04.647279

N/A

0DataRank · unranked

0 citations

Cheng Zhang, Ezgi Hacisuleyman, Giuseppe Galleti, Chao Wu, Rajasekhar Vinagolu +21 more

Characterization of a RAD51C -silenced high-grade serous ovarian cancer model during development of PARP inhibitor resistance

NAR Cancer(2021)10.1093/narcan/zcab028

N/A

0DataRank · unranked

37 citations

Cordelia D. McGehee, Ksenija Nesic, Cristina Correia, Taylor M. Weiskittel, Rebecca L. Kelly +28 more

The Trifecta of Single-Cell, Systems-Biology, and Machine-Learning Approaches

Genes(2021)10.3390/genes12071098

N/A

0DataRank · unranked

20 citations

Cristina Correia, Grace Yu, Choong Yong Ung, Scott H. Kaufmann, Daniel D. Billadeau +2 more