Author

J. Molnar

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Miller· 1 shared A. S. Stein· 1 shared B. Kumar· 1 shared D. A. Vallera· 1 shared D. Colcher· 1 shared D. Zuro· 1 shared E. Vickers· 1 shared F. Runa· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperCancer Biology

A. Miller

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2 papers

Recent·Most cited

A SNAI2-PEAK1 stromal axis drives progression and lapatinib resistance in HER2-positive breast cancer by supporting a cytokine expression profile that converges on PI3K/Akt signaling

S. Hamalian, R. Güth, F. Runa, J. Molnar, E. Vickers, M. Agajanian, J. D. Humphries, M. J. Humphries, J. C. Tchou, I. Zervantonakis, J. Kelber

bioRxiv · May 15, 2020Cancer Biology

AML ImmunoPET: 64Cu-DOTA-anti-CD33 PET-CT imaging of AML in Xenograft mouse model

S. S. Madabushi, J. L. Brooks, D. Zuro, B. Kumar, J. Sanchez, L. Echavarria Parra, M. Orellana, P. Vishwasrao, I. Nair, J. Chea, K. Poku, N. Bowles, A. Miller, T. Ebner, J. Molnar, , S. K. Hui

This paper develops a 64Cu-DOTA-anti-CD33 PET-CT imaging method for detecting AML in xenograft mouse models with high sensitivity and specificity, showing spatial heterogeneity in disease distribution.

bioRxiv · May 10, 2019 · PreprintCancer Biology