Author

N. Cruz

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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Bioengineering· 1 Immunology· 1 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Assay:metabolomics· 1

Frequent Co-Authors

A. Ingraldi· 1 shared A. J. Tabor· 1 shared A. R. Goldman· 1 shared A. Savarino· 1 shared A. Singh· 1 shared A. Talbert· 1 shared B. Ensley· 1 shared B. Lucic· 1 shared

Activity by Year

2017-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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Curved chords = mutual co-authorship

1 shared paperBioengineering

A. Ingraldi

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

ImmunologybioRxivDec 30, 2020

Glycolysis downregulation is a hallmark of HIV-1 latency and sensitizes infected cells to oxidative stress

I. L. Shytaj, F. A. Procopio, M. Tarek…·A. Savarino

The paper shows that glycolysis downregulation is a hallmark of HIV-1 latency and that targeting antioxidant pathways can reactivate latent HIV-1.

DOI 10.15252/emmm.202013901

humanmetabolomics

𝕏 PostBluesky

BioengineeringbioRxivPreprintOct 1, 2020

Improved Wound Closure Rates and Mechanical Properties Resembling Native Skin in Murine Diabetic Wounds Treated with a Tropoelastin and Collagen Wound Healing Device

R. S. Kellar, R. Diller, A. J. Tabor…·B. Ensley

This study evaluates a tropoelastin and collagen scaffold for diabetic wound healing in mice, showing improved closure rates and tissue properties compared to a commercial matrix.

DOI 10.1101/2020.10.01.322636

mouseexperimental assay

𝕏 PostBluesky

Scientific Communication & EducationbioRxivNov 15, 2017

The impact factor fallacy

F. M. Paulus, N. Cruz, S. Krach

This paper critiques the use of journal impact factors to assess manuscript or scientist quality, arguing it relies on flawed reasoning and unwarranted inferences.

DOI 10.3389/fpsyg.2018.01487

statistical model

𝕏 PostBluesky