Noelle E. Huskey

1.7k citations
10 papers · 1.2k · 1 hit paper · h-index 9

Impact in

    • Endoplasmic Reticulum Stress and Disease
    • Microtubule and mitosis dynamics
    • MicroRNA in disease regulation

Papers in

    • Ubiquitin and proteasome pathways 2
    • Pluripotent Stem Cells Research 2
    • Epigenetics and DNA Methylation 1
    • Cancer-related Molecular Pathways 5

Noelle E. Huskey

10 papers receiving 1.2k citations

Noelle E. Huskey's Hit Papers

IRE1α Cleaves Select microRNAs During ER Stress to Derepress Translation of Proapoptotic Caspase-2 2012 · 537 citations
5370+4+9Years since publication100200300400500

Peers

Noelle E. Huskey
Comparison fields: 5 of 75
  • Cell Biology 486
  • Cancer Research 217
  • Aging 17
  • Molecular Biology 629
  • Epidemiology 274
Replace Aparna C. Ranganathan with:
Aparna C. Ranganathan United States
Michelle D. Larrea United States
Dianhua Qiao United States
Zaher Nahlé United States
Pablo E. Hollstein United States
Hilda Mujčić Canada
Yafa Ariav Israel
Katrin Meissl Austria
Raphaël Pineau France
Michaël Cerezo France
Noelle E. Huskey relative to Aparna C. Ranganathan United States Aparna C. Ranganathan's profile →
Citations per field
00.5×1.5×2.2×
Aparna C. Ranganathan · 1×
Citations per year

Countries citing papers authored by Noelle E. Huskey

Since Specialization
Citations

This map shows the geographic impact of Noelle E. Huskey's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Noelle E. Huskey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noelle E. Huskey more than expected).

Fields of papers citing papers by Noelle E. Huskey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noelle E. Huskey. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Noelle E. Huskey. The network helps show where Noelle E. Huskey may publish in the future.

Co-authors

The 25 scholars most cited alongside Noelle E. Huskey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Noelle E. Huskey Line = papers co-authored together Noelle E. Huskey links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
IRE1α Cleaves Select microRNAs During ER Stress to Derepress Translation of Proapoptotic Caspase-2
Hit paper breakdown →
2012537
2 2012267
3 201392
4 201169
5 201265
6 201555
7 201938
8 201632
9 201516
10 20124

About Noelle E. Huskey

Noelle E. Huskey is a scholar working on Molecular Biology, Oncology, Cell Biology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Microtubule and mitosis dynamics (3 papers), Ubiquitin and proteasome pathways (2 papers), Pluripotent Stem Cells Research (2 papers), Advanced Breast Cancer Therapies (2 papers), Alzheimer's disease research and treatments (1 paper), Epigenetics and DNA Methylation (1 paper) and Genetic and rare skin diseases. (1 paper). The work is most often cited by research in Cell Biology (486 citations), Cancer Research (217 citations), Aging (17 citations), Molecular Biology (629 citations) and Epidemiology (274 citations). Noelle E. Huskey has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Andrei Goga, Scott A. Oakes, Lionel Lim, Feroz R. Papa, Michael T. McManus, Likun Wang, Dan Han, Davide Ruggero, John-Paul Upton and Morgan Truitt. Their work appears in journals such as Journal of Neurochemistry, Molecular Cell, Current Biology, Hepatology and Proceedings of the National Academy of Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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