Noelle E. Huskey
Impact in
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Pluripotent Stem Cells Research 2
- Ubiquitin and proteasome pathways 2
- Oncology 5
- Cancer-related Molecular Pathways 5
- Cancer Treatment and Pharmacology 1
- Co-authors
- Andrei Goga (8 shared papers)Scott A. Oakes (3 shared papers)Lionel Lim (2 shared papers)Feroz R. Papa (1 shared paper)Dan Han (1 shared paper)Davide Ruggero (1 shared paper)Likun Wang (1 shared paper)John-Paul Upton (1 shared paper)
- Journals
- The Journal of Cell Biology (1 paper)Current Biology (1 paper)Science (1 paper)Journal of Investigative Dermatology (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Noelle E. Huskey
10 papers receiving 1.2k citations
Noelle E. Huskey's Hit Papers
Peers
Comparison fields: 5 of 74
- Cell Biology 494
- Cancer Research 240
- Molecular Biology 686
- Aging 17
- Oncology 255
Countries citing papers authored by Noelle E. Huskey
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | IRE1α Cleaves Select microRNAs During ER Stress to Derepress Translation of Proapoptotic Caspase-2 Hit paper breakdown → | 2012 | 532 |
| 2 | 2012 | 265 | |
| 3 | 2013 | 92 | |
| 4 | 2011 | 69 | |
| 5 | 2012 | 64 | |
| 6 | 2015 | 54 | |
| 7 | 2019 | 37 | |
| 8 | 2016 | 30 | |
| 9 | 2015 | 16 | |
| 10 | 2012 | 4 |
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), Advanced Breast Cancer Therapies (2 papers), Pluripotent Stem Cells Research (2 papers), Ubiquitin and proteasome pathways (2 papers), MicroRNA in disease regulation (1 paper), Cancer Treatment and Pharmacology (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Cell Biology (494 citations), Cancer Research (240 citations), Molecular Biology (686 citations), Aging (17 citations) and Oncology (255 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, Dan Han, Davide Ruggero, Likun Wang, John-Paul Upton, Michael T. McManus and Morgan Truitt. Their work appears in journals such as The Journal of Cell Biology, Current Biology, Science, Journal of Investigative Dermatology and The Journal of Experimental Medicine.
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.