Casey E. Hughes

860 citations
7 papers · 634 · h-index 6

Impact in

  • Aging top 10%
    • Hedgehog Signaling Pathway Studies
    • Mitochondrial Function and Pathology
    • Epigenetics and DNA Methylation

Papers in

    • Mitochondrial Function and Pathology 3
    • Ubiquitin and proteasome pathways 1
    • Epigenetics and DNA Methylation 1
    • Fungal and yeast genetics research 1
    • Genetic and Kidney Cyst Diseases 2

Casey E. Hughes

7 papers receiving 629 citations

Peers

Casey E. Hughes
Comparison fields: 5 of 81
  • Aging 32
  • Molecular Biology 403
  • Genetics 136
  • Developmental Biology 11
  • Clinical Biochemistry 26
Replace Natalia Ermolova with:
Natalia Ermolova United States
Patricia R. Hunsicker United States
Joshua D. Bryant United States
Jong Hyun Kim South Korea
Alessandra Livigni United Kingdom
Yanfeng Li China
Jessica Steinbacher Germany
Cédric Favre France
Lucía Echevarría France
Cindy S. Malone United States
Casey E. Hughes relative to Natalia Ermolova United States Natalia Ermolova's profile →
Citations per field
00.5×1.5×2.5×
Natalia Ermolova · 1×
Citations per year

Countries citing papers authored by Casey E. Hughes

Since Specialization
Citations

This map shows the geographic impact of Casey E. Hughes'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 Casey E. Hughes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Casey E. Hughes more than expected).

Fields of papers citing papers by Casey E. Hughes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Casey E. Hughes. 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 Casey E. Hughes. The network helps show where Casey E. Hughes may publish in the future.

Co-authors

The 25 scholars most cited alongside Casey E. Hughes, 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 Casey E. Hughes Line = papers co-authored together Casey E. Hughes links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2020150
2 2013148
3 2012138
4 2016113
5 201468
6 202416
7 20201

About Casey E. Hughes

Casey E. Hughes is a scholar working on Molecular Biology, Genetics, Cancer Research, Biomedical Engineering and Oncology, having authored 7 papers that have together received 634 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (3 papers), Genetic and Kidney Cyst Diseases (2 papers), Microfluidic and Bio-sensing Technologies (2 papers), Ubiquitin and proteasome pathways (1 paper), Cancer Genomics and Diagnostics (1 paper), Epigenetics and DNA Methylation (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Aging (32 citations), Molecular Biology (403 citations), Genetics (136 citations), Developmental Biology (11 citations) and Clinical Biochemistry (26 citations). Casey E. Hughes has collaborated with scholars based in United States, Singapore and South Korea. Frequent co-authors include Rajat Rohatgi, Karolin V. Dorn, Adam L. Hughes, Mi‐Young Jeong, Dennis R. Winge, Jordan A. Berg, Daniel E. Gottschling, Kiersten A. Henderson, Dapeng Zhang and L. Aravind. Their work appears in journals such as eLife, Developmental Cell, Cell, Advanced Materials Technologies and Lab on a Chip.

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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