Casey E. Hughes

840 citations
7 papers · 611 · 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
    • Hedgehog Signaling Pathway Studies 2
    • Epigenetics and DNA Methylation 2
    • ATP Synthase and ATPases Research 1
    • Genetic and Kidney Cyst Diseases 2

Casey E. Hughes

7 papers receiving 608 citations

Peers

Casey E. Hughes
Comparison fields: 5 of 88
  • Aging 29
  • Molecular Biology 402
  • Developmental Biology 11
  • Genetics 135
  • Clinical Biochemistry 25
Replace Natalia Ermolova with:
Natalia Ermolova United States
Kenji Ohtawa Japan
Alessandra Livigni United Kingdom
Jong Hyun Kim South Korea
Cédric Favre France
Jessica Steinbacher Germany
Joshua D. Bryant United States
Cindy S. Malone United States
Emma Kavanagh United Kingdom
Satoshi Kofuji Japan
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 2020142
2 2013141
3 2012136
4 2016108
5 201467
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 611 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (3 papers), Genetic and Kidney Cyst Diseases (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Epigenetics and DNA Methylation (2 papers), Microfluidic and Bio-sensing Technologies (2 papers), Cancer Genomics and Diagnostics (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and ATP Synthase and ATPases Research (1 paper). The work is most often cited by research in Aging (29 citations), Molecular Biology (402 citations), Developmental Biology (11 citations), Genetics (135 citations) and Clinical Biochemistry (25 citations). Casey E. Hughes has collaborated with scholars based in United States, Czechia and Singapore. Frequent co-authors include Rajat Rohatgi, Karolin V. Dorn, Adam L. Hughes, Jordan A. Berg, Mi‐Young Jeong, Dennis R. Winge, Kiersten A. Henderson, Daniel E. Gottschling, L. Aravind and Ganesh V. Pusapati. Their work appears in journals such as Developmental Cell, eLife, Cell, Lab on a Chip and Advanced Materials Technologies.

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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