Sedona E. Murphy

1.0k citations
9 papers · 590 · h-index 8

Impact in

    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
    • Single-cell and spatial transcriptomics
    • RNA and protein synthesis mechanisms
    • CRISPR and Genetic Engineering
    • RNA modifications and cancer

Papers in

    • Genomics and Chromatin Dynamics 7
    • Epigenetics and DNA Methylation 4
    • RNA Research and Splicing 3
    • Single-cell and spatial transcriptomics 2
    • Cancer-related gene regulation 1
    • Cell Image Analysis Techniques 2

Sedona E. Murphy

9 papers receiving 587 citations

Peers

Sedona E. Murphy
Comparison fields: 5 of 54
  • Molecular Biology 560
  • Structural Biology 11
  • Biophysics 40
  • Plant Science 157
  • Aging 5
Replace Roel Oldenkamp with:
Roel Oldenkamp United Kingdom
Feyza Yilmaz United States
Yiming Chang United States
Marlies E. Oomen United States
Mariya Kryzhanovska Switzerland
Amy Strange United Kingdom
Julian Gurgo France
Huy Q. Nguyen United States
Susan Gilchrist United Kingdom
Iryna Charapitsa Germany
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Citations per field
00.5×1.5×1.8×
Roel Oldenkamp · 1×
Citations per year

Countries citing papers authored by Sedona E. Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Sedona E. Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2019299
2 202092
3 202362
4 202258
5 201837
6 202119
7 202413
8 20208
9 20252

About Sedona E. Murphy

Sedona E. Murphy is a scholar working on Molecular Biology, Biophysics, Cancer Research, Plant Science and Infectious Diseases, having authored 9 papers that have together received 590 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), Epigenetics and DNA Methylation (4 papers), RNA Research and Splicing (3 papers), Cancer Genomics and Diagnostics (2 papers), Cell Image Analysis Techniques (2 papers), Single-cell and spatial transcriptomics (2 papers), Cancer-related gene regulation (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Molecular Biology (560 citations), Structural Biology (11 citations), Biophysics (40 citations), Plant Science (157 citations) and Aging (5 citations). Sedona E. Murphy has collaborated with scholars based in United States and Germany. Frequent co-authors include Alistair N. Boettiger, Antonina Hafner, Leslie J. Mateo, Elphège P. Nora, Minhee Park, Thomas R. Cech, Stefan Mundlos, Katerina Kraft, Jeffrey M. Granja and Howard Y. Chang. Their work appears in journals such as Nature Cell Biology, Nature Genetics, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms, Nature Communications and Molecular Cell.

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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