Shane A. Evans

1.1k citations
7 papers · 317 · h-index 6

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics
    • Single-cell and spatial transcriptomics
    • RNA modifications and cancer

Papers in

    • Genomics and Chromatin Dynamics 3
    • Single-cell and spatial transcriptomics 2
    • RNA modifications and cancer 1
    • Telomeres, Telomerase, and Senescence 3

Shane A. Evans

7 papers receiving 317 citations

Peers

Shane A. Evans
Comparison fields: 5 of 60
  • Aging 25
  • Molecular Biology 237
  • Developmental Neuroscience 12
  • Neurology 23
  • Physiology 72
Replace Stéphanie Ghislin with:
Stéphanie Ghislin France
Cornelia E. Zorca Canada
Celeste B. Greer United States
Yukiko Noda Japan
Sarallah Rezazadeh United States
Britta Jedamzik Germany
Ximena Corso‐Díaz United States
Fernando E. Santiago United States
David A. Bennett United States
Naoko Tokushige Japan
Shane A. Evans relative to Stéphanie Ghislin France Stéphanie Ghislin's profile →
Citations per field
00.5×2.9×
Stéphanie Ghislin · 1×
Citations per year

Countries citing papers authored by Shane A. Evans

Since Specialization
Citations

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

Fields of papers citing papers by Shane A. Evans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shane A. Evans. 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 Shane A. Evans. The network helps show where Shane A. Evans may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2018176
2 202268
3 201932
4 201819
5 202312
6 20249
7 20231

About Shane A. Evans

Shane A. Evans is a scholar working on Molecular Biology, Physiology, Immunology, Oncology and Epidemiology, having authored 7 papers that have together received 317 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Telomeres, Telomerase, and Senescence (3 papers), Single-cell and spatial transcriptomics (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Zebrafish Biomedical Research Applications (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Aging (25 citations), Molecular Biology (237 citations), Developmental Neuroscience (12 citations), Neurology (23 citations) and Physiology (72 citations). Shane A. Evans has collaborated with scholars based in United States. Frequent co-authors include Nicola Neretti, John M. Sedivy, Yee Voan Teo, Takahiro Ito, Ashley E. Webb, Doudou Yu, Michael H. Rosenthal, Fred Huffer, Anuj Srivastava and Nicole Doudican. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Journal of Computational Biology, Nucleic Acids Research, Seminars in Cell and Developmental Biology and Nature Aging.

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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