Phyllis Adatto

429 citations
5 papers · 283 · h-index 5

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • BRCA gene mutations in cancer
    • MicroRNA in disease regulation

Papers in

    • DNA Repair Mechanisms 1
    • Epigenetics and DNA Methylation 1
    • MicroRNA in disease regulation 1
    • Cancer Genomics and Diagnostics 1
    • Carcinogens and Genotoxicity Assessment 1

Phyllis Adatto

5 papers receiving 265 citations

Peers

Phyllis Adatto
Comparison fields: 5 of 37
  • Genetics 93
  • Cancer Research 62
  • Molecular Biology 125
  • Oncology 45
  • Genetics 40
Replace Ane Yde Schmidt with:
Ane Yde Schmidt Denmark
F. G. C. Jones United Kingdom
Andrea Zangrando Italy
E. L. Woodward Sweden
Nicole Posorski Germany
Sandra Di Gregorio Italy
Kevin Watanabe‐Smith United States
Haig Inguilizian United States
Grazia Sortino Italy
Marie Stenmark‐Askmalm Sweden
Phyllis Adatto relative to Ane Yde Schmidt Denmark Ane Yde Schmidt's profile →
Citations per field
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Ane Yde Schmidt · 1×
Citations per year

Countries citing papers authored by Phyllis Adatto

Since Specialization
Citations

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

Fields of papers citing papers by Phyllis Adatto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phyllis Adatto. 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 Phyllis Adatto. The network helps show where Phyllis Adatto may publish in the future.

Co-authors

The 22 scholars most cited alongside Phyllis Adatto, 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 Phyllis Adatto Line = papers co-authored together Phyllis Adatto links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About Phyllis Adatto

Phyllis Adatto is a scholar working on Molecular Biology, Cancer Research, Genetics, Oncology and Computational Theory and Mathematics, having authored 5 papers that have together received 283 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (2 papers), Cancer-related Molecular Pathways (1 paper), DNA Repair Mechanisms (1 paper), Epigenetics and DNA Methylation (1 paper), MicroRNA in disease regulation (1 paper), Cancer Genomics and Diagnostics (1 paper), Computational Drug Discovery Methods (1 paper) and Carcinogens and Genotoxicity Assessment (1 paper). The work is most often cited by research in Genetics (93 citations), Cancer Research (62 citations), Molecular Biology (125 citations), Oncology (45 citations) and Genetics (40 citations). Phyllis Adatto has collaborated with scholars based in United States. Frequent co-authors include Melissa L. Bondy, Mariza de Andrade, Victor A. Levin, Qingyi Wei, Gladstone Airewele, Christopher I. Amos, Jill S. Barnholtz‐Sloan, W.K. Alfred Yung, Alice J. Sigurdson and Randa El‐Zein. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Clinical Cancer Research, Genetic Epidemiology and PubMed.

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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