Amanda Day

2.6k citations
15 papers · 965 · h-index 11

Impact in

    • DNA Repair Mechanisms
    • Genomics and Chromatin Dynamics
    • CRISPR and Genetic Engineering
    • Cancer therapeutics and mechanisms
    • DNA and Nucleic Acid Chemistry
    • Epigenetics and DNA Methylation
  • Aging top 10%

Papers in

    • DNA Repair Mechanisms 5
    • CRISPR and Genetic Engineering 4
    • Genomics and Chromatin Dynamics 2
    • RNA Research and Splicing 2

Amanda Day

15 papers receiving 956 citations

Peers

Amanda Day
Comparison fields: 5 of 64
  • Molecular Biology 847
  • Aging 21
  • Oncology 240
  • Cancer Research 92
  • Genetics 105
Replace Richard C. Centore with:
Richard C. Centore United States
Anita Cheng United States
Nidhi Nair Denmark
Jordan Pinder Canada
Katarzyna Oktaba Mexico
Andre Stanlie Japan
Thomas Schleker Switzerland
Shannon Lauberth United States
Lan N. Truong United States
Claire Heride United Kingdom
Amanda Day relative to Richard C. Centore United States Richard C. Centore's profile →
Citations per field
00.5×2.5×
Richard C. Centore · 1×
Citations per year

Countries citing papers authored by Amanda Day

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2017269
2 2018143
3 2019132
4 201985
5 201983
6 202080
7 201646
8 201337
9 200626
10 200722
11 201321
12 20229
13 20068
14 20223
15 20241

About Amanda Day

Amanda Day is a scholar working on Molecular Biology, Oncology, Genetics, Surgery and Genetics, having authored 15 papers that have together received 965 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), CRISPR and Genetic Engineering (4 papers), Acute Myeloid Leukemia Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Genomics and Chromatin Dynamics (2 papers), BRCA gene mutations in cancer (2 papers), RNA Research and Splicing (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Molecular Biology (847 citations), Aging (21 citations), Oncology (240 citations), Cancer Research (92 citations) and Genetics (105 citations). Amanda Day has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Elsa Callén, André Nussenzweig, Yaakov Maman, Nancy Wong, Andrés Canela, Yves Pommier, Peter D. Aplan, Peter J. McKinnon, Wei Wu and Hongliang Zhang. Their work appears in journals such as Molecular Cell, Cell, Archives of Physical Medicine and Rehabilitation, PLoS Genetics and Nature Communications.

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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