Amanda E. Conway

553 citations
7 papers · 377 · h-index 7

Impact in

    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • CRISPR and Genetic Engineering
    • Nuclear Structure and Function
    • Cancer-related molecular mechanisms research

Papers in

    • Pluripotent Stem Cells Research 2
    • Genomics and Chromatin Dynamics 2
    • CRISPR and Genetic Engineering 2
    • Ubiquitin and proteasome pathways 1
    • Acute Myeloid Leukemia Research 2

Amanda E. Conway

7 papers receiving 375 citations

Peers

Amanda E. Conway
Comparison fields: 5 of 53
  • Molecular Biology 289
  • Cancer Research 39
  • Hematology 28
  • Cell Biology 31
  • Aging 3
Replace Yasunao Kamikawa with:
Yasunao Kamikawa Japan
Jon Kerry United Kingdom
Aida Rodríguez López Denmark
Rosine Onclercq-Delic France
Judith Luciani France
Joe Harman United Kingdom
Bobbie Pelham‐Webb United States
Zhenhua Sui China
Stephanie L. Battle United States
Siyou Tan United States
Amanda E. Conway relative to Yasunao Kamikawa Japan Yasunao Kamikawa's profile →
Citations per field
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Yasunao Kamikawa · 1×
Citations per year

Countries citing papers authored by Amanda E. Conway

Since Specialization
Citations

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

Fields of papers citing papers by Amanda E. Conway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2014152
2 201772
3 201252
4 201435
5 201325
6 201823
7 201818

About Amanda E. Conway

Amanda E. Conway is a scholar working on Molecular Biology, Hematology, Genetics, Oncology and Cell Biology, having authored 7 papers that have together received 377 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (2 papers), Pluripotent Stem Cells Research (2 papers), Genomics and Chromatin Dynamics (2 papers), CRISPR and Genetic Engineering (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Ubiquitin and proteasome pathways (1 paper), Alzheimer's disease research and treatments (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Molecular Biology (289 citations), Cancer Research (39 citations), Hematology (28 citations), Cell Biology (31 citations) and Aging (3 citations). Amanda E. Conway has collaborated with scholars based in United States and India. Frequent co-authors include Raja Jothi, Senthilkumar Cinghu, Andrew Oldfield, Pengyi Yang, Johannes Freudenberg, Sailu Yellaboina, Daniel S. Wechsler, Catherine Lavau, Jonathan M. Haldeman and Paula Scotland. Their work appears in journals such as Molecular Cell, Nucleic Acids Research, Stem Cells, Blood and Leukemia.

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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