Connor E. Dunn

476 citations
5 papers · 220 · h-index 5

Impact in

    • PARP inhibition in cancer therapy
    • Cancer-related Molecular Pathways
    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • Cancer therapeutics and mechanisms
    • Ubiquitin and proteasome pathways

Papers in

    • DNA Repair Mechanisms 3
    • CRISPR and Genetic Engineering 1
    • Wnt/β-catenin signaling in development and cancer 1
    • Genetics and Neurodevelopmental Disorders 1
    • BRCA gene mutations in cancer 1

Connor E. Dunn

5 papers receiving 220 citations

Peers

Connor E. Dunn
Comparison fields: 5 of 42
  • Oncology 138
  • Molecular Biology 182
  • Reproductive Medicine 17
  • Cell Biology 27
  • Cancer Research 19
Replace Larissa A. Sambel with:
Larissa A. Sambel United States
Michalis Petropoulos Greece
Christian Osterburg Germany
Daryl A. Ronato Canada
Manuel Daza-Martín United Kingdom
Nicholas J. Panzarino United States
Mihaela Robu Canada
Sergi Guerrero Llobet Netherlands
Yannick P. Kok Netherlands
Polly Gravells United Kingdom
Connor E. Dunn relative to Larissa A. Sambel United States Larissa A. Sambel's profile →
Citations per field
00.5×1.5×
Larissa A. Sambel · 1×
Citations per year

Countries citing papers authored by Connor E. Dunn

Since Specialization
Citations

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

Fields of papers citing papers by Connor E. Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 2019103
2 202052
3 202036
4 202120
5 20249

About Connor E. Dunn

Connor E. Dunn is a scholar working on Molecular Biology, Genetics, Oncology, Cell Biology and Immunology, having authored 5 papers that have together received 220 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (3 papers), interferon and immune responses (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), PARP inhibition in cancer therapy (1 paper), BRCA gene mutations in cancer (1 paper), Ovarian cancer diagnosis and treatment (1 paper), CRISPR and Genetic Engineering (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Oncology (138 citations), Molecular Biology (182 citations), Reproductive Medicine (17 citations), Cell Biology (27 citations) and Cancer Research (19 citations). Connor E. Dunn has collaborated with scholars based in United States and China. Frequent co-authors include Kalindi Parmar, Geoffrey I. Shapiro, Alan D. D’Andrea, Bose Kochupurakkal, Huy Nguyen, David Kozono, Joyce F. Liu, Emann Rabie, Panagiotis A. Konstantinopoulos and Ursula A. Matulonis. Their work appears in journals such as Molecular Therapy, Clinical Cancer Research, Molecular Biology of the Cell, Molecular Cell and Cell Reports.

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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