J. E. Quinn

974 citations
11 papers · 815 · h-index 6

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • PARP inhibition in cancer therapy
    • Cancer-related Molecular Pathways
    • HER2/EGFR in Cancer Research

Papers in

    • CRISPR and Genetic Engineering 3
    • DNA Repair Mechanisms 2
    • Gene expression and cancer classification 2
    • Molecular Biology Techniques and Applications 2
    • Bone Metabolism and Diseases 1
    • BRCA gene mutations in cancer 6
    • Animal Genetics and Reproduction 1

J. E. Quinn

10 papers receiving 793 citations

Peers

J. E. Quinn
Comparison fields: 5 of 58
  • Cancer Research 219
  • Oncology 338
  • Genetics 273
  • Molecular Biology 439
  • Reproductive Medicine 44
Replace Rafał Wiśniowski with:
Rafał Wiśniowski Poland
Katrin Kemp Gudmundsdottir Sweden
Monika Siołek Poland
Lillian Ramos United States
J.M. Trent United States
Kristen L. Lozada United States
Christopher Coles United Kingdom
Sandra Angèle France
Boriana Zaharieva Bulgaria
J. E. Quinn relative to Rafał Wiśniowski Poland Rafał Wiśniowski's profile →
Citations per field
00.5×1.6×
Rafał Wiśniowski · 1×
Citations per year

Countries citing papers authored by J. E. Quinn

Since Specialization
Citations

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

Fields of papers citing papers by J. E. Quinn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2004347
2 2004188
3 2007167
4 200449
5 201344
6 200113
7 20103
8 20092
9 20101
10 20061
11 20070

About J. E. Quinn

J. E. Quinn is a scholar working on Molecular Biology, Genetics, Oncology, Reproductive Medicine and Surgery, having authored 11 papers that have together received 815 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (6 papers), CRISPR and Genetic Engineering (3 papers), DNA Repair Mechanisms (2 papers), Gene expression and cancer classification (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Molecular Biology Techniques and Applications (2 papers), Animal Genetics and Reproduction (1 paper) and Bone Metabolism and Diseases (1 paper). The work is most often cited by research in Cancer Research (219 citations), Oncology (338 citations), Genetics (273 citations), Molecular Biology (439 citations) and Reproductive Medicine (44 citations). J. E. Quinn has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Patrick G. Johnston, Paul B. Mullan, Richard D. Kennedy, D. Paul Harkin, D. Paul Harkin, R. D. Kennedy, P. G. Johnston, G. E. Stewart, P. Dervan and Allison N. Scott. Their work appears in journals such as Breast Cancer Research, Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute, Biochemical Society Transactions and Clinical & Experimental Metastasis.

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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