Zena Wilson

2.4k citations
20 papers · 771 · h-index 11

Impact in

  • Oncology top 10%
    • PARP inhibition in cancer therapy
    • Cancer-related Molecular Pathways
    • Cancer, Hypoxia, and Metabolism

Papers in

    • DNA Repair Mechanisms 8
    • Angiogenesis and VEGF in Cancer 2
    • Cancer therapeutics and mechanisms 2
    • PARP inhibition in cancer therapy 5
    • Cancer Treatment and Pharmacology 3
    • HER2/EGFR in Cancer Research 3

Zena Wilson

20 papers receiving 756 citations

Peers

Zena Wilson
Comparison fields: 5 of 81
  • Oncology 295
  • Cancer Research 116
  • Molecular Biology 413
  • Organic Chemistry 109
  • Immunology 64
Replace Martina S.J. McDermott with:
Martina S.J. McDermott United States
Sai Kiran Sharma United States
Rachel E. Davis United States
Sylvia Zhao China
András Jeney Hungary
Ruth Ruddle United Kingdom
Meg Perumal United Kingdom
Vilde Drageset Haakensen Norway
Jing-Yuan Liu United States
Christopher J. Matheson United States
Zena Wilson relative to Martina S.J. McDermott United States Martina S.J. McDermott's profile →
Citations per field
00.5×1.5×
Martina S.J. McDermott · 1×
Citations per year

Countries citing papers authored by Zena Wilson

Since Specialization
Citations

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

Fields of papers citing papers by Zena Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2018237
2 2020131
3 2020103
4 201172
5 201955
6 202241
7 201830
8 200725
9 202022
10 201913
11 201511
12 20079
13 20235
14 20154
15 20183
16 20223
17 20222
18 20172
19 20142
20 20221

About Zena Wilson

Zena Wilson is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Genetics, having authored 20 papers that have together received 771 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (8 papers), PARP inhibition in cancer therapy (5 papers), Advanced Breast Cancer Therapies (4 papers), Cancer Treatment and Pharmacology (3 papers), HER2/EGFR in Cancer Research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Angiogenesis and VEGF in Cancer (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Oncology (295 citations), Cancer Research (116 citations), Molecular Biology (413 citations), Organic Chemistry (109 citations) and Immunology (64 citations). Zena Wilson has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include Alan Lau, Rajesh Odedra, J. Willem M. Nissink, Thomas M. McGuire, James Yates, Philip J. Jewsbury, Sylvie M. Guichard, Paul Turner, Christine Wood and Kevin Blades. Their work appears in journals such as Cancer Research, Scientific Reports, Journal of Medicinal Chemistry, Oncogene and Cancers.

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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