Denise Barrow

4.4k citations
52 papers · 3.6k indexed · h-index 29

Impact in

  • Oncology top 1%
    • HER2/EGFR in Cancer Research
    • Cancer Cells and Metastasis
    • Cytokine Signaling Pathways and Interactions

Papers in

    • HER2/EGFR in Cancer Research 27
    • Cytokine Signaling Pathways and Interactions 8
    • Estrogen and related hormone effects 23

Denise Barrow

50 papers receiving 3.6k citations

Peers

Denise Barrow
Comparison fields: 5 of 108
  • Oncology 1.9k
  • Cancer Research 569
  • Genetics 1.0k
  • Molecular Biology 1.9k
  • Toxicology 89
Replace Anne E. Lykkesfeldt with:
Anne E. Lykkesfeldt Denmark
Michael Dukes United Kingdom
Suzanne E. Wardell United States
Blake Lee Neubauer United States
R A McClelland United Kingdom
Brian J. Long United States
Ramesh Narayanan United States
Lev M. Berstein Russia
Jens Hoffmann Germany
Corinne M. Silva United States
Denise Barrow relative to Anne E. Lykkesfeldt Denmark Anne E. Lykkesfeldt's profile →
Citations per field
00.5×1.5×
Anne E. Lykkesfeldt · 1×
Citations per year

Countries citing papers authored by Denise Barrow

Since Specialization
Citations

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

Fields of papers citing papers by Denise Barrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20228
2 20116
3 201120
4 200765
5 200742
6 200639
7 2005201
8 200547
9 200531
10 20042
11 200493
12 2003432
13 2003138
14 200217
15 200114
16 200143
17 2001131
18 20002
19 199717
20 199715

About Denise Barrow

Denise Barrow is a scholar working on Oncology, Genetics, Immunology and Allergy, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 52 papers that have together received 3.6k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (27 papers), Estrogen and related hormone effects (23 papers), PI3K/AKT/mTOR signaling in cancer (10 papers), Growth Hormone and Insulin-like Growth Factors (8 papers), Cytokine Signaling Pathways and Interactions (8 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Metabolism, Diabetes, and Cancer (4 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Oncology (1.9k citations), Cancer Research (569 citations), Genetics (1.0k citations), Molecular Biology (1.9k citations) and Toxicology (89 citations). Denise Barrow has collaborated with scholars based in United Kingdom, Italy and Austria. Frequent co-authors include Robert I. Nicholson, Julia M.W. Gee, Iain R. Hutcheson, Janice M. Knowlden, Stephen Hiscox, Helen E. Jones, Alan E. Wakeling, M. E. Harper, Tracie‐Ann Madden and L. Morgan. Their work appears in journals such as Breast Cancer Research and Treatment, Breast Cancer Research, Endocrine Related Cancer, Endocrinology and The Prostate.

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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