Debra E. Rugowski

559 citations
15 papers · 435 · h-index 11

Impact in

  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cytokine Signaling Pathways and Interactions
    • Cancer-related Molecular Pathways
    • Cancer Risks and Factors
    • HER2/EGFR in Cancer Research
    • Cell Adhesion Molecules Research

Papers in

    • Cancer-related Molecular Pathways 4
    • Cancer Cells and Metastasis 4
    • Cytokine Signaling Pathways and Interactions 3
    • HER2/EGFR in Cancer Research 3
    • Estrogen and related hormone effects 7

Debra E. Rugowski

15 papers receiving 432 citations

Peers

Debra E. Rugowski
Comparison fields: 5 of 61
  • Oncology 284
  • Immunology and Allergy 38
  • Cancer Research 86
  • Genetics 141
  • Endocrinology, Diabetes and Metabolism 79
Replace Nicholas J. Kenney with:
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Debra E. Rugowski relative to Nicholas J. Kenney United States Nicholas J. Kenney's profile →
Citations per field
00.5×10×13.5×
Nicholas J. Kenney · 1×
Citations per year

Countries citing papers authored by Debra E. Rugowski

Since Specialization
Citations

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

Fields of papers citing papers by Debra E. Rugowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2017102
2 200555
3 201147
4 200743
5 200440
6 201934
7 200923
8 201323
9 201920
10 201316
11 201810
12 20218
13 20128
14 20225
15 20231

About Debra E. Rugowski

Debra E. Rugowski is a scholar working on Oncology, Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 15 papers that have together received 435 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (7 papers), Cancer-related Molecular Pathways (4 papers), Cancer Cells and Metastasis (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), HER2/EGFR in Cancer Research (3 papers), TGF-β signaling in diseases (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Oncology (284 citations), Immunology and Allergy (38 citations), Cancer Research (86 citations), Genetics (141 citations) and Endocrinology, Diabetes and Metabolism (79 citations). Debra E. Rugowski has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Linda A. Schuler, Jennifer H. Gutzman, Kathleen A. O’Leary, Jyoti J. Watters, Lisa M. Arendt, Hallgeir Rui, María J. García‐Barchino, Jennifer L. Brockman, Patricia J. Keely and Yuming Liu. Their work appears in journals such as Oncogene, Breast Cancer Research, Molecular Endocrinology, Journal of Clinical Oncology and Endocrinology.

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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