D. Voduc

1.3k citations
4 papers · 554 · 1 hit paper · h-index 3

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • Cancer Cells and Metastasis

Papers in

    • Breast Cancer Treatment Studies 4
    • Cancer Diagnosis and Treatment 1
    • Cancer Treatment and Pharmacology 1
    • HER2/EGFR in Cancer Research 1

D. Voduc

4 papers receiving 544 citations

D. Voduc's Hit Papers

A Comparison of PAM50 Intrinsic Subtyping with Immunohistochemistry and Clinical Prognostic Factors in Tamoxifen-Treated Estrogen Receptor–Positive Breast Cancer 2010 · 547 citations
5470+5+10Years since publication100200300400500

Peers

D. Voduc
Comparison fields: 5 of 41
  • Cancer Research 371
  • Oncology 205
  • Pathology and Forensic Medicine 46
  • Molecular Biology 148
  • Genetics 58
Replace Jerry P. Reed with:
Jerry P. Reed United States
Ivana Božović‐Spasojević Serbia
Elizabeth Mallon United Kingdom
Jennie Jeong United States
Shuzhen Liu China
Adele Francis United Kingdom
Kally Sidhu United Kingdom
Denise Treue Germany
Jorma J. de Ronde Netherlands
C. Alexander United States
D. Voduc relative to Jerry P. Reed United States Jerry P. Reed's profile →
Citations per field
00.5×1.5×
Jerry P. Reed · 1×
Citations per year

Countries citing papers authored by D. Voduc

Since Specialization
Citations

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

Fields of papers citing papers by D. Voduc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

4 of 4 papers shown
#Work
1
A Comparison of PAM50 Intrinsic Subtyping with Immunohistochemistry and Clinical Prognostic Factors in Tamoxifen-Treated Estrogen Receptor–Positive Breast Cancer
Hit paper breakdown →
2010547
2 20083
3 20113
4 20111

About D. Voduc

D. Voduc is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 4 papers that have together received 554 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (4 papers), Cancer Diagnosis and Treatment (1 paper), Cancer Treatment and Pharmacology (1 paper), HER2/EGFR in Cancer Research (1 paper), Breast Lesions and Carcinomas (1 paper) and Advanced Breast Cancer Therapies (1 paper). The work is most often cited by research in Cancer Research (371 citations), Oncology (205 citations), Pathology and Forensic Medicine (46 citations), Molecular Biology (148 citations) and Genetics (58 citations). D. Voduc has collaborated with scholars based in United States and Canada. Frequent co-authors include Maggie C.U. Cheang, Inge J. Stijleman, Matthew J. Ellis, Joel S. Parker, Sherri R. Davies, Charles M. Perou, Tammi L. Vickery, Philip S. Bernard, Torsten O. Nielsen and Jacqueline Snider. Their work appears in journals such as Journal of Clinical Oncology and Clinical Cancer Research.

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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