Philip S. Bernard

20.2k citations
91 papers · 11.2k indexed · 5 hit papers · h-index 36
Topics
Breast Cancer Treatment Studies (37 papers)Molecular Biology Techniques and Applications (22 papers)Gene expression and cancer classification (19 papers)
Partner nations
United StatesCanadaSpain

In The Last Decade

Philip S. Bernard

90 papers receiving 11.0k citations

Hit Papers

Supervised Risk Predictor of Breast Cancer Ba...19942026200420152009200920111994201010002.0k3.0k

Peers

Philip S. Bernard
Comparison fields: 5 of 149
  • Cancer Research 5.6k
  • Oncology 5.2k
  • Molecular Biology 5.0k
  • Pulmonary and Respiratory Medicine 1.8k
  • Genetics 1.3k
Replace Joseph Geradts with:
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Philip S. Bernard relative to Joseph Geradts United States Joseph Geradts's profile →
Citations per field
00.5×1.5×
Joseph Geradts · 1×
Citations per year

Countries citing papers authored by Philip S. Bernard

Since Specialization
Citations

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

Fields of papers citing papers by Philip S. Bernard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip S. Bernard. 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 Philip S. Bernard. The network helps show where Philip S. Bernard may publish in the future.

Co-authorship network of co-authors of Philip S. Bernard

This figure shows the co-authorship network connecting the top 25 collaborators of Philip S. Bernard. A scholar is included among the top collaborators of Philip S. Bernard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philip S. Bernard. Philip S. Bernard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 22
3 35
4 7
5 14
6 39
7 42
8 19
9 94
10 16
11 220
12 105
13 192
14 194
15
A Comparison of PAM50 Intrinsic Subtyping with Immunohistochemistry and Clinical Prognostic Factors in Tamoxifen-Treated Estrogen Receptor–Positive Breast Cancerbreakdown →
542
16
Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypesbreakdown →
3093
17
Ki67 Index, HER2 Status, and Prognosis of Patients With Luminal B Breast Cancerbreakdown →
1641
18 22
19 49
20 39

About Philip S. Bernard

Philip S. Bernard is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 91 papers that have together received 11.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (37 papers), Molecular Biology Techniques and Applications (22 papers) and Gene expression and cancer classification (19 papers). The work is most often cited by research in Cancer Research (5.6k citations), Oncology (5.2k citations) and Molecular Biology (5.0k citations). Philip S. Bernard has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Charles M. Perou, Torsten O. Nielsen, Joel S. Parker, Matthew J. Ellis, Maggie C.U. Cheang, Samuel Leung, Sherri R. Davies, David Voduc, Inge J. Stijleman and Tammi L. Vickery. Their work appears in journals such as Cell, Nature Medicine and Nature Genetics.

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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