Brian P. Cook

2.2k citations
12 papers · 928 · h-index 11

Impact in

  • Nephrology top 5%
    • Parathyroid Disorders and Treatments
  • Oncology top 10%
    • Cancer Cells and Metastasis

Papers in

    • Gene expression and cancer classification 2
    • Molecular Biology Techniques and Applications 2
    • Angiogenesis and VEGF in Cancer 2
    • Congenital heart defects research 1
    • Kruppel-like factors research 1
    • Lymphatic System and Diseases 1
    • Cancer Diagnosis and Treatment 1

Brian P. Cook

12 papers receiving 901 citations

Peers

Brian P. Cook
Comparison fields: 5 of 79
  • Nephrology 139
  • Oncology 221
  • Cancer Research 120
  • Molecular Biology 510
  • Immunology and Allergy 34
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Brian P. Cook relative to Hideo Maki Japan Hideo Maki's profile →
Citations per field
00.5×4.6×
Hideo Maki · 1×
Citations per year

Countries citing papers authored by Brian P. Cook

Since Specialization
Citations

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

Fields of papers citing papers by Brian P. Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian P. Cook. 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 Brian P. Cook. The network helps show where Brian P. Cook may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
Combining serial analysis of gene expression and array technologies to identify genes differentially expressed in breast cancer.
1999201
2 2004156
3 2002146
4
Endothelial precursor cells as a model of tumor endothelium: characterization and comparison with mature endothelial cells.
2003103
5 200199
6 200356
7 200438
8
Metastatic carcinoma of umbilicus: "Sister Mary Joseph's nodule".
199736
9 200135
10 200630
11 200623
12 20065

About Brian P. Cook

Brian P. Cook is a scholar working on Molecular Biology, Oncology, Public Health, Environmental and Occupational Health, Genetics and Nephrology, having authored 12 papers that have together received 928 indexed citations. Recurring topics across this work include Gene expression and cancer classification (2 papers), Molecular Biology Techniques and Applications (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Sperm and Testicular Function (1 paper), Lymphatic System and Diseases (1 paper), Congenital heart defects research (1 paper), Cancer Diagnosis and Treatment (1 paper) and Kruppel-like factors research (1 paper). The work is most often cited by research in Nephrology (139 citations), Oncology (221 citations), Cancer Research (120 citations), Molecular Biology (510 citations) and Immunology and Allergy (34 citations). Brian P. Cook has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Mariana Nacht, Joseph M. Petroziello, Saraswati Sukumar, Beverly A. Teicher, Scott Chartrand, Gregory M. Landes, Anne Ferguson, Giovanni Coppola, Sharon Maguire and Y H Gao. Their work appears in journals such as The Prostate, Plant Biotechnology Journal, Genomics, International Journal of Gynecological Cancer and Microvascular 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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