Patrick Page

460 citations
14 papers · 351 · h-index 12

Impact in

    • Mesenchymal stem cell research
    • Neurogenetic and Muscular Disorders Research
    • Muscle Physiology and Disorders
    • Pluripotent Stem Cells Research
    • S100 Proteins and Annexins
    • Lipid Membrane Structure and Behavior

Papers in

    • Muscle Physiology and Disorders 10
    • S100 Proteins and Annexins 2
    • Pluripotent Stem Cells Research 1
    • Genomics and Chromatin Dynamics 1
    • Mesenchymal stem cell research 1

Patrick Page

14 papers receiving 348 citations

Peers

Patrick Page
Comparison fields: 5 of 49
  • Genetics 37
  • Molecular Biology 216
  • Cardiology and Cardiovascular Medicine 43
  • Aging 2
  • Cell Biology 15
Replace Brian K. Buckley with:
Brian K. Buckley United States
Danny El‐Nachef United States
Maria Antonietta Maioli Italy
Estelle G. Healy United Kingdom
Alexey Koshkin Portugal
Mario Grossi Sweden
James S. Novak United States
Babette C. Hammerling United States
Liudmila Zakharova United States
Serena Pagliarani Italy
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Citations per field
00.5×2×3.4×
Brian K. Buckley · 1×
Citations per year

Countries citing papers authored by Patrick Page

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Page

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201961
2 201640
3 201739
4 202132
5 202227
6 201426
7 202125
8 201924
9 201918
10 202017
11 202216
12 201815
13 20248
14 20243

About Patrick Page

Patrick Page is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Nuclear Energy and Engineering, having authored 14 papers that have together received 351 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (10 papers), S100 Proteins and Annexins (2 papers), Pluripotent Stem Cells Research (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Genetic Neurodegenerative Diseases (1 paper), Genomics and Chromatin Dynamics (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Genetics (37 citations), Molecular Biology (216 citations), Cardiology and Cardiovascular Medicine (43 citations), Aging (2 citations) and Cell Biology (15 citations). Patrick Page has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Elizabeth M. McNally, Alexis R. Demonbreun, Mattia Quattrocelli, David Y. Barefield, Lisa M. Dellefave‐Castillo, Eugene J. Wyatt, Elena Bogdanovic, Isabella M. Salamone, Michele Hadhazy and Robert A. Boomsma. Their work appears in journals such as JCI Insight, Journal of Clinical Investigation, Disease Models & Mechanisms, American Journal Of Pathology and International Journal of Cell Biology.

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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