Peter M. Burch

920 citations
16 papers · 751 · h-index 14

Impact in

    • Muscle Physiology and Disorders
    • Protein Tyrosine Phosphatases
    • Redox biology and oxidative stress
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Galectins and Cancer Biology

Papers in

    • Muscle Physiology and Disorders 7
    • Redox biology and oxidative stress 3
    • Nitric Oxide and Endothelin Effects 2
    • Adipose Tissue and Metabolism 2

Peter M. Burch

15 papers receiving 726 citations

Peers

Peter M. Burch
Comparison fields: 5 of 94
  • Molecular Biology 500
  • Immunology 134
  • Cell Biology 98
  • Physiology 122
  • Rehabilitation 22
Replace Francisco Iñesta-Vaquera with:
Francisco Iñesta-Vaquera United Kingdom
Mercedes Griera Spain
Christian Bindesbøll Norway
Dennis Sohn Germany
Xinhai Yang United States
Ana Ortega-Molina Spain
Alejandro J. Urtreger Argentina
Roseanne S. Wexler United States
Chunlin Yang China
Peter M. Burch relative to Francisco Iñesta-Vaquera United Kingdom Francisco Iñesta-Vaquera's profile →
Citations per field
00.5×1.5×1.8×
Francisco Iñesta-Vaquera · 1×
Citations per year

Countries citing papers authored by Peter M. Burch

Since Specialization
Citations

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

Fields of papers citing papers by Peter M. Burch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter M. Burch. 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 Peter M. Burch. The network helps show where Peter M. Burch may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 200696
2 200592
3 201580
4 201779
5 200475
6 200670
7 201751
8 200647
9 201942
10 201541
11 201624
12 200122
13 200316
14 199715
15 20191
16 20250

About Peter M. Burch

Peter M. Burch is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Immunology and Cell Biology, having authored 16 papers that have together received 751 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (7 papers), Redox biology and oxidative stress (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Galectins and Cancer Biology (2 papers), Biotin and Related Studies (2 papers), Cancer-related Molecular Pathways (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Molecular Biology (500 citations), Immunology (134 citations), Cell Biology (98 citations), Physiology (122 citations) and Rehabilitation (22 citations). Peter M. Burch has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Nicholas H. Heintz, Ziqiang Yuan, Carl Morris, A. H. Loonen, Anton M. Bennett, Vikas Anathy, Priya Ranjan, J. David Lambeth, Richard A. Goldstein and Oksana Pogoryelova. Their work appears in journals such as Antioxidants and Redox Signaling, Toxicological Sciences, Angewandte Chemie International Edition, The Journal of Cell Biology and Bioorganic & Medicinal Chemistry.

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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