Michael F. Bailey

823 citations
23 papers · 679 · h-index 16

Impact in

    • Protein Structure and Dynamics
    • Mitochondrial Function and Pathology
    • Metabolism, Diabetes, and Cancer
    • DNA and Nucleic Acid Chemistry
    • Alzheimer's disease research and treatments

Papers in

    • DNA and Nucleic Acid Chemistry 6
    • Protein Structure and Dynamics 5
    • RNA and protein synthesis mechanisms 4
    • DNA Repair Mechanisms 4

Michael F. Bailey

23 papers receiving 670 citations

Peers

Michael F. Bailey
Comparison fields: 5 of 84
  • Molecular Biology 534
  • Physiology 125
  • Cellular and Molecular Neuroscience 87
  • Oncology 83
  • Aging 5
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Michael F. Bailey relative to Michael Forstner Switzerland Michael Forstner's profile →
Citations per field
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Michael Forstner · 1×
Citations per year

Countries citing papers authored by Michael F. Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Michael F. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael F. Bailey. 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 Michael F. Bailey. The network helps show where Michael F. Bailey may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010101
2 200885
3 200880
4 200859
5 201056
6 199634
7 200830
8 200130
9 200125
10 200725
11 200919
12 201219
13 200817
14 200915
15 200315
16 201015
17 200714
18 200813
19 20119
20 20098

About Michael F. Bailey

Michael F. Bailey is a scholar working on Molecular Biology, Oncology, Physiology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 679 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (6 papers), Protein Structure and Dynamics (5 papers), Alzheimer's disease research and treatments (4 papers), Bacterial Genetics and Biotechnology (4 papers), RNA and protein synthesis mechanisms (4 papers), DNA Repair Mechanisms (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Molecular Biology (534 citations), Physiology (125 citations), Cellular and Molecular Neuroscience (87 citations), Oncology (83 citations) and Aging (5 citations). Michael F. Bailey has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include Geoffrey J. Howlett, David P. Millar, Matthew A. Perugini, Jinwei Tang, Elizabeth H. Thompson, Raymond S. Norton, Yasmin M. Ramdzan, Danny M. Hatters, Timothy J. Ryan and Andrew F. Hill. Their work appears in journals such as Journal of Molecular Biology, Biochemistry, Journal of Biological Chemistry, Methods and Growth Factors.

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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