Peter McGlynn

4.6k citations
63 papers · 3.8k indexed · h-index 34

Impact in

  • Genetics top 1%
    • Bacterial Genetics and Biotechnology
    • DNA Repair Mechanisms
    • DNA and Nucleic Acid Chemistry
    • Photosynthetic Processes and Mechanisms
    • CRISPR and Genetic Engineering
    • Genomics and Chromatin Dynamics

Papers in

    • Bacterial Genetics and Biotechnology 32
    • DNA Repair Mechanisms 41
    • Photosynthetic Processes and Mechanisms 15
    • DNA and Nucleic Acid Chemistry 15
    • Genomics and Chromatin Dynamics 9
    • CRISPR and Genetic Engineering 8
    • Advanced biosensing and bioanalysis techniques 5

Peter McGlynn

63 papers receiving 3.7k citations

Peers

Peter McGlynn
Comparison fields: 5 of 92
  • Genetics 1.5k
  • Molecular Biology 3.6k
  • Molecular Medicine 111
  • Cancer Research 312
  • Structural Biology 25
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Peter McGlynn relative to Jan P. Erzberger United States Jan P. Erzberger's profile →
Citations per field
00.5×2.9×
Jan P. Erzberger · 1×
Citations per year

Countries citing papers authored by Peter McGlynn

Since Specialization
Citations

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

Fields of papers citing papers by Peter McGlynn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201935
2 201613
3 20163
4 201338
5 201215
6 201047
7 20098
8 200747
9 200623
10 200645
11 200412
12 2002115
13 2001161
14 200156
15 2000251
16 199859
17 199531
18 199465
19 199242
20 199145

About Peter McGlynn

Peter McGlynn is a scholar working on Genetics, Molecular Biology, Molecular Medicine, Renewable Energy, Sustainability and the Environment and Cancer Research, having authored 63 papers that have together received 3.8k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (41 papers), Bacterial Genetics and Biotechnology (32 papers), Photosynthetic Processes and Mechanisms (15 papers), DNA and Nucleic Acid Chemistry (15 papers), Genomics and Chromatin Dynamics (9 papers), CRISPR and Genetic Engineering (8 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Algal biology and biofuel production (5 papers). The work is most often cited by research in Genetics (1.5k citations), Molecular Biology (3.6k citations), Molecular Medicine (111 citations), Cancer Research (312 citations) and Structural Biology (25 citations). Peter McGlynn has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Robert G. Lloyd, John D. Atkinson, C. Neil Hunter, Kenneth J. Marians, Michael R. Jones, Mark S. Dillingham, Colin P. Guy, Eva Petermann, Natalia Issaeva and Niklas Schultz. Their work appears in journals such as Nucleic Acids Research, Journal of Molecular Biology, Journal of Biological Chemistry, Biochemistry and Proceedings of the National Academy of Sciences.

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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