John M. Boyle

1.2k citations
21 papers · 878 · h-index 13

Impact in

Papers in

    • DNA Repair Mechanisms 4
    • Genomics and Chromatin Dynamics 3
    • RNA Interference and Gene Delivery 2
    • Genomic variations and chromosomal abnormalities 4

John M. Boyle

21 papers receiving 846 citations

Peers

John M. Boyle
Comparison fields: 5 of 97
  • Immunology and Allergy 173
  • Aging 20
  • Physiology 229
  • Molecular Biology 395
  • Sensory Systems 26
Replace Christoph Schubert with:
Christoph Schubert Germany
Diego E. Montoya–Durango United States
Claudio Brigati Italy
Andrea C. Carpenter United States
Rita Gallo Italy
Subrahmanyam Kunala United States
Irma Slavutsky Argentina
Nina S. Heiss Germany
Jérôme Teulière France
Véronique Machelon France
John M. Boyle relative to Christoph Schubert Germany Christoph Schubert's profile →
Citations per field
00.5×10.3×
Christoph Schubert · 1×
Citations per year

Countries citing papers authored by John M. Boyle

Since Specialization
Citations

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

Fields of papers citing papers by John M. Boyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012202
2 2015200
3 1969116
4 201860
5 199460
6 199437
7 200737
8 200229
9 196927
10 199726
11 202014
12 199514
13 199314
14 19948
15 20178
16 20096
17 20225
18 20105
19 20075
20 20093

About John M. Boyle

John M. Boyle is a scholar working on Molecular Biology, Genetics, Physiology, Sociology and Political Science and Public Health, Environmental and Occupational Health, having authored 21 papers that have together received 878 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Survey Methodology and Nonresponse (3 papers), Telomeres, Telomerase, and Senescence (3 papers), Genomics and Chromatin Dynamics (3 papers), Allergic Rhinitis and Sensitization (2 papers), RNA Interference and Gene Delivery (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Immunology and Allergy (173 citations), Aging (20 citations), Physiology (229 citations), Molecular Biology (395 citations) and Sensory Systems (26 citations). John M. Boyle has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include N. Symonds, M. Jennifer Derebery, Michael S. Blaiss, Jacob M. Vogan, Dirk Hockemeyer, Eli O. Meltzer, Kunitoshi Chiba, Tina Wagner, Mark A. Wingertzahn and Harold S. Nelson. Their work appears in journals such as Genomics, Genes Chromosomes and Cancer, Allergy and Asthma Proceedings, Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis and Oncogene.

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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