John E.G. McCarthy

8.1k citations
122 papers · 6.6k · h-index 48

Impact in

    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Fungal and yeast genetics research
    • PI3K/AKT/mTOR signaling in cancer
    • CRISPR and Genetic Engineering
    • Angiogenesis and VEGF in Cancer
  • Genetics top 2%
    • Bacterial Genetics and Biotechnology

Papers in

    • RNA and protein synthesis mechanisms 72
    • RNA Research and Splicing 38
    • Fungal and yeast genetics research 21
    • RNA modifications and cancer 19
    • CRISPR and Genetic Engineering 10
    • Viral Infectious Diseases and Gene Expression in Insects 9
    • Bacterial Genetics and Biotechnology 27

John E.G. McCarthy

120 papers receiving 6.4k citations

Peers

John E.G. McCarthy
Comparison fields: 5 of 129
  • Molecular Biology 5.5k
  • Genetics 922
  • Endocrinology 114
  • Oncology 458
  • Cell Biology 269
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Citations per field
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Citations per year

Countries citing papers authored by John E.G. McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by John E.G. McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E.G. McCarthy. 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 E.G. McCarthy. The network helps show where John E.G. McCarthy may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997405
2 2003287
3 1990248
4 1987208
5 1998190
6 2004187
7 2010132
8 1995131
9 2003128
10 2003128
11 2002125
12 1998123
13 2000122
14 1994122
15 1999114
16 1996114
17 1985112
18 2002110
19 1993110
20 1994104

About John E.G. McCarthy

John E.G. McCarthy is a scholar working on Molecular Biology, Genetics, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Ecology, having authored 122 papers that have together received 6.6k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (72 papers), RNA Research and Splicing (38 papers), Bacterial Genetics and Biotechnology (27 papers), Fungal and yeast genetics research (21 papers), RNA modifications and cancer (19 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), CRISPR and Genetic Engineering (10 papers) and Viral Infectious Diseases and Gene Expression in Insects (9 papers). The work is most often cited by research in Molecular Biology (5.5k citations), Genetics (922 citations), Endocrinology (114 citations), Oncology (458 citations) and Cell Biology (269 citations). John E.G. McCarthy has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Tobias von der Haar, Carla C. Oliveira, Claudio O. Gualerzi, Mick F. Tuite, Heike Kollmus, Ralf Birkenhäger, John D. Gross, Gerhard Wagner, Stuart J. Ferguson and Cristina Vilela. Their work appears in journals such as Journal of Biological Chemistry, Molecular Microbiology, Nucleic Acids Research, Gene and Biochemical Society Transactions.

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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