John E. Shannon

1.1k citations
22 papers · 826 · h-index 12

Impact in

  • Genetics top 10%
    • Virus-based gene therapy research
    • Animal Genetics and Reproduction
    • Viral Infectious Diseases and Gene Expression in Insects
    • Molecular Biology Techniques and Applications
    • RNA Interference and Gene Delivery
    • Pluripotent Stem Cells Research

Papers in

    • Molecular Biology Techniques and Applications 5
    • CRISPR and Genetic Engineering 3
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • Pluripotent Stem Cells Research 2
    • Animal Genetics and Reproduction 3

John E. Shannon

22 papers receiving 716 citations

Peers

John E. Shannon
Comparison fields: 5 of 101
  • Genetics 192
  • Molecular Biology 438
  • Biotechnology 45
  • Microbiology 27
  • Cancer Research 60
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Citations per field
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Citations per year

Countries citing papers authored by John E. Shannon

Since Specialization
Citations

This map shows the geographic impact of John E. Shannon'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. Shannon 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. Shannon more than expected).

Fields of papers citing papers by John E. Shannon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside John E. Shannon, 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. Shannon Line = papers co-authored together John E. Shannon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1951307
2 197677
3 195175
4 197768
5 198063
6 195148
7 196942
8 197026
9 195325
10 195118
11 196213
12 195213
13 197810
14 19539
15 19578
16 19517
17 19526
18 19773
19 19513
20 19582

About John E. Shannon

John E. Shannon is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Surgery and Physiology, having authored 22 papers that have together received 826 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (5 papers), CRISPR and Genetic Engineering (3 papers), 3D Printing in Biomedical Research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Animal Genetics and Reproduction (3 papers), Pluripotent Stem Cells Research (2 papers), Metabolism and Genetic Disorders (1 paper) and Plant Pathogens and Fungal Diseases (1 paper). The work is most often cited by research in Genetics (192 citations), Molecular Biology (438 citations), Biotechnology (45 citations), Microbiology (27 citations) and Cancer Research (60 citations). John E. Shannon has collaborated with scholars based in United States, Malaysia and Ukraine. Frequent co-authors include Wilton R. Earle, Virginia J. Evans, Helen K. Waltz, Katherine K. Sanford, Marvin L. Macy, Stephen J. O’Brien, K. S. Lavappa, Mitchell H. Gail, Edward L. Schilling and Alexis J. Kniazeff. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Cryobiology, Science, Plastic & Reconstructive Surgery and Annals of the New York 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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