J A Sharp

623 citations
12 papers · 557 indexed · h-index 9

Impact in

  • Genetics top 10%
    • Virus-based gene therapy research
    • Bacterial Genetics and Biotechnology
  • Virology top 10%

Papers in

    • RNA modifications and cancer 5
    • RNA and protein synthesis mechanisms 4
    • RNA Research and Splicing 4
    • Bacterial Genetics and Biotechnology 2
    • Virus-based gene therapy research 2

J A Sharp

12 papers receiving 474 citations

Peers

J A Sharp
Comparison fields: 5 of 48
  • Genetics 249
  • Virology 34
  • Epidemiology 249
  • Molecular Biology 336
  • Immunology 92
Replace Edmund W. Benz with:
Edmund W. Benz United States
Jeffrey Ross United States
J L Sabran United States
Luis Martín-Parras Germany
Ronald J. Wides United States
Zvee Gilead United States
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Klaus Mannweiler Germany
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J A Sharp relative to Edmund W. Benz United States Edmund W. Benz's profile →
Citations per field
00.5×1.5×
Edmund W. Benz · 1×
Citations per year

Countries citing papers authored by J A Sharp

Since Specialization
Citations

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

Fields of papers citing papers by J A Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J A Sharp. 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 J A Sharp. The network helps show where J A Sharp may publish in the future.

Co-authors

The 16 scholars most cited alongside J A Sharp, 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 J A Sharp Line = papers co-authored together J A Sharp links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1981355
2 198344
3 198430
4 198527
5 198325
6 198423
7 197819
8 198312
9 198311
10 19836
11 19864
12 19831

About J A Sharp

J A Sharp is a scholar working on Molecular Biology, Genetics, Epidemiology, Clinical Biochemistry and Immunology, having authored 12 papers that have together received 557 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (4 papers), Herpesvirus Infections and Treatments (3 papers), Metabolism and Genetic Disorders (2 papers), Bacterial Genetics and Biotechnology (2 papers), Toxin Mechanisms and Immunotoxins (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Genetics (249 citations), Virology (34 citations), Epidemiology (249 citations), Molecular Biology (336 citations) and Immunology (92 citations). J A Sharp has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include William C. Summers, M.J. Wagner, Terry Platt, G. Wesley Hatfield, Michael R. Edwards, Jennifer Galloway, G. Sullivan Read, Charlotte A. E. Hauser, Martin Rosenberg and David J. Burke. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Biochemical Journal, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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