Philip A. Sharp

2.4k citations
17 papers · 1.4k · h-index 15

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Genomics and Chromatin Dynamics
    • RNA Interference and Gene Delivery

Papers in

    • RNA and protein synthesis mechanisms 7
    • RNA modifications and cancer 4
    • RNA Research and Splicing 4
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • Genomics and Chromatin Dynamics 3
    • Insect Resistance and Genetics 2
    • HIV Research and Treatment 2

Philip A. Sharp

17 papers receiving 1.3k citations

Peers

Philip A. Sharp
Comparison fields: 5 of 71
  • Virology 290
  • Molecular Biology 1.0k
  • Immunology 279
  • Cancer Research 148
  • Genetics 224
Replace Jared L. Clever with:
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Philip A. Sharp relative to Jared L. Clever United States Jared L. Clever's profile →
Citations per field
00.5×2×3×4.5×
Jared L. Clever · 1×
Citations per year

Countries citing papers authored by Philip A. Sharp

Since Specialization
Citations

This map shows the geographic impact of Philip 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 Philip 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 Philip A. Sharp more than expected).

Fields of papers citing papers by Philip A. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1988290
2 1991198
3 1990190
4 197993
5 197992
6 199479
7 199179
8 198574
9 198267
10 198250
11 199645
12 199044
13 198929
14
RNA splicing and genes.
198823
15 199316
16 197910
17 19866

About Philip A. Sharp

Philip A. Sharp is a scholar working on Molecular Biology, Virology, Genetics, Immunology and Insect Science, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (4 papers), Virus-based gene therapy research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Genomics and Chromatin Dynamics (3 papers), Insect Resistance and Genetics (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Virology (290 citations), Molecular Biology (1.0k citations), Immunology (279 citations), Cancer Research (148 citations) and Genetics (224 citations). Philip A. Sharp has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Albert S. Baldwin, Mariano A. García-Blanco, Robert A. Marciniak, Uttam L. RajBhandary, Jørgen K. Kjems, David D. Chang, Myles Brown, Frank A. Laski, M L Gefter and James L. Manley. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, The EMBO Journal, Nucleic Acids Research and Cell.

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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