Phillip P. Sharp

6.4k citations
21 papers · 4.7k · 2 hit papers · h-index 17

Impact in

Papers in

    • Carbohydrate Chemistry and Synthesis 2
    • Cyclopropane Reaction Mechanisms 1
    • Protein Degradation and Inhibitors 5
    • RNA and protein synthesis mechanisms 2

Phillip P. Sharp

21 papers receiving 4.6k citations

Phillip P. Sharp's Hit Papers

A SARS-CoV-2 protein interaction map reveals targets for drug repurposing 2020 · 3.4k citations
3.4k0+2+5Years since publication1k2k3k

Peers

Phillip P. Sharp
Comparison fields: 5 of 118
  • Infectious Diseases 2.1k
  • Computational Theory and Mathematics 450
  • Immunology 497
  • Molecular Biology 1.3k
  • General Dentistry 5
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Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Phillip P. Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Phillip P. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Phillip P. 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 Phillip P. Sharp Line = papers co-authored together Phillip P. Sharp 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
A SARS-CoV-2 protein interaction map reveals targets for drug repurposing
Hit paper breakdown →
20203434
2 2016314
3
Comparative Flavivirus-Host Protein Interaction Mapping Reveals Mechanisms of Dengue and Zika Virus Pathogenesis
Hit paper breakdown →
2018267
4 2015113
5 2013106
6 2015106
7 201346
8 201936
9 201630
10 201729
11 200626
12 201626
13 201424
14 202324
15 202121
16 201919
17 201418
18 201710
19 20228
20 20186

About Phillip P. Sharp

Phillip P. Sharp is a scholar working on Organic Chemistry, Molecular Biology, Cancer Research, Infectious Diseases and Immunology, having authored 21 papers that have together received 4.7k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (5 papers), RNA and protein synthesis mechanisms (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Cyclopropane Reaction Mechanisms (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), NF-κB Signaling Pathways (1 paper) and Cellular transport and secretion (1 paper). The work is most often cited by research in Infectious Diseases (2.1k citations), Computational Theory and Mathematics (450 citations), Immunology (497 citations), Molecular Biology (1.3k citations) and General Dentistry (5 citations). Phillip P. Sharp has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Christopher J. Burns, Jean‐Marc Garnier, Martin G. Banwell, Carl R. Walkley, Scott Taylor, Anthony C. Willis, Andrew C.W. Zannettino, David C.S. Huang, Nicole C. Walsh and Mannu Walia. Their work appears in journals such as The Journal of Organic Chemistry, Nature Chemical Biology, MedChemComm, Nature Communications and Nature Immunology.

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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