Phillip A. Sharp
Impact in
- Molecular Biology top 0.01%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
- RNA and protein synthesis mechanisms
- Cancer Research top 0.02%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Genomics and Chromatin Dynamics 129
- RNA Research and Splicing 114
- RNA Interference and Gene Delivery 30
- RNA and protein synthesis mechanisms 26
- CRISPR and Genetic Engineering 15
-
- MicroRNA in disease regulation 38
- Co-authors
- Arnold J. Berk (7 shared papers)Margaret S. Ebert (6 shared papers)Richard A. Padgett (13 shared papers)Maria M. Konarska (13 shared papers)Christopher B. Burge (13 shared papers)Richard A. Young (14 shared papers)Joel R. Neilson (9 shared papers)Michael T. McManus (7 shared papers)
- Journals
- Cell (64 papers)Proceedings of the National Academy of Sciences (62 papers)Science (32 papers)Molecular and Cellular Biology (30 papers)Nature (23 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Phillip A. Sharp
416 papers receiving 88.9k citations
Phillip A. Sharp's Hit Papers
Peers
Comparison fields: 5 of 195
- Molecular Biology 60.4k
- Cancer Research 12.5k
- Virology 2.4k
- Genetics 9.8k
- Oncology 5.5k
Countries citing papers authored by Phillip A. Sharp
This map shows the geographic impact of Phillip 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 Phillip 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 Phillip A. Sharp more than expected).
Fields of papers citing papers by Phillip A. Sharp
This network shows the impact of papers produced by Phillip 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 Phillip A. Sharp. The network helps show where Phillip A. Sharp may publish in the future.
Co-authors
The 25 scholars most cited alongside Phillip A. Sharp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 424 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Histone H3K27ac separates active from poised enhancers and predicts developmental state Hit paper breakdown → | 2010 | 3140 |
| 2 | Sizing and mapping of early adenovirus mRNAs by gel electrophoresis of S1 endonuclease-digested hybrids Hit paper breakdown → | 1977 | 2780 |
| 3 | In vivo genome editing using Staphylococcus aureus Cas9 Hit paper breakdown → | 2015 | 2229 |
| 4 | RNAi Hit paper breakdown → | 2000 | 2127 |
| 5 | Coactivator condensation at super-enhancers links phase separation and gene control Hit paper breakdown → | 2018 | 1895 |
| 6 | MicroRNA sponges: competitive inhibitors of small RNAs in mammalian cells Hit paper breakdown → | 2007 | 1777 |
| 7 | CRISPR-Cas9 Knockin Mice for Genome Editing and Cancer Modeling Hit paper breakdown → | 2014 | 1584 |
| 8 | Detection of two restriction endonuclease activities in Haemophilus parainfluenzae using analytical agarose-ethidium bromide electrophoresis Hit paper breakdown → | 1973 | 1399 |
| 9 | Targeted Deletion Reveals Essential and Overlapping Functions of the miR-17∼92 Family of miRNA Clusters Hit paper breakdown → | 2008 | 1353 |
| 10 | Roles for MicroRNAs in Conferring Robustness to Biological Processes Hit paper breakdown → | 2012 | 1316 |
| 11 | A Phase Separation Model for Transcriptional Control Hit paper breakdown → | 2017 | 1314 |
| 12 | Lentivirus-delivered stable gene silencing by RNAi in primary cells Hit paper breakdown → | 2003 | 1264 |
| 13 | Connecting microRNA Genes to the Core Transcriptional Regulatory Circuitry of Embryonic Stem Cells Hit paper breakdown → | 2008 | 1160 |
| 14 | Gene silencing in mammals by small interfering RNAs Hit paper breakdown → | 2002 | 1151 |
| 15 | SPLICING OF MESSENGER RNA PRECURSORS Hit paper breakdown → | 1986 | 1145 |
| 16 | DNA-dependent transcription of adenovirus genes in a soluble whole-cell extract. Hit paper breakdown → | 1980 | 1126 |
| 17 | Proliferating Cells Express mRNAs with Shortened 3' Untranslated Regions and Fewer MicroRNA Target Sites Hit paper breakdown → | 2008 | 1072 |
| 18 | Spliced segments at the 5′ terminus of adenovirus 2 late mRNA Hit paper breakdown → | 1977 | 1010 |
| 19 | c-Myc Regulates Transcriptional Pause Release Hit paper breakdown → | 2010 | 1008 |
| 20 | A nuclear factor that binds to a conserved sequence motif in transcriptional control elements of immunoglobulin genes Hit paper breakdown → | 1986 | 1002 |
About Phillip A. Sharp
Phillip A. Sharp is a scholar working on Molecular Biology, Cancer Research, Genetics, Oncology and Virology, having authored 424 papers that have together received 94.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (129 papers), RNA Research and Splicing (114 papers), Virus-based gene therapy research (42 papers), MicroRNA in disease regulation (38 papers), RNA Interference and Gene Delivery (30 papers), RNA and protein synthesis mechanisms (26 papers), Polyomavirus and related diseases (18 papers) and CRISPR and Genetic Engineering (15 papers). The work is most often cited by research in Molecular Biology (60.4k citations), Cancer Research (12.5k citations), Virology (2.4k citations), Genetics (9.8k citations) and Oncology (5.5k citations). Phillip A. Sharp has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Arnold J. Berk, Margaret S. Ebert, Richard A. Padgett, Maria M. Konarska, Christopher B. Burge, Richard A. Young, Joel R. Neilson, Michael T. McManus, Joe Sambrook and Albert S. Baldwin. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences, Science, Molecular and Cellular Biology and Nature.
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.