Adrian Pasculescu
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Ubiquitin and proteasome pathways
- Protein Kinase Regulation and GTPase Signaling
- RNA and protein synthesis mechanisms
- Glycosylation and Glycoproteins Research
Papers in
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- Bioinformatics and Genomic Networks 6
- PI3K/AKT/mTOR signaling in cancer 3
- Metabolism, Diabetes, and Cancer 2
- Wnt/β-catenin signaling in development and cancer 2
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- Advanced Proteomics Techniques and Applications 5
- Co-authors
- Tony Pawson (14 shared papers)Rune Linding (7 shared papers)Karen Colwill (8 shared papers)Marina Olhovsky (3 shared papers)Claus Jørgensen (3 shared papers)Peer Bork (1 shared paper)Lars Juhl Jensen (1 shared paper)Michael B. Yaffe (1 shared paper)
- Journals
- Science (3 papers)Science Signaling (3 papers)Nucleic Acids Research (2 papers)iScience (1 paper)Nature Communications (1 paper)
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
Adrian Pasculescu
23 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 110
- Spectroscopy 282
- Molecular Biology 951
- Cell Biology 194
- Oncology 164
- Cellular and Molecular Neuroscience 107
Countries citing papers authored by Adrian Pasculescu
This map shows the geographic impact of Adrian Pasculescu'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 Adrian Pasculescu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Pasculescu more than expected).
Fields of papers citing papers by Adrian Pasculescu
This network shows the impact of papers produced by Adrian Pasculescu. 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 Adrian Pasculescu. The network helps show where Adrian Pasculescu may publish in the future.
Co-authors
The 25 scholars most cited alongside Adrian Pasculescu, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 278 | |
| 2 | 2013 | 223 | |
| 3 | 2009 | 190 | |
| 4 | 2009 | 159 | |
| 5 | 2009 | 78 | |
| 6 | 2015 | 58 | |
| 7 | The Adaptor Protein p66Shc Inhibits mTOR-Dependent Anabolic Metabolism | 2013 | 33 |
| 8 | 2020 | 30 | |
| 9 | 2015 | 27 | |
| 10 | 2014 | 25 | |
| 11 | 2010 | 17 | |
| 12 | 2016 | 17 | |
| 13 | 2011 | 16 | |
| 14 | 2015 | 15 | |
| 15 | 2016 | 10 | |
| 16 | 2014 | 9 | |
| 17 | Stratified Programming Integrated Development Environment (SPIDER). | 2003 | 7 |
| 18 | 2024 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2023 | 4 |
About Adrian Pasculescu
Adrian Pasculescu is a scholar working on Molecular Biology, Spectroscopy, Infectious Diseases, Cellular and Molecular Neuroscience and Information Systems, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Advanced Proteomics Techniques and Applications (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Software Engineering Research (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Spectroscopy (282 citations), Molecular Biology (951 citations), Cell Biology (194 citations), Oncology (164 citations) and Cellular and Molecular Neuroscience (107 citations). Adrian Pasculescu has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Tony Pawson, Rune Linding, Karen Colwill, Marina Olhovsky, Claus Jørgensen, Peer Bork, Lars Juhl Jensen, Michael B. Yaffe, Chris Soon Heng Tan and Gary D. Bader. Their work appears in journals such as Science, Science Signaling, Nucleic Acids Research, iScience and Nature Communications.
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.