Alexandra C. Newton
- Molecular Biology top 0.1%
- Protein Kinase Regulation and GTPase Signaling 115
- PI3K/AKT/mTOR signaling in cancer 50
- Receptor Mechanisms and Signaling 35
- Protein Tyrosine Phosphatases 19
- Ubiquitin and proteasome pathways 17
- Cell death mechanisms and regulation 12
- Retinal Development and Disorders 12
- Cell Biology top 0.1%
- Cellular transport and secretion 23
- Biophysics top 0.2%
- Cellular and Molecular Neuroscience top 0.5%
- Cancer Research top 1%
- Co-authors
- Alex TokerRoger Y. TsienJonathan D. ViolinTianyan GaoDavid A. ZachariasJohn BrognardFrank B. FurnariMaya T. Kunkel
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Alexandra C. Newton
195 papers receiving 20.2k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Molecular Biology 16.4k
- Cell Biology 3.6k
- Biophysics 771
- Cellular and Molecular Neuroscience 2.2k
- Cancer Research 1.3k
Countries citing papers authored by Alexandra C. Newton
This map shows the geographic impact of Alexandra C. Newton'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 Alexandra C. Newton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandra C. Newton more than expected).
Fields of papers citing papers by Alexandra C. Newton
This network shows the impact of papers produced by Alexandra C. Newton. 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 Alexandra C. Newton. The network helps show where Alexandra C. Newton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alexandra C. Newton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 7 | |
| 2 | 2021 | 72 | |
| 3 | 2020 | 38 | |
| 4 | 2019 | 44 | |
| 5 | 2018 | 23 | |
| 6 | 2018 | 219 | |
| 7 | 2016 | 35 | |
| 8 | 2015 | 27 | |
| 9 | 2012 | 40 | |
| 10 | 2011 | 35 | |
| 11 | 2007 | 469 | |
| 12 | 2004 | 178 | |
| 13 | A genetically encoded fluorescent reporter reveals oscillatory phosphorylation by protein kinase Cbreakdown → | 2003 | 460 |
| 14 | Partitioning of Lipid-Modified Monomeric GFPs into Membrane Microdomains of Live Cellsbreakdown → | 2002 | 1851 |
| 15 | 2000 | 417 | |
| 16 | 2000 | 194 | |
| 17 | 2000 | 348 | |
| 18 | 1997 | 134 | |
| 19 | 1997 | 17 | |
| 20 | 1995 | 27 |
About Alexandra C. Newton
Alexandra C. Newton is a scholar working on Cell Biology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 195 papers that have together received 20.5k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (115 papers), PI3K/AKT/mTOR signaling in cancer (50 papers), Receptor Mechanisms and Signaling (35 papers), Cellular transport and secretion (23 papers), Protein Tyrosine Phosphatases (19 papers), Ubiquitin and proteasome pathways (17 papers), Cell death mechanisms and regulation (12 papers) and Retinal Development and Disorders (12 papers). The work is most often cited by research in Molecular Biology (16.4k citations), Cell Biology (3.6k citations) and Biophysics (771 citations). Alexandra C. Newton has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Alex Toker, Roger Y. Tsien, Jonathan D. Violin, Tianyan Gao, David A. Zacharias, John Brognard, Frank B. Furnari, Maya T. Kunkel, Lisa M. Keranen and Jeffrey W. Orr. Their work appears in journals such as Science, Cell and Chemical Reviews.
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.