Caroline Hookway
Impact in
- Biological Psychiatry top 10%
- Cell Biology top 10%
- Skin and Cellular Biology Research
- Cellular Mechanics and Interactions
Papers in
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- Pluripotent Stem Cells Research 2
- CRISPR and Genetic Engineering 2
- Receptor Mechanisms and Signaling 2
- Advanced biosensing and bioanalysis techniques 1
- Phosphodiesterase function and regulation 1
- Fungal and yeast genetics research 1
-
- Skin and Cellular Biology Research 4
- Cellular Mechanics and Interactions 2
- Co-authors
- Vladimir I. Gelfand (4 shared papers)Amélie Robert (3 shared papers)Saurav Seshadri (2 shared papers)Hanna Jaaro-Peled (2 shared papers)Satoshi Kida (1 shared paper)Rong Xue (1 shared paper)Koko Ishizuka (1 shared paper)Kenichi Oishi (1 shared paper)
- Journals
- Molecular Biology of the Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)Stem Cell Reports (1 paper)BioEssays (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- United StatesJapanRussia
In The Last Decade
Caroline Hookway
8 papers receiving 729 citations
Peers
Comparison fields: 5 of 80
- Biological Psychiatry 49
- Cell Biology 176
- Cellular and Molecular Neuroscience 193
- Biophysics 48
- Aging 14
Countries citing papers authored by Caroline Hookway
This map shows the geographic impact of Caroline Hookway'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 Caroline Hookway with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Hookway more than expected).
Fields of papers citing papers by Caroline Hookway
This network shows the impact of papers produced by Caroline Hookway. 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 Caroline Hookway. The network helps show where Caroline Hookway may publish in the future.
Co-authors
The 25 scholars most cited alongside Caroline Hookway, 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 | 2007 | 335 | |
| 2 | 2017 | 162 | |
| 3 | 2015 | 68 | |
| 4 | 2016 | 48 | |
| 5 | 2015 | 42 | |
| 6 | 2019 | 33 | |
| 7 | 2015 | 29 | |
| 8 | 2013 | 20 |
About Caroline Hookway
Caroline Hookway is a scholar working on Molecular Biology, Cell Biology, Cardiology and Cardiovascular Medicine, Biological Psychiatry and Biomaterials, having authored 8 papers that have together received 737 indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (4 papers), Pluripotent Stem Cells Research (2 papers), CRISPR and Genetic Engineering (2 papers), Receptor Mechanisms and Signaling (2 papers), Cellular Mechanics and Interactions (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Phosphodiesterase function and regulation (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Biological Psychiatry (49 citations), Cell Biology (176 citations), Cellular and Molecular Neuroscience (193 citations), Biophysics (48 citations) and Aging (14 citations). Caroline Hookway has collaborated with scholars based in United States, Japan and Russia. Frequent co-authors include Vladimir I. Gelfand, Amélie Robert, Saurav Seshadri, Hanna Jaaro-Peled, Satoshi Kida, Rong Xue, Koko Ishizuka, Kenichi Oishi, Susumu Mori and Mikhail V. Pletnikov. Their work appears in journals such as Molecular Biology of the Cell, Proceedings of the National Academy of Sciences, Stem Cell Reports, BioEssays and Methods in enzymology on CD-ROM/Methods in enzymology.
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.