Tracy A. Hookway
Impact in
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Pluripotent Stem Cells Research
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- Plant Science top 10%
- Chromosomal and Genetic Variations
Papers in
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- Analytical Chemistry and Sensors 3
-
- Neuroscience and Neural Engineering 9
- Co-authors
- Todd C. McDevittBryan R. LajoieYuhua SunWilliam WagstaffStephen DaltonJames TaylorM. BlandVictor G. Corces
- Journals
- Journal of Visualized Experiments (2 papers)Tissue Engineering Part A (2 papers)IEEE Transactions on Biomedical Circuits and Systems (1 paper)Scientific Reports (1 paper)Advanced Materials Technologies (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Tracy A. Hookway
20 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Molecular Biology 1.0k
- Plant Science 255
- Developmental Neuroscience 27
- Cellular and Molecular Neuroscience 115
- Biomedical Engineering 276
Countries citing papers authored by Tracy A. Hookway
This map shows the geographic impact of Tracy A. 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 Tracy A. Hookway with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tracy A. Hookway more than expected).
Fields of papers citing papers by Tracy A. Hookway
This network shows the impact of papers produced by Tracy A. 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 Tracy A. Hookway. The network helps show where Tracy A. Hookway may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tracy A. 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 9 | |
| 4 | 2020 | 7 | |
| 5 | 2019 | 15 | |
| 6 | 2018 | 19 | |
| 7 | 2018 | 19 | |
| 8 | 2018 | 4 | |
| 9 | 2017 | 52 | |
| 10 | 2017 | 18 | |
| 11 | 2016 | 16 | |
| 12 | 2015 | 43 | |
| 13 | 2015 | 2 | |
| 14 | 2015 | 64 | |
| 15 | 2015 | 1 | |
| 16 | 2014 | 59 | |
| 17 | 2014 | 5 | |
| 18 | 2013 | 72 | |
| 19 | Architectural Protein Subclasses Shape 3D Organization of Genomes during Lineage Commitment Hit paper breakdown → | 2013 | 871 |
| 20 | 2012 | 23 |
About Tracy A. Hookway
Tracy A. Hookway is a scholar working on Bioengineering, Cellular and Molecular Neuroscience, Biomedical Engineering, Biomaterials and Developmental Neuroscience, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (11 papers), Neuroscience and Neural Engineering (9 papers), Pluripotent Stem Cells Research (7 papers), Tissue Engineering and Regenerative Medicine (4 papers), Microfluidic and Bio-sensing Technologies (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Analytical Chemistry and Sensors (3 papers) and Additive Manufacturing and 3D Printing Technologies (2 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Plant Science (255 citations), Developmental Neuroscience (27 citations), Cellular and Molecular Neuroscience (115 citations) and Biomedical Engineering (276 citations). Tracy A. Hookway has collaborated with scholars based in United States and Italy. Frequent co-authors include Todd C. McDevitt, Bryan R. Lajoie, Yuhua Sun, William Wagstaff, Stephen Dalton, James Taylor, M. Bland, Victor G. Corces, Ranjan Sen and Joshua S. K. Bell. Their work appears in journals such as Journal of Visualized Experiments, Tissue Engineering Part A, IEEE Transactions on Biomedical Circuits and Systems, Scientific Reports and Advanced Materials Technologies.
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.