Jennifer Choi
- Neurology top 5%
- Neurological Disease Mechanisms and Treatments 2
- Genetics top 10%
- Mesenchymal stem cell research 2
- Biomaterials top 10%
- Silk-based biomaterials and applications 3
- Electrospun Nanofibers in Biomedical Applications 3
- Endocrine and Autonomic Systems top 10%
- Physiology top 10%
- Alzheimer's disease research and treatments 4
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- Down syndrome and intellectual disability research 2
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- Neuroscience and Neuropharmacology Research 2
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- Trace Elements in Health 2
- Co-authors
- David L. KaplanGordana Vunjak‐NovakovicJeffrey M. GimbleTed AbelSvetlana M. StamatovicRichard F. KeepAnuska V. AndjelkovicMathieu E. Wimmer
- Cited by
- NeurologyGeneticsBiomaterials
- Journals
- Neurobiology of Learning and Memory (2 papers)Tissue Engineering Part A (1 paper)Tissue Engineering Part C Methods (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Jennifer Choi
22 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Neurology 173
- Genetics 136
- Biomaterials 164
- Endocrine and Autonomic Systems 67
- Physiology 255
Countries citing papers authored by Jennifer Choi
This map shows the geographic impact of Jennifer Choi'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 Jennifer Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Choi more than expected).
Fields of papers citing papers by Jennifer Choi
This network shows the impact of papers produced by Jennifer Choi. 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 Jennifer Choi. The network helps show where Jennifer Choi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jennifer Choi, 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 | 2024 | 2 | |
| 2 | 2018 | 103 | |
| 3 | 2018 | 111 | |
| 4 | 2017 | 42 | |
| 5 | 2016 | 3 | |
| 6 | 2014 | 31 | |
| 7 | 2014 | 30 | |
| 8 | 2014 | 100 | |
| 9 | 2013 | 32 | |
| 10 | 2011 | 20 | |
| 11 | 2010 | 188 | |
| 12 | 2010 | 26 | |
| 13 | 2010 | 33 | |
| 14 | 2009 | 73 | |
| 15 | 2009 | 50 | |
| 16 | 2009 | 85 | |
| 17 | 2009 | 36 | |
| 18 | 2008 | 10 | |
| 19 | 1996 | 26 | |
| 20 | 1994 | 22 |
About Jennifer Choi
Jennifer Choi is a scholar working on Architecture, Biomaterials and Neurology, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Silk-based biomaterials and applications (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Down syndrome and intellectual disability research (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), Mesenchymal stem cell research (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Trace Elements in Health (2 papers). The work is most often cited by research in Neurology (173 citations), Genetics (136 citations) and Biomaterials (164 citations). Jennifer Choi has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include David L. Kaplan, Gordana Vunjak‐Novakovic, Jeffrey M. Gimble, Ted Abel, Svetlana M. Stamatovic, Richard F. Keep, Anuska V. Andjelkovic, Mathieu E. Wimmer, Kacey G. Marra and James J. Yoo. Their work appears in journals such as Neurobiology of Learning and Memory, Tissue Engineering Part A, Tissue Engineering Part C Methods, Journal of Neuroscience and Japanese Journal of Clinical Oncology.
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.