Ji-Ann Lee
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA regulation and disease
Papers in
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- RNA Research and Splicing 8
- RNA and protein synthesis mechanisms 4
- RNA regulation and disease 4
- RNA modifications and cancer 3
- Advanced biosensing and bioanalysis techniques 1
- Signaling Pathways in Disease 1
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- Neurogenesis and neuroplasticity mechanisms 2
- Co-authors
- Douglas L. Black (7 shared papers)Kelsey C. Martin (4 shared papers)Victoria M. Ho (1 shared paper)Qin Li (1 shared paper)Jiuyong Xie (2 shared papers)Chia-Ho Lin (3 shared papers)Andrey Damianov (3 shared papers)Tracy L. Kress (1 shared paper)
- Journals
- Neuron (2 papers)Genes & Development (1 paper)PLoS Biology (1 paper)Enzyme and Microbial Technology (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesTaiwanIndia
In The Last Decade
Ji-Ann Lee
12 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 101
- Cellular and Molecular Neuroscience 383
- Molecular Biology 1.0k
- Developmental Neuroscience 43
- Aging 14
- Cancer Research 116
Countries citing papers authored by Ji-Ann Lee
This map shows the geographic impact of Ji-Ann Lee'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 Ji-Ann Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji-Ann Lee more than expected).
Fields of papers citing papers by Ji-Ann Lee
This network shows the impact of papers produced by Ji-Ann Lee. 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 Ji-Ann Lee. The network helps show where Ji-Ann Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji-Ann Lee, 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 | 2011 | 448 | |
| 2 | 2007 | 291 | |
| 3 | 2003 | 153 | |
| 4 | 2015 | 152 | |
| 5 | 2016 | 147 | |
| 6 | 2009 | 123 | |
| 7 | 2007 | 80 | |
| 8 | 2016 | 77 | |
| 9 | 2013 | 69 | |
| 10 | 2018 | 63 | |
| 11 | 1999 | 10 | |
| 12 | 2023 | 1 | |
| 13 | 2016 | 0 |
About Ji-Ann Lee
Ji-Ann Lee is a scholar working on Molecular Biology, Developmental Neuroscience, Biomedical Engineering, Organic Chemistry and Genetics, having authored 13 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (4 papers), RNA regulation and disease (4 papers), RNA modifications and cancer (3 papers), Microfluidic and Bio-sensing Technologies (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (383 citations), Molecular Biology (1.0k citations), Developmental Neuroscience (43 citations), Aging (14 citations) and Cancer Research (116 citations). Ji-Ann Lee has collaborated with scholars based in United States, Taiwan and India. Frequent co-authors include Douglas L. Black, Kelsey C. Martin, Victoria M. Ho, Qin Li, Jiuyong Xie, Chia-Ho Lin, Andrey Damianov, Tracy L. Kress, Kimberly L. Mowry and Yi Xing. Their work appears in journals such as Neuron, Genes & Development, PLoS Biology, Enzyme and Microbial Technology and Journal of Neuroscience.
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.