Min Jee Jang
Impact in
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- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Biophysics top 1%
Papers in
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- Neuroscience and Neural Engineering 9
- Photoreceptor and optogenetics research 4
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- 3D Printing in Biomedical Research 8
- Co-authors
- Viviana Gradinaru (9 shared papers)Benjamin E. Deverman (4 shared papers)Ken Y. Chan (3 shared papers)Alon Greenbaum (4 shared papers)Carlos Lois (1 shared paper)Namita Ravi (1 shared paper)Bryan B. Yoo (1 shared paper)Luís Sánchez-Guardado (1 shared paper)
- Journals
- Scientific Reports (2 papers)Nature Protocols (2 papers)Macromolecular Bioscience (1 paper)Cell Reports (1 paper)Nature Methods (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Min Jee Jang
26 papers receiving 2.6k citations
Min Jee Jang's Hit Papers
Peers
Comparison fields: 5 of 113
- Cellular and Molecular Neuroscience 1.0k
- Biophysics 198
- Developmental Neuroscience 91
- Neurology 165
- Cognitive Neuroscience 336
Countries citing papers authored by Min Jee Jang
This map shows the geographic impact of Min Jee Jang'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 Min Jee Jang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Jee Jang more than expected).
Fields of papers citing papers by Min Jee Jang
This network shows the impact of papers produced by Min Jee Jang. 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 Min Jee Jang. The network helps show where Min Jee Jang may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Jee Jang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Engineered AAVs for efficient noninvasive gene delivery to the central and peripheral nervous systems Hit paper breakdown → | 2017 | 962 |
| 2 | Ultrafast neuronal imaging of dopamine dynamics with designed genetically encoded sensors Hit paper breakdown → | 2018 | 690 |
| 3 | 2019 | 254 | |
| 4 | 2019 | 148 | |
| 5 | 2020 | 131 | |
| 6 | 2010 | 49 | |
| 7 | 2018 | 46 | |
| 8 | 2010 | 43 | |
| 9 | 2012 | 33 | |
| 10 | 2015 | 33 | |
| 11 | 2013 | 30 | |
| 12 | 2023 | 29 | |
| 13 | 2015 | 24 | |
| 14 | 2015 | 15 | |
| 15 | 2016 | 15 | |
| 16 | 2012 | 14 | |
| 17 | 2013 | 12 | |
| 18 | 2021 | 11 | |
| 19 | 2010 | 10 | |
| 20 | 2017 | 7 |
About Min Jee Jang
Min Jee Jang is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering, Molecular Biology, Genetics and Cell Biology, having authored 28 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (9 papers), 3D Printing in Biomedical Research (8 papers), Virus-based gene therapy research (5 papers), RNA Interference and Gene Delivery (4 papers), Cellular Mechanics and Interactions (4 papers), Photoreceptor and optogenetics research (4 papers), CRISPR and Genetic Engineering (4 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.0k citations), Biophysics (198 citations), Developmental Neuroscience (91 citations), Neurology (165 citations) and Cognitive Neuroscience (336 citations). Min Jee Jang has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Viviana Gradinaru, Benjamin E. Deverman, Ken Y. Chan, Alon Greenbaum, Carlos Lois, Namita Ravi, Bryan B. Yoo, Luís Sánchez-Guardado, Sarkis K. Mazmanian and Wei‐Li Wu. Their work appears in journals such as Scientific Reports, Nature Protocols, Macromolecular Bioscience, Cell Reports and Nature Methods.
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.