Min Jee Jang
Impact in
-
- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Biophysics top 1%
Papers in
-
- Neuroscience and Neural Engineering 9
- Photoreceptor and optogenetics research 4
- Co-authors
- Viviana GradinaruBenjamin E. DevermanKen Y. ChanAlon GreenbaumCarlos LoisNamita RaviLuís Sánchez-GuardadoBryan B. Yoo
- Journals
- Scientific Reports (2 papers)Nature Protocols (2 papers)Nature Methods (1 paper)BMC Biology (1 paper)BioChip Journal (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Min Jee Jang
26 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Cellular and Molecular Neuroscience 1.0k
- Biophysics 205
- Developmental Neuroscience 92
- Neurology 170
- Molecular Biology 1.2k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 29 | |
| 2 | 2021 | 9 | |
| 3 | 2020 | 129 | |
| 4 | 2019 | 142 | |
| 5 | 2019 | 5 | |
| 6 | 2019 | 242 | |
| 7 | Ultrafast neuronal imaging of dopamine dynamics with designed genetically encoded sensors Hit paper breakdown → | 2018 | 669 |
| 8 | 2018 | 45 | |
| 9 | 2018 | 7 | |
| 10 | Engineered AAVs for efficient noninvasive gene delivery to the central and peripheral nervous systems Hit paper breakdown → | 2017 | 928 |
| 11 | 2017 | 7 | |
| 12 | 2016 | 5 | |
| 13 | 2016 | 15 | |
| 14 | 2013 | 30 | |
| 15 | 2012 | 33 | |
| 16 | 2010 | 43 | |
| 17 | 2010 | 49 | |
| 18 | 2010 | 1 | |
| 19 | Improvement of Cold Mill Precalcution Accuracy Using a Corrective Neural Network | 1996 | 1 |
| 20 | Improvement of Roll Force Prediction Accuracy in Cold Mill using a Corrective Neural Networks | 1996 | 0 |
About Min Jee Jang
Min Jee Jang is a scholar working on Cellular and Molecular Neuroscience, Biophysics, Cell Biology, Developmental Neuroscience and Biomedical Engineering, having authored 28 papers that have together received 2.5k 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), Photoreceptor and optogenetics research (4 papers), RNA Interference and Gene Delivery (4 papers), Cellular Mechanics and Interactions (4 papers), CRISPR and Genetic Engineering (4 papers) and Mineral Processing and Grinding (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.0k citations), Biophysics (205 citations), Developmental Neuroscience (92 citations), Neurology (170 citations) and Molecular Biology (1.2k 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, Luís Sánchez-Guardado, Bryan B. Yoo, Sarkis K. Mazmanian and Wei‐Li Wu. Their work appears in journals such as Scientific Reports, Nature Protocols, Nature Methods, BMC Biology and BioChip Journal.
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.