Junyi Luo
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
Papers in
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- Medical Image Segmentation Techniques 2
- Co-authors
- Gilad Silberberg (1 shared paper)Anirudh Gupta (1 shared paper)Caizhi Wu (1 shared paper)Henry Markram (1 shared paper)Maria Toledo‐Rodriguez (1 shared paper)Yun Wang (1 shared paper)Ting Li (2 shared papers)Qingqing Wang (1 shared paper)
- Journals
- Developmental Cell (1 paper)The Journal of Physiology (1 paper)Materials (1 paper)Forests (1 paper)Journal of Drug Delivery Science and Technology (1 paper)
- Partner nations
- ChinaGermanySwitzerland
In The Last Decade
Junyi Luo
12 papers receiving 438 citations
Peers
Comparison fields: 5 of 77
- Cellular and Molecular Neuroscience 298
- Cognitive Neuroscience 255
- Developmental Neuroscience 37
- Neurology 48
- Biological Psychiatry 5
Countries citing papers authored by Junyi Luo
This map shows the geographic impact of Junyi Luo'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 Junyi Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyi Luo more than expected).
Fields of papers citing papers by Junyi Luo
This network shows the impact of papers produced by Junyi Luo. 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 Junyi Luo. The network helps show where Junyi Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyi Luo, 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 | 2004 | 354 | |
| 2 | 2020 | 31 | |
| 3 | 2008 | 23 | |
| 4 | 2023 | 14 | |
| 5 | 2018 | 7 | |
| 6 | 2019 | 6 | |
| 7 | 2018 | 5 | |
| 8 | 2023 | 2 | |
| 9 | 2025 | 2 | |
| 10 | 2024 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2014 | 1 | |
| 13 | 2025 | 0 |
About Junyi Luo
Junyi Luo is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Health, Toxicology and Mutagenesis, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 13 papers that have together received 447 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (2 papers), Optical Imaging and Spectroscopy Techniques (1 paper), Wind and Air Flow Studies (1 paper), Surfactants and Colloidal Systems (1 paper), Neuroscience and Neuropharmacology Research (1 paper), Medical Imaging Techniques and Applications (1 paper), melanin and skin pigmentation (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (298 citations), Cognitive Neuroscience (255 citations), Developmental Neuroscience (37 citations), Neurology (48 citations) and Biological Psychiatry (5 citations). Junyi Luo has collaborated with scholars based in China, Germany and Switzerland. Frequent co-authors include Gilad Silberberg, Anirudh Gupta, Caizhi Wu, Henry Markram, Maria Toledo‐Rodriguez, Yun Wang, Ting Li, Qingqing Wang, Zhenglun Kong and Huimin Yan. Their work appears in journals such as Developmental Cell, The Journal of Physiology, Materials, Forests and Journal of Drug Delivery Science and Technology.
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.