Luye Qin
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Cognitive Neuroscience top 5%
- Autism Spectrum Disorder Research
Papers in
-
- Neuroscience and Neuropharmacology Research 8
- Nerve injury and regeneration 5
- Neuroscience and Neural Engineering 3
- Co-authors
- Zhen Yan (15 shared papers)Kaijie Ma (13 shared papers)Ping Zhong (9 shared papers)Emmanuel Matas (3 shared papers)Jing Wei (4 shared papers)Sunghee Cho (7 shared papers)Rajiv R. Ratan (6 shared papers)Tao Tan (4 shared papers)
- Journals
- Journal of Neuroscience (5 papers)Nature Communications (2 papers)Neuropsychopharmacology (2 papers)Cerebral Cortex (2 papers)Molecular Psychiatry (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Luye Qin
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Developmental Neuroscience 144
- Cognitive Neuroscience 456
- Biological Psychiatry 58
- Neurology 172
- Cellular and Molecular Neuroscience 358
Countries citing papers authored by Luye Qin
This map shows the geographic impact of Luye Qin'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 Luye Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luye Qin more than expected).
Fields of papers citing papers by Luye Qin
This network shows the impact of papers produced by Luye Qin. 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 Luye Qin. The network helps show where Luye Qin may publish in the future.
Co-authors
The 25 scholars most cited alongside Luye Qin, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 226 | |
| 2 | 2018 | 172 | |
| 3 | 2012 | 92 | |
| 4 | 2014 | 80 | |
| 5 | 2011 | 68 | |
| 6 | 2019 | 55 | |
| 7 | 2017 | 55 | |
| 8 | 2018 | 54 | |
| 9 | 2015 | 47 | |
| 10 | 2018 | 47 | |
| 11 | 2019 | 39 | |
| 12 | 2021 | 37 | |
| 13 | 2014 | 35 | |
| 14 | 2021 | 24 | |
| 15 | 2022 | 24 | |
| 16 | 2013 | 23 | |
| 17 | 2020 | 18 | |
| 18 | 2023 | 16 | |
| 19 | 2014 | 16 | |
| 20 | 2016 | 16 |
About Luye Qin
Luye Qin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Genetics and Developmental Neuroscience, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (9 papers), Autism Spectrum Disorder Research (8 papers), Neuroscience and Neuropharmacology Research (8 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Nerve injury and regeneration (5 papers), Neuroscience and Neural Engineering (3 papers), Memory and Neural Mechanisms (3 papers) and Neurological Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Developmental Neuroscience (144 citations), Cognitive Neuroscience (456 citations), Biological Psychiatry (58 citations), Neurology (172 citations) and Cellular and Molecular Neuroscience (358 citations). Luye Qin has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Zhen Yan, Kaijie Ma, Ping Zhong, Emmanuel Matas, Jing Wei, Sunghee Cho, Rajiv R. Ratan, Tao Tan, Eunhee Kim and Lara J. Duffney. Their work appears in journals such as Journal of Neuroscience, Nature Communications, Neuropsychopharmacology, Cerebral Cortex and Molecular Psychiatry.
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.