Lan Luan
Impact in
-
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Papers in
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- Neuroscience and Neural Engineering 18
- Photoreceptor and optogenetics research 6
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- Neural dynamics and brain function 8
- EEG and Brain-Computer Interfaces 5
- Co-authors
- Chong Xie (21 shared papers)Zhengtuo Zhao (7 shared papers)Xiaoling Wei (5 shared papers)Ojas Potnis (3 shared papers)Andrew K. Dunn (4 shared papers)Hanlin Zhu (10 shared papers)Kathryn A. Moler (7 shared papers)Fei He (9 shared papers)
- Journals
- Physical Review B (3 papers)Cell Reports (2 papers)Neuron (2 papers)Science Advances (2 papers)Advanced Science (2 papers)
- Partner nations
- United StatesChinaBrazil
In The Last Decade
Lan Luan
42 papers receiving 1.9k citations
Lan Luan's Hit Papers
Peers
Comparison fields: 5 of 106
- Cellular and Molecular Neuroscience 963
- Cognitive Neuroscience 538
- Condensed Matter Physics 298
- Polymers and Plastics 200
- Biomedical Engineering 513
Countries citing papers authored by Lan Luan
This map shows the geographic impact of Lan Luan'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 Lan Luan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Luan more than expected).
Fields of papers citing papers by Lan Luan
This network shows the impact of papers produced by Lan Luan. 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 Lan Luan. The network helps show where Lan Luan may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Luan, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Ultraflexible nanoelectronic probes form reliable, glial scar–free neural integration Hit paper breakdown → | 2017 | 432 |
| 2 | 2013 | 169 | |
| 3 | 2008 | 155 | |
| 4 | 2018 | 119 | |
| 5 | 2022 | 106 | |
| 6 | 2020 | 101 | |
| 7 | 2016 | 95 | |
| 8 | 2020 | 73 | |
| 9 | 2010 | 72 | |
| 10 | 2011 | 59 | |
| 11 | 2017 | 53 | |
| 12 | 2020 | 51 | |
| 13 | 2019 | 45 | |
| 14 | 2023 | 44 | |
| 15 | 2007 | 42 | |
| 16 | 2009 | 41 | |
| 17 | 2021 | 38 | |
| 18 | 2015 | 34 | |
| 19 | 2009 | 31 | |
| 20 | 2019 | 31 |
About Lan Luan
Lan Luan is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 44 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (18 papers), Advanced Memory and Neural Computing (11 papers), Neural dynamics and brain function (8 papers), Photoreceptor and optogenetics research (6 papers), EEG and Brain-Computer Interfaces (5 papers), Bone Tissue Engineering Materials (4 papers), Magnetic properties of thin films (4 papers) and Physics of Superconductivity and Magnetism (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (963 citations), Cognitive Neuroscience (538 citations), Condensed Matter Physics (298 citations), Polymers and Plastics (200 citations) and Biomedical Engineering (513 citations). Lan Luan has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Chong Xie, Zhengtuo Zhao, Xiaoling Wei, Ojas Potnis, Andrew K. Dunn, Hanlin Zhu, Kathryn A. Moler, Fei He, Raymond A. Chitwood and Xue Li. Their work appears in journals such as Physical Review B, Cell Reports, Neuron, Science Advances and Advanced Science.
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.