Si‐Yao Lu
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
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- Neuroscience and Neural Engineering 4
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- Advanced Memory and Neural Computing 4
- Advanced Battery Materials and Technologies 3
- Advancements in Battery Materials 3
- Co-authors
- Jun Yao (9 shared papers)Yaonan Liu (5 shared papers)Fei Zeng (4 shared papers)Feng Pan (4 shared papers)Yun Chen (3 shared papers)Shuangli Mi (4 shared papers)Bo Yang (2 shared papers)Fred H. Gage (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Neuroscience (2 papers)Nature Communications (2 papers)Journal of Dermatological Science (1 paper)Psychiatry and Clinical Neurosciences (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Si‐Yao Lu
24 papers receiving 462 citations
Peers
Comparison fields: 5 of 81
- Aging 13
- Cellular and Molecular Neuroscience 114
- Polymers and Plastics 54
- Biological Psychiatry 7
- Psychiatry and Mental health 40
Countries citing papers authored by Si‐Yao Lu
This map shows the geographic impact of Si‐Yao Lu'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 Si‐Yao Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Si‐Yao Lu more than expected).
Fields of papers citing papers by Si‐Yao Lu
This network shows the impact of papers produced by Si‐Yao Lu. 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 Si‐Yao Lu. The network helps show where Si‐Yao Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Si‐Yao Lu, 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 | 2018 | 132 | |
| 2 | 2014 | 88 | |
| 3 | 2021 | 29 | |
| 4 | 1997 | 27 | |
| 5 | 2015 | 25 | |
| 6 | 2020 | 19 | |
| 7 | 2017 | 19 | |
| 8 | 2022 | 17 | |
| 9 | 2023 | 16 | |
| 10 | 2016 | 13 | |
| 11 | 2017 | 12 | |
| 12 | 2024 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2021 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2015 | 5 | |
| 19 | 2025 | 5 | |
| 20 | 2025 | 4 |
About Si‐Yao Lu
Si‐Yao Lu is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Molecular Biology, Immunology and Cognitive Neuroscience, having authored 28 papers that have together received 467 indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (5 papers), Advanced Memory and Neural Computing (4 papers), Neuroscience and Neural Engineering (4 papers), Conducting polymers and applications (3 papers), Advanced Battery Materials and Technologies (3 papers), Advancements in Battery Materials (3 papers), CRISPR and Genetic Engineering (3 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Aging (13 citations), Cellular and Molecular Neuroscience (114 citations), Polymers and Plastics (54 citations), Biological Psychiatry (7 citations) and Psychiatry and Mental health (40 citations). Si‐Yao Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jun Yao, Yaonan Liu, Fei Zeng, Feng Pan, Yun Chen, Shuangli Mi, Bo Yang, Fred H. Gage, Shuang Gao and Xia Yu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Neuroscience, Nature Communications, Journal of Dermatological Science and Psychiatry and Clinical Neurosciences.
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.