Shuo Luo
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
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- Circadian rhythm and melatonin
Papers in
- Aging 8
- Genetics, Aging, and Longevity in Model Organisms 8
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- Axon Guidance and Neuronal Signaling 2
- Photoreceptor and optogenetics research 2
- Co-authors
- Michael L. Nonet (5 shared papers)Timothy R. Mahoney (3 shared papers)Zhao‐Wen Wang (1 shared paper)Takashi Itoh (1 shared paper)Gayla Hadwiger (1 shared paper)K. Dengke (6 shared papers)Mitsunori Fukuda (1 shared paper)Qiang Liu (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)eLife (2 papers)Journal of Neuroscience (1 paper)The Journal of Cell Biology (1 paper)Nature Protocols (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Shuo Luo
14 papers receiving 743 citations
Peers
Comparison fields: 5 of 76
- Aging 325
- Endocrine and Autonomic Systems 127
- Cell Biology 183
- Cellular and Molecular Neuroscience 182
- Developmental Neuroscience 34
Countries citing papers authored by Shuo Luo
This map shows the geographic impact of Shuo 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 Shuo Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuo Luo more than expected).
Fields of papers citing papers by Shuo Luo
This network shows the impact of papers produced by Shuo 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 Shuo Luo. The network helps show where Shuo Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuo 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 | 2006 | 214 | |
| 2 | 2006 | 137 | |
| 3 | 2010 | 99 | |
| 4 | 2008 | 72 | |
| 5 | 2005 | 48 | |
| 6 | 2020 | 43 | |
| 7 | 2018 | 28 | |
| 8 | 2021 | 27 | |
| 9 | 2014 | 17 | |
| 10 | 2010 | 16 | |
| 11 | 2020 | 15 | |
| 12 | 2017 | 15 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 7 |
About Shuo Luo
Shuo Luo is a scholar working on Aging, Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology and Endocrine and Autonomic Systems, having authored 14 papers that have together received 746 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (8 papers), Circadian rhythm and melatonin (3 papers), Cellular transport and secretion (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Photoreceptor and optogenetics research (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Ubiquitin and proteasome pathways (1 paper) and High Altitude and Hypoxia (1 paper). The work is most often cited by research in Aging (325 citations), Endocrine and Autonomic Systems (127 citations), Cell Biology (183 citations), Cellular and Molecular Neuroscience (182 citations) and Developmental Neuroscience (34 citations). Shuo Luo has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Michael L. Nonet, Timothy R. Mahoney, Zhao‐Wen Wang, Takashi Itoh, Gayla Hadwiger, K. Dengke, Mitsunori Fukuda, Qiang Liu, Meirong Bai and Eric J. Huang. Their work appears in journals such as Proceedings of the National Academy of Sciences, eLife, Journal of Neuroscience, The Journal of Cell Biology and Nature Protocols.
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.