Daoyuan Lu
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Aging top 5%
Papers in
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- Receptor Mechanisms and Signaling 2
- Cell death mechanisms and regulation 2
- Machine Learning in Bioinformatics 1
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- Adipose Tissue and Metabolism 2
- Biochemical effects in animals 2
- Alzheimer's disease research and treatments 1
- Co-authors
- Aiwu Cheng (3 shared papers)Mark P. Mattson (3 shared papers)Yong Liu (2 shared papers)Ying Yang (2 shared papers)Ruiqian Wan (2 shared papers)Vilhelm A. Bohr (1 shared paper)Peifeng Li (2 shared papers)Chinmoyee Maharana (1 shared paper)
- Journals
- PLoS ONE (3 papers)Molecular and Cellular Biology (2 papers)Cell Metabolism (1 paper)Vitamins and hormones (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Daoyuan Lu
13 papers receiving 807 citations
Peers
Comparison fields: 5 of 103
- Geriatrics and Gerontology 170
- Aging 39
- Biological Psychiatry 39
- Physiology 278
- Endocrine and Autonomic Systems 50
Countries citing papers authored by Daoyuan Lu
This map shows the geographic impact of Daoyuan 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 Daoyuan Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daoyuan Lu more than expected).
Fields of papers citing papers by Daoyuan Lu
This network shows the impact of papers produced by Daoyuan 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 Daoyuan Lu. The network helps show where Daoyuan Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Daoyuan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 304 | |
| 2 | 2019 | 130 | |
| 3 | 2007 | 90 | |
| 4 | 2019 | 71 | |
| 5 | 2012 | 61 | |
| 6 | 2012 | 52 | |
| 7 | 2013 | 47 | |
| 8 | 2015 | 24 | |
| 9 | 2018 | 17 | |
| 10 | 2012 | 11 | |
| 11 | 2016 | 6 | |
| 12 | 2021 | 3 | |
| 13 | [Study on the expression of zebrafish (Danio rerio) nanos1 during gametogenesis by in situ hybridization]. | 2005 | 1 |
About Daoyuan Lu
Daoyuan Lu is a scholar working on Molecular Biology, Physiology, Cancer Research, Cellular and Molecular Neuroscience and Spectroscopy, having authored 13 papers that have together received 817 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (2 papers), Receptor Mechanisms and Signaling (2 papers), Biochemical effects in animals (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Cell death mechanisms and regulation (2 papers), Machine Learning in Bioinformatics (1 paper), Nerve injury and regeneration (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Geriatrics and Gerontology (170 citations), Aging (39 citations), Biological Psychiatry (39 citations), Physiology (278 citations) and Endocrine and Autonomic Systems (50 citations). Daoyuan Lu has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Aiwu Cheng, Mark P. Mattson, Yong Liu, Ying Yang, Ruiqian Wan, Vilhelm A. Bohr, Peifeng Li, Chinmoyee Maharana, Weiqi Tan and Ye Zhou. Their work appears in journals such as PLoS ONE, Molecular and Cellular Biology, Cell Metabolism, Vitamins and hormones and Journal of Biological Chemistry.
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.