Yu Shen
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
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- Circadian rhythm and melatonin
Papers in
- Aging 5
- Genetics, Aging, and Longevity in Model Organisms 5
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- Circadian rhythm and melatonin 3
- Co-authors
- Yun Zhang (3 shared papers)Yuqi Qin (2 shared papers)Aravinthan D. T. Samuel (2 shared papers)Christopher M. Fang-Yen (1 shared paper)Kang Shen (1 shared paper)Christopher V. Gabel (1 shared paper)Daniel A. Colón‐Ramos (1 shared paper)Michael Hendricks (1 shared paper)
- Journals
- Food Bioscience (2 papers)Science Advances (2 papers)Journal of Neuroscience (2 papers)Journal of Alzheimer s Disease (1 paper)PLoS Genetics (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yu Shen
22 papers receiving 588 citations
Peers
Comparison fields: 5 of 89
- Aging 244
- Endocrine and Autonomic Systems 162
- Molecular Medicine 49
- Insect Science 64
- Endocrinology 24
Countries citing papers authored by Yu Shen
This map shows the geographic impact of Yu Shen'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 Yu Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Shen more than expected).
Fields of papers citing papers by Yu Shen
This network shows the impact of papers produced by Yu Shen. 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 Yu Shen. The network helps show where Yu Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Shen, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 147 | |
| 2 | 2014 | 82 | |
| 3 | 2011 | 78 | |
| 4 | 2009 | 57 | |
| 5 | 2008 | 51 | |
| 6 | 2016 | 48 | |
| 7 | 2018 | 23 | |
| 8 | 2025 | 14 | |
| 9 | 2020 | 14 | |
| 10 | 2012 | 12 | |
| 11 | 2025 | 12 | |
| 12 | 2012 | 11 | |
| 13 | 2024 | 10 | |
| 14 | 2024 | 8 | |
| 15 | 2014 | 7 | |
| 16 | 2011 | 7 | |
| 17 | 2024 | 4 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 2 |
About Yu Shen
Yu Shen is a scholar working on Aging, Endocrine and Autonomic Systems, Insect Science, Immunology and Cell Biology, having authored 24 papers that have together received 593 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Circadian rhythm and melatonin (3 papers), Bacterial biofilms and quorum sensing (3 papers), Advanced Memory and Neural Computing (3 papers), Invertebrate Immune Response Mechanisms (2 papers), Insect symbiosis and bacterial influences (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Aging (244 citations), Endocrine and Autonomic Systems (162 citations), Molecular Medicine (49 citations), Insect Science (64 citations) and Endocrinology (24 citations). Yu Shen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yun Zhang, Yuqi Qin, Aravinthan D. T. Samuel, Christopher M. Fang-Yen, Kang Shen, Christopher V. Gabel, Daniel A. Colón‐Ramos, Michael Hendricks, Wulf Blankenfeldt and Samantha Haller. Their work appears in journals such as Food Bioscience, Science Advances, Journal of Neuroscience, Journal of Alzheimer s Disease and PLoS Genetics.
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.