Ben Zhou
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
-
- Circadian rhythm and melatonin
Papers in
-
- Metabolism, Diabetes, and Cancer 5
- Mitochondrial Function and Pathology 4
- Physiology 12
- Adipose Tissue and Metabolism 5
- Co-authors
- Qiwei Zhai (12 shared papers)Fang Zhang (11 shared papers)Jingxia Wu (5 shared papers)Yanan Hu (4 shared papers)Alexander A. Soukas (6 shared papers)Lianfeng Wu (4 shared papers)Zhishui He (5 shared papers)Michael C. Kacergis (3 shared papers)
- Journals
- PLoS ONE (3 papers)Diabetes (3 papers)The FASEB Journal (2 papers)Cell (2 papers)Nature Communications (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ben Zhou
61 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 132
- Aging 132
- Endocrine and Autonomic Systems 154
- Geriatrics and Gerontology 63
- Physiology 364
- Biological Psychiatry 22
Countries citing papers authored by Ben Zhou
This map shows the geographic impact of Ben Zhou'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 Ben Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Zhou more than expected).
Fields of papers citing papers by Ben Zhou
This network shows the impact of papers produced by Ben Zhou. 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 Ben Zhou. The network helps show where Ben Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben Zhou, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 176 | |
| 2 | 2019 | 157 | |
| 3 | 2014 | 121 | |
| 4 | 2023 | 95 | |
| 5 | 2012 | 85 | |
| 6 | 2012 | 71 | |
| 7 | 2016 | 69 | |
| 8 | 2013 | 67 | |
| 9 | 2011 | 48 | |
| 10 | 2013 | 44 | |
| 11 | 2011 | 35 | |
| 12 | 2010 | 32 | |
| 13 | 2009 | 31 | |
| 14 | 2016 | 29 | |
| 15 | 2022 | 28 | |
| 16 | 2023 | 27 | |
| 17 | 2017 | 26 | |
| 18 | 2022 | 23 | |
| 19 | 2011 | 23 | |
| 20 | 2021 | 23 |
About Ben Zhou
Ben Zhou is a scholar working on Molecular Biology, Physiology, Biomedical Engineering, Epidemiology and Artificial Intelligence, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (5 papers), Adipose Tissue and Metabolism (5 papers), Topic Modeling (5 papers), Catalysis for Biomass Conversion (5 papers), Sports Performance and Training (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Mitochondrial Function and Pathology (4 papers) and Forest, Soil, and Plant Ecology in China (3 papers). The work is most often cited by research in Aging (132 citations), Endocrine and Autonomic Systems (154 citations), Geriatrics and Gerontology (63 citations), Physiology (364 citations) and Biological Psychiatry (22 citations). Ben Zhou has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Qiwei Zhai, Fang Zhang, Jingxia Wu, Yanan Hu, Alexander A. Soukas, Lianfeng Wu, Zhishui He, Michael C. Kacergis, Christopher M. Webster and Yuangao Wang. Their work appears in journals such as PLoS ONE, Diabetes, The FASEB Journal, Cell and Nature Communications.
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.