Danxia Zhou
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
- Geriatrics and Gerontology top 10%
Papers in
- Physiology 10
- Adipose Tissue and Metabolism 10
-
- Muscle Physiology and Disorders 6
- Metabolism, Diabetes, and Cancer 5
- Mitochondrial Function and Pathology 4
- Fibroblast Growth Factor Research 2
- Co-authors
- Zhenji Gan (14 shared papers)Liwei Xiao (8 shared papers)Tingting Fu (9 shared papers)Xijun Liang (3 shared papers)Min‐Sheng Zhu (3 shared papers)Zhisheng Xu (5 shared papers)Lin Liu (3 shared papers)Qiqi Guo (6 shared papers)
- Journals
- Nature Communications (3 papers)Advanced Science (2 papers)ACS Applied Materials & Interfaces (1 paper)Nature Cell Biology (1 paper)PLoS Genetics (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Danxia Zhou
18 papers receiving 745 citations
Peers
Comparison fields: 5 of 83
- Physiology 233
- Geriatrics and Gerontology 25
- Rehabilitation 45
- Molecular Biology 393
- Cancer Research 75
Countries citing papers authored by Danxia Zhou
This map shows the geographic impact of Danxia 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 Danxia Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danxia Zhou more than expected).
Fields of papers citing papers by Danxia Zhou
This network shows the impact of papers produced by Danxia 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 Danxia Zhou. The network helps show where Danxia Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Danxia 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 120 | |
| 2 | 2016 | 113 | |
| 3 | 2016 | 82 | |
| 4 | 2017 | 81 | |
| 5 | 2022 | 68 | |
| 6 | 2018 | 52 | |
| 7 | 2022 | 42 | |
| 8 | 2020 | 41 | |
| 9 | 2021 | 34 | |
| 10 | 2023 | 27 | |
| 11 | 2024 | 23 | |
| 12 | 2022 | 23 | |
| 13 | 2021 | 17 | |
| 14 | 2023 | 12 | |
| 15 | 2024 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2022 | 4 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 |
About Danxia Zhou
Danxia Zhou is a scholar working on Physiology, Molecular Biology, Rehabilitation, Cell Biology and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 753 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (10 papers), Muscle Physiology and Disorders (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Mitochondrial Function and Pathology (4 papers), Exercise and Physiological Responses (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Fibroblast Growth Factor Research (2 papers) and Muscle metabolism and nutrition (2 papers). The work is most often cited by research in Physiology (233 citations), Geriatrics and Gerontology (25 citations), Rehabilitation (45 citations), Molecular Biology (393 citations) and Cancer Research (75 citations). Danxia Zhou has collaborated with scholars based in China and United States. Frequent co-authors include Zhenji Gan, Liwei Xiao, Tingting Fu, Xijun Liang, Min‐Sheng Zhu, Zhisheng Xu, Lin Liu, Qiqi Guo, Zong‐Wan Mao and Qian Cao. Their work appears in journals such as Nature Communications, Advanced Science, ACS Applied Materials & Interfaces, Nature Cell Biology 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.