Xiaoling Chen
Impact in
- Animal Science and Zoology top 0.5%
- Animal Nutrition and Physiology
- Meat and Animal Product Quality
- Geriatrics and Gerontology top 1%
Papers in
-
- Muscle Physiology and Disorders 40
- Gut microbiota and health 15
- Physiology 78
- Adipose Tissue and Metabolism 47
- Biochemical effects in animals 16
- Co-authors
- Zhiqing Huang (121 shared papers)Guangmang Liu (124 shared papers)Gang Jia (123 shared papers)Hua Zhao (121 shared papers)Daiwen Chen (71 shared papers)Bing Yu (57 shared papers)Jun He (48 shared papers)Ping Zheng (49 shared papers)
- Journals
- Food & Function (13 papers)RSC Advances (11 papers)The Journal of Nutritional Biochemistry (11 papers)Animal nutrition (9 papers)Biological Trace Element Research (7 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaoling Chen
299 papers receiving 5.4k citations
Peers
Comparison fields: 5 of 151
- Animal Science and Zoology 821
- Geriatrics and Gerontology 172
- Physiology 1.0k
- Molecular Biology 2.6k
- Nutrition and Dietetics 551
Countries citing papers authored by Xiaoling Chen
This map shows the geographic impact of Xiaoling Chen'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 Xiaoling Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Chen more than expected).
Fields of papers citing papers by Xiaoling Chen
This network shows the impact of papers produced by Xiaoling Chen. 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 Xiaoling Chen. The network helps show where Xiaoling Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling Chen, 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 315 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 234 | |
| 2 | 2006 | 164 | |
| 3 | 2011 | 120 | |
| 4 | 2012 | 104 | |
| 5 | 2016 | 97 | |
| 6 | 2013 | 90 | |
| 7 | 2021 | 86 | |
| 8 | 2014 | 84 | |
| 9 | 2019 | 80 | |
| 10 | 2018 | 80 | |
| 11 | 2007 | 78 | |
| 12 | 2018 | 75 | |
| 13 | 2019 | 71 | |
| 14 | 2020 | 69 | |
| 15 | 2021 | 61 | |
| 16 | 2020 | 58 | |
| 17 | 2012 | 57 | |
| 18 | 2021 | 52 | |
| 19 | 2007 | 51 | |
| 20 | 2019 | 47 |
About Xiaoling Chen
Xiaoling Chen is a scholar working on Molecular Biology, Physiology, Animal Science and Zoology, Nutrition and Dietetics and Epidemiology, having authored 315 papers that have together received 5.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (47 papers), Muscle Physiology and Disorders (40 papers), Animal Nutrition and Physiology (24 papers), Exercise and Physiological Responses (21 papers), Selenium in Biological Systems (20 papers), Sirtuins and Resveratrol in Medicine (19 papers), Biochemical effects in animals (16 papers) and Gut microbiota and health (15 papers). The work is most often cited by research in Animal Science and Zoology (821 citations), Geriatrics and Gerontology (172 citations), Physiology (1.0k citations), Molecular Biology (2.6k citations) and Nutrition and Dietetics (551 citations). Xiaoling Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhiqing Huang, Guangmang Liu, Gang Jia, Hua Zhao, Daiwen Chen, Bing Yu, Jun He, Ping Zheng, Yuheng Luo and Jingyi Cai. Their work appears in journals such as Food & Function, RSC Advances, The Journal of Nutritional Biochemistry, Animal nutrition and Biological Trace Element Research.
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.