Xiaoling Chen

6.7k citations
311 papers · 5.3k · h-index 37

Impact in

Papers in

    • Muscle Physiology and Disorders 42
    • Gut microbiota and health 18
    • Adipose Tissue and Metabolism 48
    • Biochemical effects in animals 17

Xiaoling Chen

297 papers receiving 5.2k citations

Peers

Xiaoling Chen
Comparison fields: 5 of 153
  • Animal Science and Zoology 834
  • Geriatrics and Gerontology 185
  • Physiology 1.1k
  • Molecular Biology 2.7k
  • Cancer Research 557
Replace Chao Sun with:
Chao Sun China
Eun‐Kyung Kim South Korea
Fengna Li China
Qingyan Jiang China
Wenhong Cao China
Han Geuk Seo South Korea
Robert Ringseis Germany
Ting He China
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Gang Shu China
Xiaoling Chen relative to Chao Sun China Chao Sun's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xiaoling Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Xiaoling Chen Line = papers co-authored together Xiaoling Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 311 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008226
2 2006159
3 2011115
4 2012103
5 201694
6 201390
7 201481
8 202180
9 201878
10 200776
11 201976
12 201874
13 201969
14 202064
15 202158
16 202055
17 201248
18 202147
19 201645
20 202245

About Xiaoling Chen

Xiaoling Chen is a scholar working on Molecular Biology, Physiology, Animal Science and Zoology, Nutrition and Dietetics and Cell Biology, having authored 311 papers that have together received 5.3k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (48 papers), Muscle Physiology and Disorders (42 papers), Animal Nutrition and Physiology (25 papers), Exercise and Physiological Responses (23 papers), Selenium in Biological Systems (21 papers), Sirtuins and Resveratrol in Medicine (20 papers), Gut microbiota and health (18 papers) and Biochemical effects in animals (17 papers). The work is most often cited by research in Animal Science and Zoology (834 citations), Geriatrics and Gerontology (185 citations), Physiology (1.1k citations), Molecular Biology (2.7k citations) and Cancer Research (557 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.

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