Fenfen Yan

759 total citations
16 papers, 614 citations indexed

About

Fenfen Yan is a scholar working on Molecular Biology, Food Science and Nutrition and Dietetics. According to data from OpenAlex, Fenfen Yan has authored 16 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Food Science and 4 papers in Nutrition and Dietetics. Recurrent topics in Fenfen Yan's work include Gut microbiota and health (9 papers), Probiotics and Fermented Foods (6 papers) and Diet and metabolism studies (3 papers). Fenfen Yan is often cited by papers focused on Gut microbiota and health (9 papers), Probiotics and Fermented Foods (6 papers) and Diet and metabolism studies (3 papers). Fenfen Yan collaborates with scholars based in China, Nigeria and Russia. Fenfen Yan's co-authors include Bailiang Li, Guicheng Huo, Jialu Shi, Yingxue Yue, Nana Wang, Yue Song, Na Li, Jiaqi Guan, Fei Liu and Huizhen Li and has published in prestigious journals such as Frontiers in Microbiology, Sensors and Frontiers in Plant Science.

In The Last Decade

Fenfen Yan

14 papers receiving 606 citations

Peers

Fenfen Yan
Yonggan Sun China
Yingxue Yue China
Vineet Singh South Korea
Yadong Zhong China
Naschla Gasaly Chile
Giselle Nobre Costa Brazil
Takayuki Toshimitsu Japan
Guicheng Huo China
Arjan Narbad United Kingdom
Johan van Hylckama Vlieg Netherlands
Yonggan Sun China
Fenfen Yan
Citations per year, relative to Fenfen Yan Fenfen Yan (= 1×) peers Yonggan Sun

Countries citing papers authored by Fenfen Yan

Since Specialization
Citations

This map shows the geographic impact of Fenfen Yan'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 Fenfen Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fenfen Yan more than expected).

Fields of papers citing papers by Fenfen Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fenfen Yan. 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 Fenfen Yan. The network helps show where Fenfen Yan may publish in the future.

Co-authorship network of co-authors of Fenfen Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Fenfen Yan. A scholar is included among the top collaborators of Fenfen Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fenfen Yan. Fenfen Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
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Yan, Fenfen, Qingxue Chen, Fei Liu, et al.. (2024). High-fat diet promotes type 2 diabetes mellitus by disrupting gut microbial rhythms and short-chain fatty acid synthesis. Food & Function. 15(21). 10838–10852. 6 indexed citations
4.
Shang, Guijun, Xueqing Yan, Geoffrey Liu, et al.. (2024). Identification and fruit characteristics evaluation of triploids generated by hybridization between diploids and tetraploids in Chinese jujube. Scientia Horticulturae. 338. 113764–113764. 3 indexed citations
5.
Dong, Mengyi, et al.. (2023). Genetic analysis of mixed models of fruit sugar–acid fractions in a cross between jujube (Ziziphus jujuba Mill.) and wild jujube (Z. acido jujuba). Frontiers in Plant Science. 14. 1181903–1181903. 5 indexed citations
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Li, Aili, Nana Wang, Na Li, et al.. (2021). Modulation effect of chenpi extract on gut microbiota in high‐fat diet‐induced obese C57BL/6 mice. Journal of Food Biochemistry. 45(4). e13541–e13541. 29 indexed citations
8.
Yan, Fenfen, et al.. (2020). Recent advances in understanding the potential impact of probiotic on ulcerative colitis.. Shipin Kexue / Food Science. 41(15). 301–308. 1 indexed citations
9.
Li, Huizhen, Fei Liu, Jingjing Lu, et al.. (2020). Probiotic Mixture of Lactobacillus plantarum Strains Improves Lipid Metabolism and Gut Microbiota Structure in High Fat Diet-Fed Mice. Frontiers in Microbiology. 11. 512–512. 139 indexed citations
10.
Li, Na, Fenfen Yan, Nana Wang, et al.. (2020). Distinct Gut Microbiota and Metabolite Profiles Induced by Different Feeding Methods in Healthy Chinese Infants. Frontiers in Microbiology. 11. 714–714. 46 indexed citations
11.
Yan, Fenfen, Na Li, Yingxue Yue, et al.. (2020). Screening for Potential Novel Probiotics With Dipeptidyl Peptidase IV-Inhibiting Activity for Type 2 Diabetes Attenuation in vitro and in vivo. Frontiers in Microbiology. 10. 59 indexed citations
12.
Wang, Song, Jiaqi Guan, Jialu Shi, et al.. (2020). Milk fermented with Lactococcus lactis KLDS4.0325 alleviates folate status in deficient mice. Food & Function. 11(5). 4571–4581. 11 indexed citations
13.
Yan, Fenfen, Na Li, Jialu Shi, et al.. (2019). Lactobacillus acidophilus alleviates type 2 diabetes by regulating hepatic glucose, lipid metabolism and gut microbiota in mice. Food & Function. 10(9). 5804–5815. 180 indexed citations
14.
Li, Bailiang, Smith Etareri Evivie, Da Jin, et al.. (2018). Complete genome sequence of Enterococcus durans KLDS6.0933, a potential probiotic strain with high cholesterol removal ability. Gut Pathogens. 10(1). 32–32. 19 indexed citations
15.
Li, Bailiang, Da Jin, Smith Etareri Evivie, et al.. (2017). Safety Assessment of Lactobacillus helveticus KLDS1.8701 Based on Whole Genome Sequencing and Oral Toxicity Studies. Toxins. 9(10). 301–301. 22 indexed citations
16.
Yan, Fenfen, Hailong Cao, Daniel J. Moore, et al.. (2016). Neonatal colonization of mice with LGG promotes intestinal development and decreases susceptibility to colitis in adulthood. Mucosal Immunology. 10(1). 117–127. 92 indexed citations

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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2026