Fengna Li

6.2k citations
123 papers · 4.8k · 3 hit papers · h-index 37

Impact in

Papers in

    • Gut microbiota and health 16
    • Muscle Physiology and Disorders 15
    • Adipose Tissue and Metabolism 47
    • Diet and metabolism studies 20

Fengna Li

119 papers receiving 4.8k citations

Fengna Li's Hit Papers

New insights into the role of mitochondrial dynamics in oxidative stress-induced diseases 2024 · 83 citations
830+2+5Years since publication100200300400500

Peers

Fengna Li
Comparison fields: 5 of 132
  • Animal Science and Zoology 1.1k
  • Physiology 1.6k
  • Biochemistry 273
  • Cell Biology 732
  • Nutrition and Dietetics 558
Replace Xiaoling Chen with:
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Fengna Li relative to Xiaoling Chen China Xiaoling Chen's profile →
Citations per field
00.5×1.5×1.8×
Xiaoling Chen · 1×
Citations per year

Countries citing papers authored by Fengna Li

Since Specialization
Citations

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

Fields of papers citing papers by Fengna Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fengna Li, 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 Fengna Li Line = papers co-authored together Fengna Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Antioxidant mechanism of tea polyphenols and its impact on health benefits
Hit paper breakdown →
2020530
2
Inflammatory Links Between High Fat Diets and Diseases
Hit paper breakdown →
2018349
3 2015247
4 2016216
5 2011208
6 2018145
7 2015124
8 2019115
9 2013100
10 201596
11 201684
12
New insights into the role of mitochondrial dynamics in oxidative stress-induced diseases
Hit paper breakdown →
202483
13 201669
14 201667
15 201365
16 201964
17 202059
18 201959
19 201758
20 201656

About Fengna Li

Fengna Li is a scholar working on Molecular Biology, Physiology, Animal Science and Zoology, Cell Biology and Epidemiology, having authored 123 papers that have together received 4.8k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (47 papers), Animal Nutrition and Physiology (27 papers), Muscle metabolism and nutrition (25 papers), Diet and metabolism studies (20 papers), Meat and Animal Product Quality (20 papers), Gut microbiota and health (16 papers), Muscle Physiology and Disorders (15 papers) and Adipokines, Inflammation, and Metabolic Diseases (10 papers). The work is most often cited by research in Animal Science and Zoology (1.1k citations), Physiology (1.6k citations), Biochemistry (273 citations), Cell Biology (732 citations) and Nutrition and Dietetics (558 citations). Fengna Li has collaborated with scholars based in China, United States and France. Frequent co-authors include Yulong Yin, Yehui Duan, Xiangfeng Kong, Yehui Duan, Yinzhao Zhong, Bie Tan, Zhaoming Yan, Yulong Tang, Qinghua Chen and Guoyao Wu. Their work appears in journals such as Animal nutrition, Food & Function, Amino Acids, Journal of Agricultural and Food Chemistry and Science China Life Sciences.

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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