Fengna Li
- Animal Science and Zoology top 0.5%
- Animal Nutrition and Physiology 27
- Meat and Animal Product Quality 20
- Physiology top 1%
- Adipose Tissue and Metabolism 47
- Diet and metabolism studies 20
- Biochemistry top 2%
- Cell Biology top 2%
- Muscle metabolism and nutrition 25
- Nutrition and Dietetics top 2%
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- Gut microbiota and health 16
- Muscle Physiology and Disorders 15
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- Adipokines, Inflammation, and Metabolic Diseases 10
- Co-authors
- Yulong YinYehui DuanXiangfeng KongYinzhao ZhongBie TanZhaoming YanYulong TangQinghua Chen
- Partner nations
- ChinaUnited StatesIndonesia
In The Last Decade
Fengna Li
119 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Animal Science and Zoology 1.1k
- Physiology 1.6k
- Biochemistry 273
- Cell Biology 732
- Nutrition and Dietetics 558
Countries citing papers authored by Fengna Li
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 3 | |
| 4 | New insights into the role of mitochondrial dynamics in oxidative stress-induced diseasesbreakdown → | 2024 | 83 |
| 5 | 2024 | 7 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 13 | |
| 10 | 2022 | 8 | |
| 11 | 2022 | 19 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 4 | |
| 15 | 2020 | 59 | |
| 16 | 2016 | 27 | |
| 17 | 2016 | 67 | |
| 18 | 2015 | 31 | |
| 19 | 2015 | 25 | |
| 20 | 2015 | 55 |
About Fengna Li
Fengna Li is a scholar working on Animal Science and Zoology, Physiology, Cell Biology, Rehabilitation and Molecular Biology, 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 Indonesia. 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.