Jingda Li
Impact in
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
- Pharmacology top 10%
- Flavonoids in Medical Research
- Drug-Induced Hepatotoxicity and Protection
Papers in
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- Gut microbiota and health 3
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- Liver Disease Diagnosis and Treatment 5
- Co-authors
- Wenlong Sun (10 shared papers)Wei‐Long Zheng (5 shared papers)Xudong Wang (4 shared papers)Panpan Liu (3 shared papers)Tianqi Wang (3 shared papers)Fuyuan Yang (2 shared papers)Zihua Xu (2 shared papers)Xiaowen Jiang (2 shared papers)
- Journals
- Journal of Agricultural and Food Chemistry (2 papers)Journal of Functional Foods (2 papers)Food & Function (2 papers)Life Sciences (2 papers)Frontiers in Pharmacology (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Jingda Li
27 papers receiving 735 citations
Jingda Li's Hit Papers
Peers
Comparison fields: 5 of 87
- Biochemistry 66
- Pharmacology 65
- Epidemiology 205
- Endocrinology, Diabetes and Metabolism 92
- Nephrology 34
Countries citing papers authored by Jingda Li
This map shows the geographic impact of Jingda 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 Jingda Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingda Li more than expected).
Fields of papers citing papers by Jingda Li
This network shows the impact of papers produced by Jingda 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 Jingda Li. The network helps show where Jingda Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingda 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
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hesperetin ameliorates hepatic oxidative stress and inflammationviathe PI3K/AKT-Nrf2-ARE pathway in oleic acid-induced HepG2 cells and a rat model of high-fat diet-induced NAFLD Hit paper breakdown → | 2021 | 318 |
| 2 | 2020 | 105 | |
| 3 | 2019 | 57 | |
| 4 | 2022 | 45 | |
| 5 | 2021 | 27 | |
| 6 | 2020 | 27 | |
| 7 | 2021 | 22 | |
| 8 | 2017 | 16 | |
| 9 | 2017 | 15 | |
| 10 | 2022 | 14 | |
| 11 | 2023 | 13 | |
| 12 | 2024 | 12 | |
| 13 | 2014 | 11 | |
| 14 | 2022 | 9 | |
| 15 | 2017 | 8 | |
| 16 | 2024 | 6 | |
| 17 | 2012 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2023 | 5 |
About Jingda Li
Jingda Li is a scholar working on Molecular Biology, Epidemiology, Immunology, Cancer Research and Surgery, having authored 27 papers that have together received 741 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Cancer, Lipids, and Metabolism (4 papers), Gut microbiota and health (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Phytochemicals and Antioxidant Activities (2 papers), Membrane Separation Technologies (2 papers), Photonic and Optical Devices (2 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Biochemistry (66 citations), Pharmacology (65 citations), Epidemiology (205 citations), Endocrinology, Diabetes and Metabolism (92 citations) and Nephrology (34 citations). Jingda Li has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Wenlong Sun, Wei‐Long Zheng, Xudong Wang, Panpan Liu, Tianqi Wang, Fuyuan Yang, Zihua Xu, Xiaowen Jiang, Qingchun Zhao and Wenwu Liu. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Journal of Functional Foods, Food & Function, Life Sciences and Frontiers in Pharmacology.
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.