Jingda Li

923 total citations · 1 hit paper
27 papers, 688 citations indexed

About

Jingda Li is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Jingda Li has authored 27 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Surgery. Recurrent topics in Jingda Li's work include Liver Disease Diagnosis and Treatment (5 papers), Cancer, Lipids, and Metabolism (5 papers) and Atherosclerosis and Cardiovascular Diseases (4 papers). Jingda Li is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Cancer, Lipids, and Metabolism (5 papers) and Atherosclerosis and Cardiovascular Diseases (4 papers). Jingda Li collaborates with scholars based in China, United States and Japan. Jingda Li's co-authors include Wenlong Sun, Wei‐Long Zheng, Xudong Wang, Panpan Liu, Tianqi Wang, Fuyuan Yang, Zihua Xu, Xiaowen Jiang, Tianqi Wang and Qingchun Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Langmuir and Journal of Agricultural and Food Chemistry.

In The Last Decade

Jingda Li

27 papers receiving 682 citations

Hit Papers

Hesperetin ameliorates hepatic oxidative stress and infla... 2021 2026 2022 2024 2021 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  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
    2021 295 citations Jingda Li, Tianqi Wang et al. Food & Function profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jingda Li China 12 286 222 109 86 80 27 688
Xilan Tang China 13 260 0.9× 167 0.8× 111 1.0× 96 1.1× 37 0.5× 35 719
Dongyan Gao China 15 368 1.3× 212 1.0× 67 0.6× 115 1.3× 47 0.6× 21 771
Jeon‐Ok Moon South Korea 15 315 1.1× 238 1.1× 84 0.8× 241 2.8× 77 1.0× 25 941
Lei Dong China 16 424 1.5× 216 1.0× 62 0.6× 141 1.6× 98 1.2× 42 1.0k
Laila A. Eissa Egypt 22 399 1.4× 236 1.1× 104 1.0× 214 2.5× 110 1.4× 54 1.1k
Han Lv China 16 369 1.3× 142 0.6× 112 1.0× 101 1.2× 28 0.3× 26 710
Soon Shik Shin South Korea 18 284 1.0× 249 1.1× 72 0.7× 112 1.3× 106 1.3× 44 692

Countries citing papers authored by Jingda Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jingda Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jingda Li. A scholar is included among the top collaborators of Jingda Li 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 Jingda Li. Jingda Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wu, Xinxin, Ling Yan, Jingda Li, & Zhijian Tan. (2025). Deep Eutectic Solvent-Based Ultrasound-Assisted Extraction of Flavonoids from Houttuynia cordata. Foods. 14(4). 558–558. 4 indexed citations
2.
Li, Jingda, et al.. (2025). Regulation of Water Molecule Filling in Carbon Nanochannels via Oxidation. Langmuir. 41(12). 8031–8037. 1 indexed citations
3.
Cai, Tianqi, Xiaoxue Xu, Yuhong Huang, et al.. (2024). Effects of plant natural products on metabolic-associated fatty liver disease and the underlying mechanisms: a narrative review with a focus on the modulation of the gut microbiota. Frontiers in Cellular and Infection Microbiology. 14. 1323261–1323261. 10 indexed citations
4.
Li, Jingda, et al.. (2024). Quantitative Proteomics Reveal the Mechanism of MiR-138–5p Suppressing Cervical Cancer via Targeting ZNF385A. Journal of Proteome Research. 23(8). 3659–3673. 1 indexed citations
5.
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Xu, Hongxia, et al.. (2024). Deciphering the potential therapeutic targets and mechanisms of jaranol for the treatment of COVID-19 and lung adenocarcinoma. Arabian Journal of Chemistry. 17(3). 105648–105648. 1 indexed citations
7.
Huang, Yuhong, et al.. (2023). Oroxin B improves metabolic-associated fatty liver disease by alleviating gut microbiota dysbiosis in a high-fat diet-induced rat model. European Journal of Pharmacology. 951. 175788–175788. 12 indexed citations
8.
Huang, Yuhong, Tianxing Li, Tianqi Cai, et al.. (2023). The impact of microbially modified metabolites associated with obesity and bariatric surgery on antitumor immunity. Frontiers in Immunology. 14. 1156471–1156471. 6 indexed citations
9.
Huang, Yuhong, Jingda Li, Chao Wang, et al.. (2022). Naringenin Ameliorates Hyperuricemia by Regulating Renal Uric Acid Excretion via the PI3K/AKT Signaling Pathway and Renal Inflammation through the NF-κB Signaling Pathway. Journal of Agricultural and Food Chemistry. 71(3). 1434–1446. 41 indexed citations
10.
Li, Jingda, et al.. (2022). The effect of narcotics on ferroptosis-related molecular mechanisms and signalling pathways. Frontiers in Pharmacology. 13. 1020447–1020447. 5 indexed citations
11.
Liu, Lulu, Jingda Li, Liangliang Zhang, et al.. (2022). Conformational changes of tyrosinase caused by pentagalloylglucose binding: Implications for inhibitory effect and underlying mechanism. Food Research International. 157. 111312–111312. 12 indexed citations
12.
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14.
Li, Jingda, Tianqi Wang, Panpan Liu, et al.. (2021). 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. Food & Function. 12(9). 3898–3918. 295 indexed citations breakdown →
15.
Jiang, Xiaowen, Hongyuan Lu, Jingda Li, et al.. (2020). A natural BACE1 and GSK3β dual inhibitor Notopterol effectively ameliorates the cognitive deficits in APP/PS1 Alzheimer's mice by attenuating amyloid‐β and tau pathology. SHILAP Revista de lepidopterología. 10(3). e50–e50. 22 indexed citations
16.
17.
Zheng, Wei‐Long, Jingda Li, Xudong Wang, et al.. (2017). Effects of Antarctic krill docosahexaenoic acid on MCF-7 cell migration and invasion induced by the interaction of CD95 with caveolin-1. Life Sciences. 192. 270–277. 14 indexed citations
18.
Li, Jingda, Zhilong Xiu, Renjun Wang, et al.. (2017). The lipid moiety 7-ketocholesteryl-9-carboxynonanoate mediates binding interaction of oxLDL to LOX-1 and upregulates ABCA1 expression through PPARγ. Life Sciences. 177. 27–40. 8 indexed citations
19.
Li, Jingda, Shuqian Liu, Renjun Wang, et al.. (2014). Recombinant Domain V of β2-Glycoprotein I Inhibits the Formation of Atherogenic oxLDL/β2-Glycoprotein I Complexes. Journal of Clinical Immunology. 34(6). 669–676. 11 indexed citations
20.
Li, Wenzhe, Dan Wang, Renjun Wang, et al.. (2012). 7-Ketocholesteryl-9-carboxynonanoate enhances the expression of ATP-binding cassette transporter A1 via CD36. Atherosclerosis. 226(1). 102–109. 7 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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