Jingjing Jiao

5.1k total citations
141 papers, 3.8k citations indexed

About

Jingjing Jiao is a scholar working on Nutrition and Dietetics, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Jingjing Jiao has authored 141 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Nutrition and Dietetics, 44 papers in Public Health, Environmental and Occupational Health and 34 papers in Physiology. Recurrent topics in Jingjing Jiao's work include Nutritional Studies and Diet (43 papers), Fatty Acid Research and Health (37 papers) and Potato Plant Research (24 papers). Jingjing Jiao is often cited by papers focused on Nutritional Studies and Diet (43 papers), Fatty Acid Research and Health (37 papers) and Potato Plant Research (24 papers). Jingjing Jiao collaborates with scholars based in China, United States and Sweden. Jingjing Jiao's co-authors include Yu Zhang, Pan Zhuang, Jingnan Chen, Mengmeng Huang, Scott L. Friedman, Costica Aloman, Jun Wang, Fei Wu, Lilin He and Wei He and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Jingjing Jiao

127 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingjing Jiao China 35 805 800 783 732 588 141 3.8k
George Dedoussis Greece 36 609 0.8× 839 1.0× 491 0.6× 860 1.2× 452 0.8× 158 4.1k
Gopabandhu Jena India 37 398 0.5× 1.6k 1.9× 385 0.5× 405 0.6× 351 0.6× 120 4.0k
Jeongseon Kim South Korea 45 955 1.2× 1.4k 1.7× 1.6k 2.0× 946 1.3× 467 0.8× 264 6.2k
Martin J. J. Ronis United States 53 1.2k 1.4× 2.5k 3.1× 403 0.5× 1.1k 1.4× 1.5k 2.6× 226 8.5k
Itziar Abete Spain 36 1.8k 2.2× 700 0.9× 1.1k 1.4× 554 0.8× 965 1.6× 93 3.8k
Eva Kassi Greece 33 587 0.7× 1.1k 1.4× 362 0.5× 386 0.5× 1.1k 1.8× 161 4.6k
Thozhukat Sathyapalan United Kingdom 47 899 1.1× 2.0k 2.6× 876 1.1× 412 0.6× 647 1.1× 380 8.1k
Guillermo T. Sáez Spain 42 1.2k 1.5× 1.5k 1.9× 1.3k 1.6× 1.2k 1.7× 459 0.8× 132 5.9k
Geng Zong China 38 1.1k 1.4× 537 0.7× 1.2k 1.5× 853 1.2× 604 1.0× 106 4.3k
Ying Wan China 33 416 0.5× 999 1.2× 233 0.3× 462 0.6× 486 0.8× 161 3.9k

Countries citing papers authored by Jingjing Jiao

Since Specialization
Citations

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

Fields of papers citing papers by Jingjing Jiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingjing Jiao

This figure shows the co-authorship network connecting the top 25 collaborators of Jingjing Jiao. A scholar is included among the top collaborators of Jingjing Jiao 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 Jingjing Jiao. Jingjing Jiao 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.
Zhang, Yiju, Yiju Zhang, Li Zhu, et al.. (2024). Rewiring cis-2-butene-1,4-dial mediated urinary metabolomics fingerprints of short-term exposure to furan. The Science of The Total Environment. 920. 170946–170946.
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Liu, Xiaohui, Yin Li, Yepeng Hu, et al.. (2024). Fish oil supplementation in relation to the risk of chronic kidney disease among patients with diabetes. Diabetes Obesity and Metabolism. 26(11). 5283–5292. 1 indexed citations
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Wang, Anli, Xuzhi Wan, Pan Zhuang, et al.. (2023). High fried food consumption impacts anxiety and depression due to lipid metabolism disturbance and neuroinflammation. Proceedings of the National Academy of Sciences. 120(18). e2221097120–e2221097120. 67 indexed citations
7.
Wan, Xuzhi, Yiju Zhang, Yiju Zhang, et al.. (2022). Machine learning prediction of exposure to acrylamide based on modelling of association between dietary exposure and internal biomarkers. Food and Chemical Toxicology. 170. 113498–113498. 1 indexed citations
8.
Zhu, Li, Jia Wei, Xuzhi Wan, et al.. (2022). Advancing metabolic networks and mapping updated urinary metabolic fingerprints after exposure to typical carcinogenic heterocyclic aromatic amines. Environmental Pollution. 319. 120936–120936. 7 indexed citations
9.
Zhuang, Pan, Fei Wu, Lei Mao, et al.. (2021). Egg and cholesterol consumption and mortality from cardiovascular and different causes in the United States: A population-based cohort study. PLoS Medicine. 18(2). e1003508–e1003508. 56 indexed citations
10.
Jiao, Jingjing, Xiaoling Song, Ying Wang, et al.. (2021). A Novel Biomarker Panel for the Early Detection and Risk Assessment of Hepatocellular Carcinoma in Patients with Cirrhosis. Cancer Prevention Research. 14(6). 667–674. 15 indexed citations
11.
Jiao, Jingjing, Suet‐Ying Kwan, Lucas Veillon, et al.. (2021). Lipidomic Profiles of Plasma Exosomes Identify Candidate Biomarkers for Early Detection of Hepatocellular Carcinoma in Patients with Cirrhosis. Cancer Prevention Research. 14(10). 955–962. 34 indexed citations
12.
Wu, Fei, Baoquan Wang, Pan Zhuang, et al.. (2021). Association of preserved vegetable consumption and prevalence of colorectal polyps: results from the Lanxi Pre-colorectal Cancer Cohort (LP3C). European Journal of Nutrition. 61(3). 1273–1284. 9 indexed citations
13.
Zhuang, Pan, Jingjing Jiao, Fei Wu, Lei Mao, & Yu Zhang. (2020). Egg and egg-sourced cholesterol consumption in relation to mortality: Findings from population-based nationwide cohort. Clinical Nutrition. 39(11). 3520–3527. 28 indexed citations
14.
Zhuang, Pan, Yu Zhang, Lei Mao, et al.. (2020). The association between consumption of monounsaturated fats from animal-v. plant-based foods and the risk of type 2 diabetes: a prospective nationwide cohort study. British Journal Of Nutrition. 124(1). 102–111. 5 indexed citations
15.
Chen, Xiaoqian, Jingjing Jiao, Pan Zhuang, et al.. (2020). Current intake levels of potatoes and all-cause mortality in China: A population-based nationwide study. Nutrition. 81. 110902–110902. 9 indexed citations
16.
Huang, Mengmeng, Fanghuan Zhu, Jingjing Jiao, Jun Wang, & Yu Zhang. (2018). Exposure to acrylamide disrupts cardiomyocyte interactions during ventricular morphogenesis in zebrafish embryos. The Science of The Total Environment. 656. 1337–1345. 21 indexed citations
17.
Zhuang, Pan, Qiyang Shou, Yanhua Lu, et al.. (2017). Arachidonic acid sex-dependently affects obesity through linking gut microbiota-driven inflammation to hypothalamus-adipose-liver axis. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1863(11). 2715–2726. 77 indexed citations
18.
Jiao, Jingjing, Weibo Niu, Ying Wang, et al.. (2017). Prevalence of Aflatoxin-Associated TP53R249S Mutation in Hepatocellular Carcinoma in Hispanics in South Texas. Cancer Prevention Research. 11(2). 103–112. 19 indexed citations
19.
Zhang, Jing, Jingjing Jiao, Silvia Cermelli, et al.. (2015). miR-21 Inhibition Reduces Liver Fibrosis and Prevents Tumor Development by Inducing Apoptosis of CD24+ Progenitor Cells. Cancer Research. 75(9). 1859–1867. 86 indexed citations
20.

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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