Lingyan Chen

526 total citations
23 papers, 317 citations indexed

About

Lingyan Chen is a scholar working on Epidemiology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Lingyan Chen has authored 23 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 7 papers in Physiology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Lingyan Chen's work include Liver Disease Diagnosis and Treatment (8 papers), Nutrition and Health in Aging (5 papers) and Dementia and Cognitive Impairment Research (3 papers). Lingyan Chen is often cited by papers focused on Liver Disease Diagnosis and Treatment (8 papers), Nutrition and Health in Aging (5 papers) and Dementia and Cognitive Impairment Research (3 papers). Lingyan Chen collaborates with scholars based in China, Czechia and United Kingdom. Lingyan Chen's co-authors include Xin Gao, Yu Hu, Hui Ma, Mingfeng Xia, Huandong Lin, Qiqige Aleteng, Li Wu, Wanyuan He, Jian Gao and Qian Li and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Hepatology and Journal of Bone and Mineral Research.

In The Last Decade

Lingyan Chen

20 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingyan Chen China 10 136 125 79 61 53 23 317
Baolan Ji China 11 53 0.4× 74 0.6× 84 1.1× 59 1.0× 64 1.2× 27 310
Pavel Trachta Czechia 14 185 1.4× 179 1.4× 95 1.2× 154 2.5× 141 2.7× 27 509
Ki-Won Oh South Korea 11 82 0.6× 101 0.8× 103 1.3× 75 1.2× 56 1.1× 17 306
Baanie Sawhney United States 10 55 0.4× 36 0.3× 173 2.2× 74 1.2× 66 1.2× 22 387
Liying Guan China 10 40 0.3× 106 0.8× 150 1.9× 40 0.7× 31 0.6× 17 263
David Riesco Spain 8 125 0.9× 226 1.8× 54 0.7× 70 1.1× 69 1.3× 22 352
Mingxia Yuan China 11 48 0.4× 75 0.6× 113 1.4× 76 1.2× 67 1.3× 28 356
Carmine Brienza Italy 6 56 0.4× 115 0.9× 88 1.1× 33 0.5× 33 0.6× 8 364
Shouyuan Ma China 8 42 0.3× 43 0.3× 50 0.6× 84 1.4× 65 1.2× 17 253

Countries citing papers authored by Lingyan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lingyan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingyan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Lingyan Chen. A scholar is included among the top collaborators of Lingyan Chen 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 Lingyan Chen. Lingyan Chen 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.
Lin, Huandong, Lingyan Chen, Li Wu, et al.. (2025). Regional Brain Structure Alterations in Diabetes but Not Prediabetes. The Journal of Clinical Endocrinology & Metabolism. 110(12). 3354–3363.
2.
Liu, Jun, Sile Hu, Rui Huang, et al.. (2025). Dissecting metabolic dysfunction- and alcohol-associated liver disease (MetALD) using proteomic and metabolomic profiles. Journal of Hepatology. 83(5). 1035–1045.
3.
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6.
Xie, Guotong, Hailuan Zeng, Lingyan Chen, et al.. (2022). Image enhancement of color fundus photographs for age-related macular degeneration: the Shanghai Changfeng Study. International Journal of Ophthalmology. 15(2). 268–275. 4 indexed citations
7.
Zhu, Xiaopeng, Qingxia Huang, Shuai Ma, et al.. (2022). Presence of sarcopenia identifies a special group of lean NAFLD in middle-aged and older people. Hepatology International. 17(2). 313–325. 22 indexed citations
8.
Wu, Jiayu, Weiying Ren, Lingyan Chen, et al.. (2022). Age-Related Changes in the Composition of Intestinal Microbiota in Elderly Chinese Individuals. Gerontology. 68(9). 976–988. 6 indexed citations
9.
Lin, Huandong, Lingyan Chen, Li Wu, et al.. (2022). Sex disparity of cerebral white matter hyperintensity in the hypertensive elderly: The Shanghai Changfeng study. Human Brain Mapping. 44(5). 2099–2108. 7 indexed citations
10.
Chen, Lingyan, Li Wu, Qian Li, et al.. (2022). Hyperuricemia Associated with Low Skeletal Muscle in the Middle-Aged and Elderly Population in China. Experimental and Clinical Endocrinology & Diabetes. 130(8). 546–553. 9 indexed citations
11.
Zeng, Hailuan, Wenjie Xu, Hui Ma, et al.. (2022). Twelve Loci Associated With Bone Density in Middle-aged and Elderly Chinese: The Shanghai Changfeng Study. The Journal of Clinical Endocrinology & Metabolism. 108(2). 295–305. 5 indexed citations
12.
Chen, Lingyan, Mingfeng Xia, Li Wu, et al.. (2021). Skeletal muscle loss is associated with diabetes in middle-aged and older Chinese men without non-alcoholic fatty liver disease. World Journal of Diabetes. 12(12). 2119–2129. 9 indexed citations
13.
Wang, Liangqi, Huandong Lin, Yifeng Peng, et al.. (2021). Incidental Brain Magnetic Resonance Imaging Findings and the Cognitive and Motor Performance in the Elderly: The Shanghai Changfeng Study. Frontiers in Neuroscience. 15. 631087–631087. 7 indexed citations
14.
Xia, Mingfeng, Lingyan Chen, Li Wu, et al.. (2020). Sarcopenia, sarcopenic overweight/obesity and risk of cardiovascular disease and cardiac arrhythmia: A cross-sectional study. Clinical Nutrition. 40(2). 571–580. 85 indexed citations
15.
Xia, Mingfeng, Shunxing Rong, Xiaopeng Zhu, et al.. (2020). Osteocalcin and Non-Alcoholic Fatty Liver Disease: Lessons From Two Population-Based Cohorts and Animal Models. Journal of Bone and Mineral Research. 36(4). 712–728. 29 indexed citations
16.
Chen, Lingyan, Xiaojuan Su, & Yu Hu. (2020). <p>Berberine Down-Regulated Myostatin Expression and Facilitated Metabolism via Smad Pathway in Insulin Resistant Mice</p>. Diabetes Metabolic Syndrome and Obesity. Volume 13. 4561–4569. 9 indexed citations
17.
Zeng, Hailuan, Wenjie Xu, Hui Ma, et al.. (2020). Type 2 Diabetes Is Causally Associated With Reduced Serum Osteocalcin: A Genomewide Association and Mendelian Randomization Study. Journal of Bone and Mineral Research. 36(9). 1694–1707. 23 indexed citations
18.
Petrezsélyová, Silvia, Jan Dvořák, Peter J. Makovicky, et al.. (2019). Myopia disease mouse models: a missense point mutation (S673G) and a protein-truncating mutation of the Zfp644 mimic human disease phenotype. Cell & Bioscience. 9(1). 21–21. 5 indexed citations
19.
Xia, Mingfeng, Huandong Lin, Lingyan Chen, et al.. (2019). The PNPLA3 rs738409 C>G variant interacts with changes in body weight over time to aggravate liver steatosis, but reduces the risk of incident type 2 diabetes. Diabetologia. 62(4). 644–654. 26 indexed citations
20.
Xia, Mingfeng, Lingyan Chen, Li Wu, et al.. (2018). Association of visceral adiposity and its longitudinal increase with the risk of diabetes in Chinese adults: A prospective cohort study. Diabetes/Metabolism Research and Reviews. 34(7). e3048–e3048. 50 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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