Lin Ding

2.8k total citations · 1 hit paper
63 papers, 2.0k citations indexed

About

Lin Ding is a scholar working on Epidemiology, Surgery and Physiology. According to data from OpenAlex, Lin Ding has authored 63 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 15 papers in Surgery and 12 papers in Physiology. Recurrent topics in Lin Ding's work include Liver Disease Diagnosis and Treatment (12 papers), Cholesterol and Lipid Metabolism (10 papers) and Fatty Acid Research and Health (10 papers). Lin Ding is often cited by papers focused on Liver Disease Diagnosis and Treatment (12 papers), Cholesterol and Lipid Metabolism (10 papers) and Fatty Acid Research and Health (10 papers). Lin Ding collaborates with scholars based in China, United States and Japan. Lin Ding's co-authors include Changhu Xue, Hangyong He, Yuming Wang, Lingyu Zhang, Li Wang, Teruyoshi Yanagita, Tiantian Zhang, Yufang Bi, Tiantian Zhang and Waseem Hassan and has published in prestigious journals such as The Lancet, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

Lin Ding

61 papers receiving 2.0k citations

Hit Papers

Efficacy and safety of early prone positioning combined w... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin Ding China 26 538 528 406 296 285 63 2.0k
Chia‐Chao Wu Taiwan 33 369 0.7× 806 1.5× 386 1.0× 308 1.0× 330 1.2× 154 3.3k
Vincenzo Ostilio Palmieri Italy 28 857 1.6× 406 0.8× 334 0.8× 342 1.2× 369 1.3× 82 2.4k
Yujian Liu China 30 285 0.5× 847 1.6× 377 0.9× 211 0.7× 634 2.2× 111 2.9k
Dildar Konukoğlu Türkiye 25 275 0.5× 466 0.9× 505 1.2× 317 1.1× 210 0.7× 132 2.4k
Vittoria Cammisotto Italy 23 600 1.1× 676 1.3× 544 1.3× 229 0.8× 124 0.4× 92 2.4k
Seok Joon Shin South Korea 28 335 0.6× 738 1.4× 429 1.1× 389 1.3× 262 0.9× 89 2.6k
Ivan Tancevski Austria 25 205 0.4× 434 0.8× 169 0.4× 324 1.1× 230 0.8× 81 1.9k
Yuhua Zhang China 24 206 0.4× 543 1.0× 217 0.5× 242 0.8× 267 0.9× 83 1.9k
Won Yong Cho South Korea 27 292 0.5× 639 1.2× 175 0.4× 87 0.3× 266 0.9× 90 2.4k
Rosaria Vincenza Giglio Italy 30 544 1.0× 582 1.1× 338 0.8× 701 2.4× 105 0.4× 91 2.5k

Countries citing papers authored by Lin Ding

Since Specialization
Citations

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

Fields of papers citing papers by Lin Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Ding. A scholar is included among the top collaborators of Lin Ding 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 Lin Ding. Lin Ding 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
2.
Qiu, Shulan, Juan Pablo Palavicini, Jianing Wang, et al.. (2021). Adult-onset CNS myelin sulfatide deficiency is sufficient to cause Alzheimer’s disease-like neuroinflammation and cognitive impairment. Molecular Neurodegeneration. 16(1). 64–64. 83 indexed citations
3.
Xu, Miaomiao, Jun Guo, Linlin Zhang, et al.. (2021). Preclinical and clinical study on [18F]DRKXH1: a novel β-amyloid PET tracer for Alzheimer’s disease. European Journal of Nuclear Medicine and Molecular Imaging. 49(2). 652–663. 8 indexed citations
5.
Zhang, Huijuan, Cheng Chen, Lin Ding, et al.. (2020). Sea cucumbers-derived sterol sulfate alleviates insulin resistance and inflammation in high-fat-high-fructose diet-induced obese mice. Pharmacological Research. 160. 105191–105191. 24 indexed citations
6.
Ding, Lin, Yu Xu, Shanshan Liu, Yufang Bi, & Yiping Xu. (2018). Hemoglobin A1c and diagnosis of diabetes. Journal of Diabetes. 10(5). 365–372. 32 indexed citations
7.
Ding, Lin, Ying Guo, Lingyu Zhang, et al.. (2018). Trimethylamine-N-oxide (TMAO)-induced atherosclerosis is associated with bile acid metabolism. Lipids in Health and Disease. 17(1). 286–286. 194 indexed citations
8.
Huang, Xuetao, et al.. (2017). Homocysteine in retinal artery occlusive disease: A meta-analysis of cohort studies. Scientific Reports. 7(1). 15708–15708. 13 indexed citations
9.
Ding, Lin, Yu Xu, Limin Wang, et al.. (2016). Smoking and Its Relation to Metabolic Status among Chinese Adults: Analysis of a Nationwide Survey. PubMed. 29(9). 619–627. 10 indexed citations
10.
Li, Lin, Jieli Lu, Xiaolin Huang, et al.. (2016). Nonalcoholic fatty liver disease is associated with low-grade albuminuria in Chinese adults (change not displayed). QJM. 109(11). 737–743. 10 indexed citations
11.
Lv, Xiaofei, Wanwan Sun, Xiaolin Huang, et al.. (2016). Association of Serum Fetuin-A Levels With the Risk of Albuminuria in Middle-Aged and Elderly Chinese. The Journal of Clinical Endocrinology & Metabolism. 101(3). 1235–1242. 6 indexed citations
12.
Bi, Yufang, Limin Wang, Yu Xu, et al.. (2015). Diabetes-related metabolic risk factors in internal migrant workers in China: a national surveillance study. The Lancet Diabetes & Endocrinology. 4(2). 125–135. 34 indexed citations
13.
Ding, Lin, An Song, Meng Dai, et al.. (2015). Serum lipoprotein (a) concentrations are inversely associated with T2D, prediabetes, and insulin resistance in a middle-aged and elderly Chinese population. Journal of Lipid Research. 56(4). 920–926. 53 indexed citations
14.
Pang, Shuguang, Yu Li, Yong Lu, et al.. (2015). Farnesoid X Receptor Expression Reduced in Obese Rat Model With Insulin Resistance. The American Journal of the Medical Sciences. 350(6). 467–470. 5 indexed citations
15.
Huang, Ya, Xiaolin Huang, Lin Ding, et al.. (2015). Serum Fetuin-A Associated With Fatty Liver Index, Early Indicator of Nonalcoholic Fatty Liver Disease. Medicine. 94(39). e1517–e1517. 16 indexed citations
16.
Hassan, Waseem, et al.. (2014). Reduced Oxidative Stress Contributes to the Lipid Lowering Effects of Isoquercitrin in Free Fatty Acids Induced Hepatocytes. Oxidative Medicine and Cellular Longevity. 2014. 1–18. 53 indexed citations
17.
He, Hangyong, Qian Li, Lin Ding, et al.. (2014). Prognostic value of serum galactomannan index in critically ill patients with chronic obstructive pulmonary disease at risk of invasive pulmonary aspergillosis. Chinese Medical Journal. 127(1). 23–28. 8 indexed citations
18.
Ding, Lin, Junlin Liu, Waseem Hassan, et al.. (2014). Lipid modulatory activities of Cichorium glandulosum Boiss et Huet are mediated by multiple components within hepatocytes. Scientific Reports. 4(1). 4715–4715. 24 indexed citations
19.
Hassan, Waseem, et al.. (2014). Interleukin-6 signal transduction and its role in hepatic lipid metabolic disorders. Cytokine. 66(2). 133–142. 38 indexed citations
20.
Yakubu, F., et al.. (1993). Insulin Action in Rats Is Influenced by Amount and Composition of Dietary Fat. Obesity Research. 1(6). 481–488. 5 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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