Ling Yang

4.1k total citations · 2 hit papers
75 papers, 2.8k citations indexed

About

Ling Yang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Ling Yang has authored 75 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 15 papers in Cardiology and Cardiovascular Medicine and 9 papers in Genetics. Recurrent topics in Ling Yang's work include Cardiac electrophysiology and arrhythmias (6 papers), Gut microbiota and health (6 papers) and Metabolism, Diabetes, and Cancer (5 papers). Ling Yang is often cited by papers focused on Cardiac electrophysiology and arrhythmias (6 papers), Gut microbiota and health (6 papers) and Metabolism, Diabetes, and Cancer (5 papers). Ling Yang collaborates with scholars based in China, United States and Japan. Ling Yang's co-authors include Chun Yang, Jiahao Duan, Cunming Liu, Yeshun Wu, Kenji Hashimoto, Zijun Chen, Xiaolin Xu, James N. Weiss, Zhilin Qu and Junhai Yang and has published in prestigious journals such as Physical Review Letters, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Ling Yang

71 papers receiving 2.7k citations

Hit Papers

Nervous system involvement after infection with COVID-19 ... 2020 2026 2022 2024 2020 2023 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Yang China 24 1.2k 851 823 373 230 75 2.8k
Di Xiao China 23 556 0.5× 508 0.6× 311 0.4× 197 0.5× 62 0.3× 75 1.9k
Andrea Pilotto Italy 36 1.6k 1.4× 1.3k 1.5× 226 0.3× 191 0.5× 907 3.9× 164 4.9k
Wenbo He China 19 542 0.5× 204 0.2× 645 0.8× 140 0.4× 408 1.8× 49 1.9k
Simona Lattanzi Italy 44 1.4k 1.2× 468 0.5× 246 0.3× 55 0.1× 578 2.5× 225 5.3k
GianPietro Sechi Italy 25 1.5k 1.3× 703 0.8× 451 0.5× 39 0.1× 97 0.4× 102 2.9k
Wojciech Kozubski Poland 32 868 0.7× 929 1.1× 107 0.1× 84 0.2× 249 1.1× 233 3.6k
Hélène Blasco France 41 1.8k 1.5× 1.7k 2.0× 118 0.1× 163 0.4× 53 0.2× 197 5.0k
Konrad Rejdak Poland 26 612 0.5× 554 0.7× 118 0.1× 89 0.2× 67 0.3× 192 2.7k
Eric Lazartigues United States 43 1.0k 0.9× 1.6k 1.9× 1.5k 1.8× 271 0.7× 2.6k 11.4× 134 6.0k
Massimo Pieri Italy 29 710 0.6× 698 0.8× 464 0.6× 25 0.1× 99 0.4× 152 2.7k

Countries citing papers authored by Ling Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ling Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Yang. A scholar is included among the top collaborators of Ling Yang 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 Ling Yang. Ling Yang 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.
Floud, Sarah, Ling Yang, TienYu Owen Yang, et al.. (2025). Prospective associations of diabetes with 15 cancers in 2.2 million UK and Chinese adults. JNCI Journal of the National Cancer Institute. 117(12). 2477–2487.
3.
Wang, Di, Xiangyu Pan, Yu Zhou, et al.. (2023). Lateral septum-lateral hypothalamus circuit dysfunction in comorbid pain and anxiety. Molecular Psychiatry. 28(3). 1090–1100. 62 indexed citations
4.
Yuan, Qiong, Fan Yang, Dan Yan, et al.. (2023). CircRNA DICAR as a novel endogenous regulator for diabetic cardiomyopathy and diabetic pyroptosis of cardiomyocytes. Signal Transduction and Targeted Therapy. 8(1). 99–99. 75 indexed citations breakdown →
5.
Zhang, Xinying, Zifeng Wu, Yuanyuan Wang, et al.. (2023). The role of CD38 in inflammation-induced depression-like behavior and the antidepressant effect of (R)-ketamine. Brain Behavior and Immunity. 115. 64–79. 23 indexed citations
6.
Liu, Wei, Xinying Zhang, Zifeng Wu, et al.. (2022). Brain–heart communication in health and diseases. Brain Research Bulletin. 183. 27–37. 24 indexed citations
7.
Ma, Yuanyuan, Xin Li, M. Xiao, et al.. (2022). Estrogen receptor β deficiency impairs gut microbiota: a possible mechanism of IBD-induced anxiety-like behavior. Microbiome. 10(1). 160–160. 43 indexed citations
8.
Luo, Duosheng, et al.. (2022). Tianhuang formula reduces the oxidative stress response of NAFLD by regulating the gut microbiome in mice. Frontiers in Microbiology. 13. 984019–984019. 22 indexed citations
9.
Jiang, Qi, Dingxin Qin, Ling Yang, et al.. (2021). Causal effects of plasma lipids on the risk of atrial fibrillation: A multivariable mendelian randomization study. Nutrition Metabolism and Cardiovascular Diseases. 31(5). 1569–1578. 21 indexed citations
11.
Yang, Ling, et al.. (2021). Disinformation of text mining online about tobacco and theCOVID-19 discussed on Sina Weibo. Tobacco Induced Diseases. 19(October). 1–3. 1 indexed citations
12.
Yan, Jie, et al.. (2019). On the mechanism of antibiotic resistance and fecal microbiota transplantation. Mathematical Biosciences & Engineering. 16(6). 7057–7084. 3 indexed citations
13.
Xu, Kaiyu, Yi‐Long Huang, Jie Xiao, et al.. (2017). Minocycline-Suppression of Early Peripheral Inflammation Reduces Hypoxia-Induced Neonatal Brain Injury. Frontiers in Neuroscience. 11. 511–511. 10 indexed citations
14.
Gu, Shuping, Chao Liu, Ling Yang, et al.. (2014). BMPRIA Mediated Signaling Is Essential for Temporomandibular Joint Development in Mice. PLoS ONE. 9(8). e101000–e101000. 36 indexed citations
15.
Shi, Jichen, et al.. (2012). Positive feedback induced memory effect in ischemic preconditioning. Journal of Theoretical Biology. 300. 317–323. 6 indexed citations
16.
Yang, Ling, Paavo Kôrge, James N. Weiss, & Zhilin Qu. (2010). Mitochondrial Oscillations and Waves in Cardiac Myocytes: Insights from Computational Models. Biophysical Journal. 98(8). 1428–1438. 35 indexed citations
17.
Yang, Ling, et al.. (2009). Period-Doubling Bifurcation in an Array of Coupled Stochastically Excitable Elements Subjected to Global Periodic Forcing. Physical Review Letters. 103(4). 44102–44102. 27 indexed citations
18.
Yang, Ling, Thomas M. Vondriska, Zhangang Han, et al.. (2008). Deducing topology of protein-protein interaction networks from experimentally measured sub-networks. BMC Bioinformatics. 9(1). 301–301. 3 indexed citations
19.
Claus, Thomas H., Clark Q. Pan, Joanne Buxton, et al.. (2007). Dual-acting peptide with prolonged glucagon-like peptide-1 receptor agonist and glucagon receptor antagonist activity for the treatment of type 2 diabetes. Journal of Endocrinology. 192(2). 371–380. 35 indexed citations
20.
Weiss, James N., Ling Yang, & Zhilin Qu. (2006). Thematic review series: Systems Biology Approaches to Metabolic and Cardiovascular Disorders. Network perspectives of cardiovascular metabolism. Journal of Lipid Research. 47(11). 2355–2366. 57 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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