Lin Che

1.7k total citations · 1 hit paper
42 papers, 1.3k citations indexed

About

Lin Che is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Lin Che has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 9 papers in Molecular Biology and 9 papers in Cancer Research. Recurrent topics in Lin Che's work include MicroRNA in disease regulation (6 papers), Cardiovascular and exercise physiology (6 papers) and Cardiovascular Function and Risk Factors (5 papers). Lin Che is often cited by papers focused on MicroRNA in disease regulation (6 papers), Cardiovascular and exercise physiology (6 papers) and Cardiovascular Function and Risk Factors (5 papers). Lin Che collaborates with scholars based in China, United States and Taiwan. Lin Che's co-authors include Junjie Xiao, Jiahong Xu, Yihua Bei, Anthony Rosenzweig, Tianzhao Xu, Federico Damilano, Saumya Das, Han Zhu, Vassilios J. Bezzerides and Xin Wei and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cell Metabolism.

In The Last Decade

Lin Che

41 papers receiving 1.3k citations

Hit Papers

miR-222 Is Necessary for Exercise-Induced Cardiac Growth ... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin Che China 15 773 477 454 149 130 42 1.3k
Tiago Lazzaretti Fernandes Brazil 19 346 0.4× 254 0.5× 181 0.4× 335 2.2× 212 1.6× 66 1.4k
Shuguang Liu China 20 795 1.0× 281 0.6× 271 0.6× 228 1.5× 30 0.2× 90 1.5k
Jiawei Shi China 24 411 0.5× 514 1.1× 162 0.4× 291 2.0× 35 0.3× 100 1.6k
Chenguang Niu China 22 480 0.6× 143 0.3× 168 0.4× 155 1.0× 82 0.6× 49 1.1k
Jackelyn Valle United States 14 857 1.1× 437 0.9× 359 0.8× 387 2.6× 112 0.9× 20 1.3k
Dongze Qin China 9 907 1.2× 189 0.4× 484 1.1× 126 0.8× 35 0.3× 13 1.1k
Xiang Wei China 16 378 0.5× 160 0.3× 130 0.3× 151 1.0× 43 0.3× 72 1.0k
Xiaobin Guo China 22 518 0.7× 81 0.2× 203 0.4× 270 1.8× 119 0.9× 50 1.2k
Yun Xie China 17 501 0.6× 79 0.2× 262 0.6× 146 1.0× 34 0.3× 74 1.0k
Kuo Shen China 16 689 0.9× 60 0.1× 242 0.5× 107 0.7× 93 0.7× 39 1.3k

Countries citing papers authored by Lin Che

Since Specialization
Citations

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

Fields of papers citing papers by Lin Che

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Che

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Che. A scholar is included among the top collaborators of Lin Che 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 Che. Lin Che 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.
Su, Tung‐Hung, Sheng‐Shun Yang, Mei–Hsuan Lee, et al.. (2025). High Steatosis-Associated Fibrosis Estimator scores predict hepatocellular carcinoma in viral and non-viral hepatitis and metabolic dysfunction-associated steatotic liver disease. Clinical and Molecular Hepatology. 31(3). 796–809. 1 indexed citations
5.
Wu, Jinxia, Jing Chen, Rong Huang, et al.. (2023). Metabolic characteristics and pathogenesis of precocious puberty in girls: the role of perfluorinated compounds. BMC Medicine. 21(1). 323–323. 4 indexed citations
6.
Li, Runze, Bin Zhou, Lin Che, et al.. (2022). Madelung’s Disease: Analysis of Clinical Characteristics, Fatty Mass Distribution, Comorbidities and Treatment of 54 Patients in China. Diabetes Metabolic Syndrome and Obesity. Volume 15. 2365–2375. 9 indexed citations
7.
Huang, Jing‐Yang, et al.. (2022). Suicide risk after head and neck cancer diagnosis in Taiwan: A retrospective cohort study. Journal of Affective Disorders. 320. 610–615. 14 indexed citations
8.
Bei, Yihua, Lei Wang, Rongjing Ding, et al.. (2021). Animal exercise studies in cardiovascular research: Current knowledge and optimal design—A position paper of the Committee on Cardiac Rehabilitation, Chinese Medical Doctors’ Association. Journal of sport and health science. 10(6). 660–674. 34 indexed citations
9.
Che, Lin, et al.. (2021). Feasible and Adaptive Multimodal Trajectory Prediction with Semantic Maneuver Fusion. 8530–8536. 5 indexed citations
10.
Qian, Jun, Lijun Kuang, Fei Chen, Xuebo Liu, & Lin Che. (2021). Prognosis and management of new‐onset atrial fibrillation in critically ill patients. BMC Cardiovascular Disorders. 21(1). 231–231. 12 indexed citations
11.
Qian, Jun, Lijun Kuang, Lin Che, Fei Chen, & Xuebo Liu. (2020). Maximum blood glucose levels during hospitalisation to predict mortality in patients with acute coronary syndrome: a retrospective cohort study. BMJ Open. 10(12). e042316–e042316. 5 indexed citations
12.
Che, Lin, Shi Bai, Tao Du, et al.. (2019). Polo-like kinase 3 is associated with poor prognosis and regulates proliferation and metastasis in prostate cancer. SHILAP Revista de lepidopterología. 2 indexed citations
13.
Li, Yongqin, Meng-Chao Yao, Qiulian Zhou, et al.. (2018). Dynamic Regulation of Circulating microRNAs During Acute Exercise and Long-Term Exercise Training in Basketball Athletes. Frontiers in Physiology. 9. 282–282. 45 indexed citations
14.
Yan, Wenwen, Yanli Song, Lin Zhou, et al.. (2017). Immune Cell Repertoire and Their Mediators in Patients with Acute Myocardial Infarction or Stable Angina Pectoris. International Journal of Medical Sciences. 14(2). 181–190. 17 indexed citations
15.
Shi, Jing, Yihua Bei, Xiangqing Kong, et al.. (2017). miR-17-3p Contributes to Exercise-Induced Cardiac Growth and Protects against Myocardial Ischemia-Reperfusion Injury. Theranostics. 7(3). 664–676. 181 indexed citations
16.
Yu, Pujiao, Hongbao Wang, Yuan Xie, et al.. (2016). Deregulated Cardiac Specific MicroRNAs in Postnatal Heart Growth. BioMed Research International. 2016. 1–6. 4 indexed citations
17.
Shen, Yuqin, Haoming Song, Wenlin Ma, et al.. (2016). The Prognostic Value of Peak Cardiac Power Output in Chinese Patients with Chronic Heart Failure. PLoS ONE. 11(1). e0147423–e0147423. 3 indexed citations
18.
Che, Lin, et al.. (2016). Hypomethylation of Interleukin-6 Promoter is Associated with the Risk of Coronary Heart Disease. Arquivos Brasileiros de Cardiologia. 107(2). 131–6. 35 indexed citations
19.
Shen, Yuqin, Xiaoyu Zhang, Wenlin Ma, et al.. (2015). VE/VCO2 slope and its prognostic value in patients with chronic heart failure. Experimental and Therapeutic Medicine. 9(4). 1407–1412. 32 indexed citations
20.
Liu, Xiaojun, Junjie Xiao, Han Zhu, et al.. (2015). miR-222 Is Necessary for Exercise-Induced Cardiac Growth and Protects against Pathological Cardiac Remodeling. Cell Metabolism. 21(4). 584–595. 312 indexed citations breakdown →

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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