Ling Bai

1.6k total citations
57 papers, 751 citations indexed

About

Ling Bai is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ling Bai has authored 57 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cardiology and Cardiovascular Medicine, 15 papers in Molecular Biology and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ling Bai's work include Genetic Associations and Epidemiology (8 papers), Obesity, Physical Activity, Diet (6 papers) and Cardiovascular Disease and Adiposity (5 papers). Ling Bai is often cited by papers focused on Genetic Associations and Epidemiology (8 papers), Obesity, Physical Activity, Diet (6 papers) and Cardiovascular Disease and Adiposity (5 papers). Ling Bai collaborates with scholars based in China, Australia and United States. Ling Bai's co-authors include Jun Lyu, Hairong He, Fan Gao, Chuanyu Hu, Xiancang Ma, Fengjie Gao, Bin Yan, Liyang Guo, Yajuan Fan and Ning Li and has published in prestigious journals such as PLoS ONE, Scientific Reports and The American Journal of Cardiology.

In The Last Decade

Ling Bai

54 papers receiving 743 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Bai China 14 178 157 138 103 98 57 751
Ti Lu Taiwan 18 156 0.9× 184 1.2× 96 0.7× 63 0.6× 75 0.8× 59 1.0k
Yue‐Ting Deng China 16 156 0.9× 152 1.0× 189 1.4× 66 0.6× 53 0.5× 48 692
Alireza Ghajar Iran 20 118 0.7× 100 0.6× 114 0.8× 197 1.9× 127 1.3× 38 1.0k
Shaw-Ji Chen Taiwan 16 197 1.1× 174 1.1× 109 0.8× 71 0.7× 26 0.3× 43 816
Grace Huang United States 20 288 1.6× 99 0.6× 137 1.0× 71 0.7× 67 0.7× 52 1.2k
Pei-an Betty Shih United States 18 221 1.2× 154 1.0× 152 1.1× 71 0.7× 61 0.6× 29 1.0k
Karina Banasik Denmark 15 163 0.9× 57 0.4× 93 0.7× 137 1.3× 56 0.6× 51 730
Allan Jones Denmark 20 132 0.7× 90 0.6× 231 1.7× 131 1.3× 49 0.5× 35 951
Arno W. F. T. Toorians Netherlands 14 159 0.9× 145 0.9× 98 0.7× 83 0.8× 37 0.4× 17 1.0k
Yi‐Fang Chuang Taiwan 20 154 0.9× 225 1.4× 245 1.8× 125 1.2× 127 1.3× 55 1.0k

Countries citing papers authored by Ling Bai

Since Specialization
Citations

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

Fields of papers citing papers by Ling Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Bai. A scholar is included among the top collaborators of Ling Bai 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 Bai. Ling Bai 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.
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Yang, Jian, Bin Yan, Qun Lu, et al.. (2023). Estimating the causal effects of genetically predicted plasma proteome on heart failure. Frontiers in Cardiovascular Medicine. 10. 978918–978918. 2 indexed citations
3.
Bai, Ling, Zuojie Luo, Li Li, et al.. (2023). Association between sleep duration and metabolic syndrome: a population-based study in China. Endokrynologia Polska. 75(1). 51–60. 1 indexed citations
4.
Liu, Ping, et al.. (2022). Cardiogenic shock due to Takotsubo cardiomyopathy associated with thyroid crisis: a case report. European Heart Journal - Case Reports. 6(10). ytac381–ytac381. 1 indexed citations
5.
6.
Bai, Ling, et al.. (2022). Association between body composition and blood pressure in normal-weight Chinese children and adolescents. BMC Pediatrics. 22(1). 240–240. 6 indexed citations
7.
Bai, Ling, et al.. (2022). Association of the triglyceride-glucose index with weight-adjusted appendicular lean mass in Chinese adolescents aged 12–18 years old. Scientific Reports. 12(1). 11160–11160. 6 indexed citations
8.
Cai, Rongrong, et al.. (2022). Hypertriglyceridemic-waist phenotype is strongly associated with cardiovascular risk factor clustering in Chinese adolescents. Scientific Reports. 12(1). 15464–15464. 3 indexed citations
9.
Kang, Yu, Zixuan Yang, Lulu Liu, et al.. (2022). ARNI or ARB Treats Re Sidual Left Ventricular Re modelling After Surgery for Valvular Re gurgitation: ReReRe Study Protocol. ESC Heart Failure. 9(5). 3585–3592. 3 indexed citations
10.
Yan, Bin, et al.. (2021). Sleep fragmentation and incidence of congestive heart failure: the Sleep Heart Health Study. Journal of Clinical Sleep Medicine. 17(8). 1619–1625. 15 indexed citations
11.
Lu, Qun, Ruochen Zhang, Shuping Chen, et al.. (2021). The Diagnostic and Prognostic Value of Plasma Galectin 3 in HFrEF Related to the Etiology of Heart Failure. Frontiers in Cardiovascular Medicine. 8. 748875–748875. 3 indexed citations
12.
Lu, Qun, Ping Liu, Jianhua Huo, et al.. (2020). Cardiac rupture complicating acute myocardial infarction: the clinical features from an observational study and animal experiment. BMC Cardiovascular Disorders. 20(1). 409–409. 11 indexed citations
13.
He, Hairong, Chuanyu Hu, Zhen‐Hu Ren, et al.. (2020). Trends in the incidence and DALYs of bipolar disorder at global, regional, and national levels: Results from the global burden of Disease Study 2017. Journal of Psychiatric Research. 125. 96–105. 75 indexed citations
14.
Jiang, Wei, Qiong Ma, Xiqiang Wang, et al.. (2020). U-shaped association between plasma sphingosine-1-phosphate levels and mortality in patients with chronic systolic heart failure: a prospective cohort study. Lipids in Health and Disease. 19(1). 125–125. 8 indexed citations
15.
Pan, Zhenyu, Jun Zhang, Hairong He, et al.. (2020). <p>The Gap Between Global Tuberculosis Incidence and the First Milestone of the WHO End Tuberculosis Strategy: An Analysis Based on the Global Burden of Disease 2017 Database</p>. Infection and Drug Resistance. Volume 13. 1281–1286. 16 indexed citations
16.
Gao, Fan, et al.. (2019). <p>Higher serum total bilirubin predicts high risk of 3-year adverse outcomes in patients undergoing primary percutaneous coronary intervention</p>. Therapeutics and Clinical Risk Management. Volume 15. 811–821. 4 indexed citations
17.
18.
Li, Tao, Shuping Chen, Dandan Yang, et al.. (2015). Correlations between MTP and ROS Levels of Peripheral Blood Lymphocytes and Readmission in Patients with Chronic Heart Failure. Heart Lung and Circulation. 25(3). 296–302. 13 indexed citations
19.
He, Ying, Wei Xu, Yan Zhou, et al.. (2015). Adiponectin may be a biomarker of early atherosclerosis of smokers and decreased by nicotine through KATP channel in adipocytes. Nutrition. 31(7-8). 955–958. 17 indexed citations
20.
Bai, Xiaojun, Lihong Fan, Ying He, et al.. (2015). Nicotine may affect the secretion of adipokines leptin, resistin, and visfatin through activation of KATP channel. Nutrition. 32(6). 645–648. 8 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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