Shaobo Shi

7.0k total citations · 1 hit paper
60 papers, 4.5k citations indexed

About

Shaobo Shi is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Shaobo Shi has authored 60 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cardiology and Cardiovascular Medicine, 16 papers in Molecular Biology and 8 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Shaobo Shi's work include Cardiac electrophysiology and arrhythmias (16 papers), Pharmacological Receptor Mechanisms and Effects (8 papers) and Heart Rate Variability and Autonomic Control (8 papers). Shaobo Shi is often cited by papers focused on Cardiac electrophysiology and arrhythmias (16 papers), Pharmacological Receptor Mechanisms and Effects (8 papers) and Heart Rate Variability and Autonomic Control (8 papers). Shaobo Shi collaborates with scholars based in China, United States and Sweden. Shaobo Shi's co-authors include Fan Yang, Tao Liu, Jinjun Liang, Congxin Huang, Yuli Cai, He Huang, Mu Qin, Bo Shen, Xu Liu and Bo Yang and has published in prestigious journals such as Angewandte Chemie International Edition, Nano Letters and ACS Nano.

In The Last Decade

Shaobo Shi

58 papers receiving 4.4k citations

Hit Papers

Association of Cardiac Injury With Mortality in Hospitali... 2020 2026 2022 2024 2020 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaobo Shi China 21 2.8k 1.7k 1.2k 826 450 60 4.5k
Yi‐Tong Ma China 23 1.5k 0.5× 854 0.5× 1.1k 0.9× 547 0.7× 330 0.7× 98 3.6k
Congxin Huang China 29 2.6k 0.9× 1.6k 1.0× 2.4k 1.9× 793 1.0× 1.1k 2.3× 193 6.2k
Huiguo Liu China 23 2.0k 0.7× 1.2k 0.7× 176 0.1× 625 0.8× 473 1.1× 102 3.6k
Marco Zuin Italy 22 575 0.2× 381 0.2× 732 0.6× 241 0.3× 101 0.2× 249 2.2k
Vincenzo Russo Italy 31 518 0.2× 641 0.4× 2.5k 2.0× 189 0.2× 423 0.9× 315 4.0k
Rajeev Malhotra United States 39 443 0.2× 331 0.2× 2.4k 2.0× 388 0.5× 926 2.1× 163 5.9k
Αναστάσιος Κόλλιας Greece 35 505 0.2× 249 0.1× 2.3k 1.8× 353 0.4× 406 0.9× 184 4.6k
Shruti Gupta United States 21 926 0.3× 451 0.3× 118 0.1× 520 0.6× 135 0.3× 96 2.2k
Alessandro Giuseppe Fois Italy 31 647 0.2× 544 0.3× 115 0.1× 554 0.7× 430 1.0× 135 3.5k

Countries citing papers authored by Shaobo Shi

Since Specialization
Citations

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

Fields of papers citing papers by Shaobo Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaobo Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Shaobo Shi. A scholar is included among the top collaborators of Shaobo Shi 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 Shaobo Shi. Shaobo Shi 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.
Shi, Shaobo, et al.. (2025). A supply–demand optimization strategy for integrated energy system considering integrated demand response and electricity–heat–hydrogen hybrid energy storage. Sustainable Energy Grids and Networks. 42. 101658–101658. 6 indexed citations
2.
Shi, Shaobo, Yuehui Ji, Junjie Liu, et al.. (2025). Interactive optimization of electric vehicles and park integrated energy system driven by low carbon: An incentive mechanism based on Stackelberg game. Energy. 318. 134799–134799. 2 indexed citations
3.
Cao, Qiqi, Lu Jia, Min Chen, et al.. (2025). Machine-learning model for predicting left atrial thrombus in patients with paroxysmal atrial fibrillation. BMC Cardiovascular Disorders. 25(1). 429–429.
4.
Shi, Shaobo, Qiang Gao, Yuehui Ji, Junjie Liu, & Hao Chen. (2024). Operation strategy for community integrated energy system considering source–load characteristics based on Stackelberg game. Applied Thermal Engineering. 254. 123739–123739. 12 indexed citations
5.
Li, Zhuwei, Huijie Cheng, Yurou Song, et al.. (2024). Atomically Dispersed Iron Active Sites on Covalent Organic Frameworks for Artificial Photosynthesis of Hydrogen Peroxide. Advanced Energy Materials. 14(7). 46 indexed citations
7.
Liu, Tao, Shaobo Shi, Roddy Hiram, et al.. (2022). Dapagliflozin reduces the vulnerability of rats with pulmonary arterial hypertension-induced right heart failure to ventricular arrhythmia by restoring calcium handling. Cardiovascular Diabetology. 21(1). 197–197. 36 indexed citations
8.
Chen, Xiaoli, Weiguo Wan, Qian Ran, et al.. (2022). Pinocembrin mediates antiarrhythmic effects in rats with isoproterenol-induced cardiac remodeling. European Journal of Pharmacology. 920. 174799–174799. 21 indexed citations
9.
Ran, Qian, Xiaoli Chen, Cui Zhang, et al.. (2022). Pinocembrin Decreases Atrial Fibrillation Susceptibility in a Rodent Model of Depression. Frontiers in Cardiovascular Medicine. 9. 766477–766477. 6 indexed citations
10.
Shi, Shaobo, Xin Liu, Tianxin Ye, et al.. (2021). Retrospective cohort study of new-onset atrial fibrillation in acute pulmonary embolism on prognosis. BMJ Open. 11(9). e047658–e047658. 9 indexed citations
11.
Wan, Weiguo, Tianxin Ye, Xiaoli Chen, et al.. (2021). Pinocembrin alleviates lipopolysaccharide-induced myocardial injury and cardiac dysfunction in rats by inhibiting p38/JNK MAPK pathway. Life Sciences. 277. 119418–119418. 28 indexed citations
12.
Ye, Tianxin, Cui Zhang, Gang Wu, et al.. (2020). Pinocembrin Decreases Ventricular Fibrillation Susceptibility in a Rat Model of Depression. Frontiers in Pharmacology. 11. 547966–547966. 20 indexed citations
13.
Zhang, Cui, Yan Guo, Xin Liu, et al.. (2020). Chronic stimulation of the sigma-1 receptor ameliorates ventricular ionic and structural remodeling in a rodent model of depression. Life Sciences. 257. 118047–118047. 13 indexed citations
14.
Zhou, Zhijun, et al.. (2019). Seismic Response of Aeolian Sand High Embankment Slopes in Shaking Table Tests. Applied Sciences. 9(8). 1677–1677. 19 indexed citations
15.
Liu, Xin, Chuan Qu, Shaobo Shi, et al.. (2019). The Reversal Effect of Sigma-1 Receptor (S1R) Agonist, SA4503, on Atrial Fibrillation After Depression and Its Underlying Mechanism. Frontiers in Physiology. 10. 1346–1346. 16 indexed citations
16.
Yang, Bo, et al.. (2018). Sigma-1 Receptor Stimulation with PRE-084 Ameliorates Myocardial Ischemia-Reperfusion Injury in Rats. Chinese Medical Journal. 131(5). 539–543. 19 indexed citations
17.
18.
Cao, Feng, et al.. (2017). Effects of diacetyl-liensinine on electrophysiology in rabbit ventricular myocytes. BMC Pharmacology and Toxicology. 18(1). 33–33. 7 indexed citations
19.
Shi, Shaobo, Tao Liu, Dandan Wang, et al.. (2016). Activation ofN-methyl-d-aspartate receptors reduces heart rate variability and facilitates atrial fibrillation in rats. EP Europace. 19(7). euw086–euw086. 28 indexed citations
20.
Liang, Jinjun, Shaobo Shi, Fang Wang, et al.. (2015). Effect and mechanism of fluoxetine on electrophysiology in vivo in a rat model of postmyocardial infarction depression. Drug Design Development and Therapy. 9. 763–763. 17 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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