Haisong Lu

475 total citations
13 papers, 213 citations indexed

About

Haisong Lu is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Haisong Lu has authored 13 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 7 papers in Cardiology and Cardiovascular Medicine and 3 papers in Surgery. Recurrent topics in Haisong Lu's work include Aortic Disease and Treatment Approaches (7 papers), Aortic aneurysm repair treatments (5 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). Haisong Lu is often cited by papers focused on Aortic Disease and Treatment Approaches (7 papers), Aortic aneurysm repair treatments (5 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). Haisong Lu collaborates with scholars based in China, United States and United Kingdom. Haisong Lu's co-authors include Bi Huang, Zhenhua Zhao, Rutai Hui, Xiaohan Fan, Yanmin Yang, Junsong Gong, Yu Chen, Weili Zhang, Fuxia Yan and Zujun Chen and has published in prestigious journals such as The FASEB Journal, The American Journal of Cardiology and Cardiovascular Research.

In The Last Decade

Haisong Lu

12 papers receiving 209 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haisong Lu China 9 141 82 45 39 36 13 213
Kristjan Ukegjini Switzerland 10 142 1.0× 44 0.5× 45 1.0× 234 6.0× 9 0.3× 24 351
Xuemei Geng China 8 50 0.4× 20 0.2× 73 1.6× 31 0.8× 66 1.8× 16 221
Charlotte Ives United Kingdom 6 62 0.4× 30 0.4× 7 0.2× 98 2.5× 11 0.3× 15 150
Delphine Baudouy France 10 169 1.2× 203 2.5× 80 1.8× 30 0.8× 27 0.8× 28 325
Carolin Helten Germany 9 13 0.1× 112 1.4× 29 0.6× 47 1.2× 8 0.2× 28 195
Kwabena Mensah United Kingdom 7 29 0.2× 79 1.0× 34 0.8× 80 2.1× 8 0.2× 13 205
Bernie Bourke Australia 9 252 1.8× 176 2.1× 11 0.2× 159 4.1× 10 0.3× 20 327
Velayoudam Devagourou India 8 41 0.3× 127 1.5× 34 0.8× 63 1.6× 2 0.1× 40 200
Aiyu Tang United Kingdom 3 138 1.0× 56 0.7× 10 0.2× 58 1.5× 8 0.2× 3 210
Leyre Martín-Rodriguez Spain 5 17 0.1× 16 0.2× 17 0.4× 26 0.7× 11 0.3× 13 221

Countries citing papers authored by Haisong Lu

Since Specialization
Citations

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

Fields of papers citing papers by Haisong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haisong Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Haisong Lu. A scholar is included among the top collaborators of Haisong Lu 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 Haisong Lu. Haisong Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
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Gong, Junsong, Zujun Chen, Yu Chen, et al.. (2019). Long non-coding RNA CASC2 suppresses pulmonary artery smooth muscle cell proliferation and phenotypic switch in hypoxia-induced pulmonary hypertension. Respiratory Research. 20(1). 53–53. 54 indexed citations
4.
Lu, Haisong, Weiming Bu, Wenjie Liu, et al.. (2019). Fropofol prevents disease progression in mice with hypertrophic cardiomyopathy. Cardiovascular Research. 116(6). 1175–1185. 14 indexed citations
5.
Huang, Bi, Haisong Lu, Zhenhua Zhao, et al.. (2019). Influence of Age on Clinical Presentation, Therapeutic Options, and Outcome in Chinese Patients with Acute Aortic Dissection. International Heart Journal. 60(6). 1373–1380. 11 indexed citations
6.
Schmidt, William M., Haisong Lu, Wenjie Liu, et al.. (2018). Fropofol decreases force development in cardiac muscle. The FASEB Journal. 32(8). 4203–4213. 7 indexed citations
7.
Huang, Bi, Yanmin Yang, Rutai Hui, et al.. (2017). Onset seasons and clinical outcomes in patients with Stanford type A acute aortic dissection: an observational retrospective study. BMJ Open. 7(2). e012940–e012940. 10 indexed citations
8.
Huang, Bi, Haisong Lu, Zhenhua Zhao, et al.. (2017). The effect of admission serum potassium levels on in-hospital and long-term mortality in type A acute aortic dissection. Clinical Biochemistry. 50(15). 843–850. 10 indexed citations
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Huang, Bi, Xiaohan Fan, Haisong Lu, et al.. (2016). [Clinical characteristics and outcomes of patients with acute aortic dissection: impact of hypertension].. PubMed. 44(3). 220–5. 7 indexed citations
11.
Huang, Bi, Yanmin Yang, Haisong Lu, et al.. (2015). Impact of d-Dimer Levels on Admission on Inhospital and Long-Term Outcome in Patients With Type A Acute Aortic Dissection. The American Journal of Cardiology. 115(11). 1595–1600. 29 indexed citations
12.
Fan, Xiaohan, Bi Huang, Haisong Lu, et al.. (2015). Impact of Admission White Blood Cell Count on Short- and Long-term Mortality in Patients With Type A Acute Aortic Dissection. Medicine. 94(42). e1761–e1761. 33 indexed citations
13.
Xu, Jiaying, Guyan Wang, Jia Shi, et al.. (2014). Comparison of Two Tranexamic Acid Dose Regimens in Patients Undergoing Cardiac Valve Surgery. Journal of Cardiothoracic and Vascular Anesthesia. 28(5). 1233–1237. 20 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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