Genshan Ma

1.7k total citations
73 papers, 1.3k citations indexed

About

Genshan Ma is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Genshan Ma has authored 73 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 22 papers in Surgery and 20 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Genshan Ma's work include Coronary Interventions and Diagnostics (13 papers), Cardiac Imaging and Diagnostics (11 papers) and MicroRNA in disease regulation (8 papers). Genshan Ma is often cited by papers focused on Coronary Interventions and Diagnostics (13 papers), Cardiac Imaging and Diagnostics (11 papers) and MicroRNA in disease regulation (8 papers). Genshan Ma collaborates with scholars based in China, United States and Germany. Genshan Ma's co-authors include Yuyu Yao, Lijuan Chen, Zhongpu Chen, Chengxing Shen, Yaoliang Tang, Neal L. Weintraub, Lan Zhang, Gangjian Qin, Yingjie Wang and Yaohua Pan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Genshan Ma

68 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Genshan Ma China 19 682 325 309 298 136 73 1.3k
Jasper Koerts Netherlands 17 826 1.2× 225 0.7× 284 0.9× 317 1.1× 204 1.5× 28 1.6k
April Stempien‐Otero United States 19 525 0.8× 358 1.1× 244 0.8× 346 1.2× 109 0.8× 36 1.2k
Moeen Abedin United States 13 499 0.7× 376 1.2× 136 0.4× 391 1.3× 282 2.1× 25 1.5k
Jonghoe Byun South Korea 18 819 1.2× 161 0.5× 143 0.5× 260 0.9× 207 1.5× 30 1.3k
Francesco Siclari Switzerland 13 542 0.8× 410 1.3× 296 1.0× 490 1.6× 179 1.3× 39 1.1k
Regina Fritsche‐Danielson Sweden 16 561 0.8× 223 0.7× 173 0.6× 260 0.9× 48 0.4× 25 1.1k
Katja Technau‐Ihling Germany 13 699 1.0× 197 0.6× 213 0.7× 374 1.3× 169 1.2× 17 1.5k
Orazio Fortunato Italy 24 1.1k 1.6× 136 0.4× 741 2.4× 251 0.8× 146 1.1× 46 1.7k
Koung Li Kim South Korea 22 771 1.1× 149 0.5× 148 0.5× 281 0.9× 188 1.4× 36 1.3k
Mary Jo Mulligan‐Kehoe United States 18 616 0.9× 195 0.6× 188 0.6× 237 0.8× 227 1.7× 26 1.5k

Countries citing papers authored by Genshan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Genshan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Genshan Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Genshan Ma. A scholar is included among the top collaborators of Genshan Ma 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 Genshan Ma. Genshan Ma 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.
Chen, Hui, Jianfeng Xie, Dan Huang, et al.. (2023). Prognostic Value of Neutrophil-to-Lymphocyte Ratio and Vaccination for Negative Conversion Time of Nucleic Acid in Nonsevere COVID-19 Patients Infected by SARS-CoV-2 Omicron Variant. International Journal of Clinical Practice. 2023. 1–8. 2 indexed citations
2.
Zhang, Rui, Zhenjun Ji, Yangyang Qu, et al.. (2023). Upregulation of Biomarker Limd1 Was Correlated with Immune Infiltration in Doxorubicin-Related Cardiotoxicity. Mediators of Inflammation. 2023. 1–23. 3 indexed citations
3.
Qin, Yuhan, Yong Qiao, Dong Wang, et al.. (2021). The Predictive Value of Soluble Urokinase-Type Plasminogen Activator Receptor in Contrast-Induced Acute Kidney Injury in Patients Undergoing Percutaneous Coronary Intervention. International Journal of General Medicine. Volume 14. 6497–6504. 7 indexed citations
4.
Zhang, Rui, Zhenjun Ji, Yuyu Yao, et al.. (2020). Identification of hub genes in unstable atherosclerotic plaque by conjoint analysis of bioinformatics. Life Sciences. 262. 118517–118517. 10 indexed citations
5.
Gu, Lingyun, et al.. (2020). Fibroblast Growth Factor 21 Correlates with the Prognosis of Dilated Cardiomyopathy. Cardiology. 146(1). 27–33. 19 indexed citations
6.
Su, Yamin, Rui Zhang, Yangyang Qu, et al.. (2020). N-methyladenosine methyltransferase plays a role in hypoxic preconditioning partially through the interaction with lncRNA H19. Acta Biochimica et Biophysica Sinica. 52(12). 1306–1315. 24 indexed citations
7.
8.
Yao, Yuyu, Bing Li, Cong Fu, et al.. (2017). Anti-connective tissue growth factor detects and reduces plaque inflammation in early-stage carotid atherosclerotic lesions. Nanomedicine Nanotechnology Biology and Medicine. 13(8). 2385–2394. 16 indexed citations
9.
Yan, Gaoliang, Jiantong Hou, Dong Wang, et al.. (2016). The predictive value of the platelet/lymphocyte ratio for contrast-induced nephropathy after percutaneous coronary intervention in older patients with acute myocardial infarction. Zhonghua laonian yixue zazhi. 35(8). 828–833. 1 indexed citations
10.
Yao, Yuyu, Cong Fu, Genshan Ma, et al.. (2013). Tissue kallikrein is related to the severity of coronary artery disease. Clinica Chimica Acta. 423. 90–98. 7 indexed citations
11.
Chen, Zhongpu, et al.. (2013). Regulation of c-kit+ Progenitor Cells by Stromal Cell Derived Factor-1α in Adult Murine Heart. Heart Lung and Circulation. 23(1). 75–81. 6 indexed citations
12.
Wang, Xin, et al.. (2013). Serum surfactant protein D is associated with the prognosis in patients with chronic kidney disease. Journal of Cardiovascular Medicine. 14(6). 461–465. 8 indexed citations
13.
Yao, Yuyu, Zulong Sheng, Yefei Li, et al.. (2012). Tissue Kallikrein Promotes Cardiac Neovascularization by Enhancing Endothelial Progenitor Cell Functional Capacity. Human Gene Therapy. 23(8). 859–870. 22 indexed citations
14.
Yao, Yuyu, Yuanyuan Wang, Yi Zhang, et al.. (2012). In Vivo Imaging of Macrophages during the Early-Stages of Abdominal Aortic Aneurysm Using High Resolution MRI in ApoE−/− Mice. PLoS ONE. 7(3). e33523–e33523. 26 indexed citations
15.
Liu, Hong, Genshan Ma, Ping Zhang, et al.. (2011). Association of chronic kidney disease and coronary artery disease in 1,010 consecutive patients undergoing coronary angiography. Journal of Nephrology. 25(2). 219–224. 28 indexed citations
16.
Ding, Jiandong, Genshan Ma, Chen Wang, et al.. (2009). Right Ventricular Remodeling after Transcatheter Closure of Atrial Septal Defect. Echocardiography. 26(10). 1146–1152. 18 indexed citations
17.
Chen, Zhong, Genshan Ma, Xiaoli Zhang, & Jiahong Wang. (2009). Lipoprotein lipase and premature coronary artery disease. Acta Cardiologica. 64(3). 379–383. 3 indexed citations
18.
Ma, Genshan. (2008). The Chronic Inflammation and NF-κB Gene Polymorphism in Patients with Chronic Coronary Heart Disease. 1 indexed citations
19.
Ma, Genshan, et al.. (2008). Atrial natriuretic peptide and three-dimensional echocardiography after transcatheter closure of atrial septal defect. Cardiovascular Ultrasound. 6(1). 35–35. 3 indexed citations
20.
Ma, Genshan. (2007). Effect of CD_(40)-CD_(40) ligand interaction on proliferation and migration in cultured human umbilical vein endothelial cells. Zhongguo xiandai yixue/Zhongguo xiandai yixue zazhi. 1 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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