Junbo Ge

6.9k total citations
227 papers, 3.3k citations indexed

About

Junbo Ge is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Junbo Ge has authored 227 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Cardiology and Cardiovascular Medicine, 86 papers in Surgery and 37 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Junbo Ge's work include Coronary Interventions and Diagnostics (50 papers), Cardiac Imaging and Diagnostics (32 papers) and Acute Myocardial Infarction Research (30 papers). Junbo Ge is often cited by papers focused on Coronary Interventions and Diagnostics (50 papers), Cardiac Imaging and Diagnostics (32 papers) and Acute Myocardial Infarction Research (30 papers). Junbo Ge collaborates with scholars based in China, United States and Germany. Junbo Ge's co-authors include Juying Qian, Hong Jiang, Yuxiang Dai, Aijun Sun, Yunzeng Zou, Yong Huo, Haozhu Chen, Feng Zhang, Yunzeng Zou and Xuejuan Jin and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Junbo Ge

213 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junbo Ge China 31 1.3k 909 880 322 291 227 3.3k
Kejiang Cao China 33 1.7k 1.3× 637 0.7× 957 1.1× 339 1.1× 200 0.7× 207 3.8k
George A. Stouffer United States 36 2.0k 1.5× 1.1k 1.2× 768 0.9× 239 0.7× 391 1.3× 187 4.0k
Chris Watson United Kingdom 31 1.7k 1.3× 486 0.5× 1.1k 1.3× 284 0.9× 277 1.0× 138 3.8k
Jie Sun China 35 2.0k 1.5× 506 0.6× 1.2k 1.3× 502 1.6× 387 1.3× 135 4.5k
Ling Dong China 34 689 0.5× 512 0.6× 1.1k 1.3× 274 0.9× 246 0.8× 165 3.7k
Nadine Clausell Brazil 35 1.7k 1.3× 617 0.7× 503 0.6× 494 1.5× 218 0.7× 158 3.5k
Marcus E. Kleber Germany 37 1.2k 0.9× 1.1k 1.2× 998 1.1× 554 1.7× 751 2.6× 192 4.8k
Karam Kostner Australia 29 1.2k 0.9× 1.2k 1.3× 462 0.5× 412 1.3× 612 2.1× 136 3.6k
Leonardo Antônio Mamede Zornoff Brazil 31 2.2k 1.7× 632 0.7× 765 0.9× 310 1.0× 264 0.9× 202 3.9k
Verena Stangl Germany 42 1.9k 1.4× 649 0.7× 1.7k 1.9× 581 1.8× 317 1.1× 158 5.5k

Countries citing papers authored by Junbo Ge

Since Specialization
Citations

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

Fields of papers citing papers by Junbo Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junbo Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Junbo Ge. A scholar is included among the top collaborators of Junbo Ge 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 Junbo Ge. Junbo Ge 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.
2.
Wang, Zhenglong, et al.. (2024). Dendritic cell‐derived lncRNAs in patients with acute coronary syndrome. Journal of Cellular and Molecular Medicine. 28(20). e70057–e70057. 3 indexed citations
3.
Hong, David, Neng Dai, Seung Hun Lee, et al.. (2024). Fractional Flow Reserve and Fractional Flow Reserve Gradient From CCTA for Predicting Future Coronary Events. JACC Asia. 4(10). 735–747.
4.
Gong, Yanjun, Bo Zheng, Zhibing Lu, et al.. (2023). Coronary angiography-derived index for assessing microcirculatory resistance in patients with non-obstructed vessels: The FLASH IMR study. American Heart Journal. 263. 56–63. 13 indexed citations
5.
Liu, Rongle, et al.. (2023). Gut Microbiota-Derived Tryptophan Metabolite Indole-3-aldehyde Ameliorates Aortic Dissection. Nutrients. 15(19). 4150–4150. 11 indexed citations
6.
Brito, Dulce, Diego Pérez de Arenaza, N. Bart, et al.. (2023). World Heart Federation Consensus on Transthyretin Amyloidosis Cardiomyopathy (ATTR-CM). Global Heart. 18(1). 59–59. 33 indexed citations
7.
Wang, Rui, Han Chen, Hao Lu, et al.. (2023). In vivo evaluation of intravascular lithotripsy in a healthy porcine coronary model. Catheterization and Cardiovascular Interventions. 101(6). 1062–1070. 1 indexed citations
8.
Cheng, Hao, et al.. (2023). TNC Accelerates Hypoxia-Induced Cardiac Injury in a METTL3-Dependent Manner. Genes. 14(3). 591–591. 15 indexed citations
9.
Huang, Dong, Wei Gao, Xin Zhong, et al.. (2023). Epigenetically altered macrophages promote development of diabetes-associated atherosclerosis. Frontiers in Immunology. 14. 1196704–1196704. 10 indexed citations
10.
Shi, Hongtao, et al.. (2022). New diagnostic and therapeutic strategies for myocardial infarction via nanomaterials. EBioMedicine. 78. 103968–103968. 70 indexed citations
11.
Zhou, Mengge, Jie Zhang, Jing Liu, et al.. (2022). Proton Pump Inhibitors and In-Hospital Gastrointestinal Bleeding in Patients With Acute Coronary Syndrome Receiving Dual Antiplatelet Therapy. Mayo Clinic Proceedings. 97(4). 682–692. 6 indexed citations
12.
Chen, Xueying, Qinchun Jin, Bingyu Li, et al.. (2019). Electrophysiological parameters and anatomical evaluation of left bundle branch pacing in an in vivo canine model. Journal of Cardiovascular Electrophysiology. 31(1). 214–219. 20 indexed citations
13.
Fan, Fangfang, Yuxi Li, Yan Zhang, et al.. (2019). Chest Pain Center Accreditation Is Associated With Improved In‐Hospital Outcomes of Acute Myocardial Infarction Patients in China: Findings From the CCC‐ACS Project. Journal of the American Heart Association. 8(21). e013384–e013384. 38 indexed citations
14.
Hao, Yongchen, Jing Liu, Sidney C. Smith, et al.. (2018). Rationale and design of the improving Care for Cardiovascular Disease in China (CCC) project: a national registry to improve management of atrial fibrillation. BMJ Open. 8(7). e020968–e020968. 14 indexed citations
15.
Huang, Zheyong, Yanan Song, Zhiqing Pang, et al.. (2017). Targeted delivery of thymosin beta 4 to the injured myocardium using CREKA-conjugated nanoparticles. International Journal of Nanomedicine. Volume 12. 3023–3036. 32 indexed citations
16.
Zhou, Jingmin, Xiaotong Cui, & Junbo Ge. (2015). [The epidemiological profile of heart failure patients in China].. PubMed. 43(12). 1018–21. 5 indexed citations
17.
Yang, Hongbo, et al.. (2014). Limited value of recovery phase-limited ST segment depression of treadmill exercise test. Chinese Medical Journal. 127(4). 742–746. 4 indexed citations
18.
Huang, Zheyong, Juying Qian, & Junbo Ge. (2013). Very late stent thrombosis due to multiple stent fracture and stent malapposition. Chinese Medical Journal. 126(1). 186–189.
19.
Huo, Yong, J.P.S. Sawhney, Hyo‐Soo Kim, et al.. (2013). Abstract 14546: Contemporary Pre-Hospital Management of Acute Coronary Syndromes Patients: Results From the EPICOR Asia Study. Circulation. 128. 4 indexed citations
20.
Qian, Juying, Zhangwei Chen, Junbo Ge, et al.. (2010). Relationship between aortic valve calcification and the severity of coronary atherosclerotic disease.. PubMed. 19(4). 466–70. 14 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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