Junming Zhu

3.2k total citations
141 papers, 2.2k citations indexed

About

Junming Zhu is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Junming Zhu has authored 141 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Pulmonary and Respiratory Medicine, 80 papers in Cardiology and Cardiovascular Medicine and 49 papers in Surgery. Recurrent topics in Junming Zhu's work include Aortic Disease and Treatment Approaches (110 papers), Aortic aneurysm repair treatments (71 papers) and Cardiac Valve Diseases and Treatments (57 papers). Junming Zhu is often cited by papers focused on Aortic Disease and Treatment Approaches (110 papers), Aortic aneurysm repair treatments (71 papers) and Cardiac Valve Diseases and Treatments (57 papers). Junming Zhu collaborates with scholars based in China, United States and Australia. Junming Zhu's co-authors include Yongmin Liu, Li‐Zhong Sun, Jun Zheng, Rui-Dong Qi, Lizhong Sun, Wei‐Guo Ma, Jun Zheng, Qian Chang, John A. Elefteriades and Bulat A. Ziganshin and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Junming Zhu

127 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junming Zhu China 26 1.9k 1.2k 762 184 115 141 2.2k
Evaldas Girdauskas Germany 28 1.6k 0.8× 2.1k 1.7× 707 0.9× 786 4.3× 19 0.2× 170 2.7k
B. Sonesson Sweden 23 1.2k 0.6× 872 0.7× 656 0.9× 52 0.3× 11 0.1× 49 1.7k
Seiki Nagata Japan 27 903 0.5× 2.0k 1.6× 1.5k 2.0× 294 1.6× 10 0.1× 94 2.9k
Patrick Ruchat Switzerland 25 741 0.4× 1.1k 0.9× 719 0.9× 430 2.3× 8 0.1× 97 1.9k
Éric Abergel France 20 178 0.1× 1.1k 0.9× 950 1.2× 150 0.8× 17 0.1× 47 2.0k
B. Zane Atkins United States 19 611 0.3× 387 0.3× 1.7k 2.2× 83 0.5× 7 0.1× 35 2.3k
Jeffrey L. Kaufman United States 21 587 0.3× 205 0.2× 748 1.0× 58 0.3× 92 0.8× 59 1.3k
Marco Agrifoglio Italy 21 523 0.3× 674 0.5× 614 0.8× 273 1.5× 6 0.1× 101 1.4k
Avinoam Shiran Israel 21 316 0.2× 975 0.8× 474 0.6× 363 2.0× 12 0.1× 88 1.5k
Gianluigi Bisleri Italy 21 417 0.2× 1.2k 1.0× 909 1.2× 325 1.8× 9 0.1× 138 1.8k

Countries citing papers authored by Junming Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Junming Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junming Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Junming Zhu. A scholar is included among the top collaborators of Junming Zhu 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 Junming Zhu. Junming Zhu 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.
Liang, Feng, Xiaotao Zhang, Ziyang Jin, et al.. (2025). Plasmablast-like lymphoma cells as a distinct subpopulation confer multidrug resistance in PCNSL. Neuro-Oncology. 27(11). 2927–2942.
2.
Yu, Hong, et al.. (2025). Identification of the Hub Gene LDB3 in Stanford Type A Aortic Dissection Based on Comprehensive Bioinformatics Analysis. Journal of Cellular and Molecular Medicine. 29(6). e70471–e70471.
3.
Xia, Yu, et al.. (2025). Hemodynamic characteristics of dilated ascending aorta in patients with bicuspid aortic valve. Journal of Cardiothoracic Surgery. 20(1). 354–354.
4.
Wang, Xiaomeng, Chenglong Li, Feng Yang, et al.. (2024). Does Higher Temperature During Moderate Hypothermic Circulatory Arrest Increase the Risk of Paraplegia in Acute DeBakey I Aortic Dissection Patients?. Canadian Journal of Cardiology. 41(4). 749–760. 1 indexed citations
5.
Liu, Hong, Yang Liu, Cuiying Chen, et al.. (2024). Management strategies and outcomes in pregnancy-related acute aortic dissection: a multicentre cohort study in China. Heart. 110(22). 1298–1306.
6.
Spadaccio, Cristiano, et al.. (2023). Surgical management of aortic regurgitation secondary to Behcet's disease. Frontiers in Cardiovascular Medicine. 10. 1093024–1093024. 3 indexed citations
7.
Zhao, Yichen, Qing Ye, Shuai Zheng, et al.. (2023). Impact of pulmonary arterial systolic pressure on patients with mitral valve disease combined with atrial fibrillation. Frontiers in Cardiovascular Medicine. 9. 1047715–1047715.
8.
Tang, Bing, et al.. (2023). Association between preoperative serum myoglobin and acute kidney injury after Stanford Type A aortic dissection surgery. Clinica Chimica Acta. 541. 117232–117232. 5 indexed citations
9.
10.
Li, Taotao, Na Gao, Wei Cui, et al.. (2021). The role of CD8+ Granzyme B+ T cells in the pathogenesis of Takayasu’s arteritis. Clinical Rheumatology. 41(1). 167–176. 6 indexed citations
11.
Liu, Jie, Yongmin Liu, Junming Zhu, et al.. (2021). Body mass index is an independent predictor of acute kidney injury after urgent aortic arch surgery for acute DeBakey Type I aortic dissection. Journal of Cardiothoracic Surgery. 16(1). 145–145. 8 indexed citations
12.
Zhang, Kai, Xu-Dong Pan, Jun Zheng, et al.. (2020). Cardiopulmonary bypass duration is an independent predictor of adverse outcome in surgical repair for acute type A aortic dissection. SHILAP Revista de lepidopterología. 48(11). 1220768002–1220768002. 11 indexed citations
13.
Wang, Longfei, et al.. (2019). DavidIversus Bentall in aortic root disease. 35(7). 414–416. 1 indexed citations
14.
Ma, Wei‐Guo, Long-Fei Wang, Sven Peterß, et al.. (2016). FROZEN ELEPHANT TRUNK FOR TYPE A AORTIC DISSECTION: INTERACTIONS OF TRANSFER DISTANCE, ACUITY AND MORTALITY. Journal of the American College of Cardiology. 67(13). 2273–2273. 7 indexed citations
15.
16.
Zhao, Honglei, Xu-Dong Pan, Jun Zheng, et al.. (2015). Risk factors for acute kidney injury in overweight patients with acute type A aortic dissection: a retrospective study.. PubMed Central. 7(8). 1385–90. 33 indexed citations
17.
Zhu, Junming, Rui-Dong Qi, Wei Liu, et al.. (2015). Stented elephant trunk procedure with left subclavian artery transposition for acute type B dissection with distal arch involvement. Journal of Thoracic and Cardiovascular Surgery. 150(5). 1160–1165. 7 indexed citations
18.
Zhu, Junming, et al.. (2015). Repair of complicated type B dissection with an isolated left vertebral artery using the stented elephant trunk technique. European Journal of Cardio-Thoracic Surgery. 49(3). 778–782. 10 indexed citations
19.
Sun, Lizhong, Rui-Dong Qi, Junming Zhu, Yongmin Liu, & Jun Zheng. (2011). Total Arch Replacement Combined With Stented Elephant Trunk Implantation. Circulation. 123(9). 971–978. 298 indexed citations
20.
Wang, Ren, Lizhong Sun, Junming Zhu, et al.. (2011). Surgery for aortic root aneurysm and mitral valve disease through the aortic incision. 27(8). 456–458. 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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