Jun Wan

1.8k total citations · 1 hit paper
73 papers, 1.1k citations indexed

About

Jun Wan is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Internal Medicine. According to data from OpenAlex, Jun Wan has authored 73 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Pulmonary and Respiratory Medicine, 20 papers in Cardiology and Cardiovascular Medicine and 13 papers in Internal Medicine. Recurrent topics in Jun Wan's work include Pulmonary Hypertension Research and Treatments (23 papers), Venous Thromboembolism Diagnosis and Management (13 papers) and Vascular Anomalies and Treatments (6 papers). Jun Wan is often cited by papers focused on Pulmonary Hypertension Research and Treatments (23 papers), Venous Thromboembolism Diagnosis and Management (13 papers) and Vascular Anomalies and Treatments (6 papers). Jun Wan collaborates with scholars based in China, United States and United Kingdom. Jun Wan's co-authors include Zhenguo Zhai, Chen Wang, Antonia Dalmer, Chenghong Li, Peng Liu, Yaolong Chen, Grigoris Gerotziafas, Robert Naeije, Zhenlu Zhang and Natascha Sommer and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Thorax.

In The Last Decade

Jun Wan

61 papers receiving 1.1k citations

Hit Papers

Validation of the Tricuspid Annular Plane Systolic Excurs... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Wan China 13 452 415 246 214 170 73 1.1k
Tina R. Desai United States 20 556 1.2× 281 0.7× 80 0.3× 45 0.2× 170 1.0× 34 1.1k
Teresa Quiroga Chile 20 220 0.5× 278 0.7× 134 0.5× 75 0.4× 99 0.6× 50 1.5k
Serena M. Passamonti Italy 22 148 0.3× 381 0.9× 780 3.2× 50 0.2× 134 0.8× 50 1.6k
İrfan Şahin Türkiye 16 61 0.1× 346 0.8× 61 0.2× 165 0.8× 126 0.7× 71 733
Gerd R. Hetzel Germany 15 167 0.4× 100 0.2× 63 0.3× 54 0.3× 116 0.7× 47 1.2k
Apostolos K. Tassiopoulos United States 26 636 1.4× 280 0.7× 799 3.2× 51 0.2× 119 0.7× 90 2.0k
Brett L. Houston Canada 13 254 0.6× 129 0.3× 55 0.2× 65 0.3× 303 1.8× 38 1.3k
Bettina Leschnik Austria 19 151 0.3× 295 0.7× 225 0.9× 28 0.1× 92 0.5× 56 1.1k
Francesco Salton Italy 20 1.0k 2.2× 59 0.1× 40 0.2× 143 0.7× 197 1.2× 81 1.6k
Hilal Bhat India 10 114 0.3× 169 0.4× 72 0.3× 55 0.3× 189 1.1× 21 764

Countries citing papers authored by Jun Wan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Wan. A scholar is included among the top collaborators of Jun Wan 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 Jun Wan. Jun Wan 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.
Wan, Jun, et al.. (2025). Neutrophil-to-Albumin Ratio Predicts Stroke-Associated Pneumonia in Patients with Intracerebral Hemorrhage. Journal of Inflammation Research. Volume 18. 10835–10843.
2.
Xie, Wanmu, Qiang Huang, Xiaoyan Yan, et al.. (2025). Epidemiology and management patterns of chronic thromboembolic pulmonary hypertension in China. Chinese Medical Journal. 138(8). 1000–1002.
5.
Wan, Jun, et al.. (2024). Optimization analysis of cold chain logistics network structure based on genetic algorithm. 5. 170–170. 1 indexed citations
6.
Zhang, Junchi, et al.. (2024). A graph propagation model with rich event structures for joint event relation extraction. Information Processing & Management. 61(5). 103811–103811. 4 indexed citations
7.
Liu, Lianhua, Jixiang Liu, Shiqing Xu, et al.. (2023). Inhibition of heterogeneous nuclear ribonucleoproteins A1 and oxidative stress reduces glycolysis via pyruvate kinase M2 in chronic thromboembolic pulmonary hypertension. Journal of Translational Internal Medicine. 12(4). 437–451. 3 indexed citations
8.
Wan, Jun, et al.. (2023). Emission of Brominated Pollutants from Waste Printed Circuit Boards during Thermal Treatment: A Review. Aerosol and Air Quality Research. 23(12). 230135–230135. 4 indexed citations
9.
Zhang, Meng, Wanmu Xie, Yao Xiao, et al.. (2023). Current status of diagnosis and treatment of pulmonary hypertension in Chinese tertiary hospitals: A nationwide survey. Pulmonary Circulation. 13(2). e12241–e12241. 3 indexed citations
10.
Tang, Shuai, et al.. (2023). Comparison of jejunal aspirate culture and methane and hydrogen breath test in the diagnosis of small intestinal bacterial overgrowth. Irish Journal of Medical Science (1971 -). 193(2). 699–703. 7 indexed citations
11.
Xiang, Shao, et al.. (2020). [Risk factors and clinical features of hospital-associated venous thromboembolism].. PubMed. 100(20). 1539–1543. 1 indexed citations
12.
Liu, Weifang, Xiaojuan Guo, Peiyao Zhang, et al.. (2020). Evaluation of acute pulmonary embolism and clot burden on CTPA with deep learning. European Radiology. 30(6). 3567–3575. 74 indexed citations
13.
Zhang, Yunxia, Meng Zhang, Ran Miao, et al.. (2020). Extracellular matrix collagen biomarkers levels in patients with chronic thromboembolic pulmonary hypertension. Journal of Thrombosis and Thrombolysis. 52(1). 48–58. 12 indexed citations
14.
Zhang, Yunxia, Meng Zhang, Wanmu Xie, et al.. (2020). Gremlin-1 is a key regulator of endothelial-to-mesenchymal transition in human pulmonary artery endothelial cells. Experimental Cell Research. 390(1). 111941–111941. 18 indexed citations
15.
Shi, Qingkai, et al.. (2019). DeepGini: Prioritizing Massive Tests to Reduce Labeling Cost.. arXiv (Cornell University). 9 indexed citations
16.
Zhai, Zhenguo, et al.. (2018). The value of speckle-tracking echocardiography in identifying right heart dysfunction in patients with chronic thromboembolic pulmonary hypertension. International journal of cardiac imaging. 34(12). 1895–1904. 16 indexed citations
17.
Su, Binbin, Baixuan Xu, & Jun Wan. (2014). Correlation between Long-Term Aspirin Use and F-Fluorodeoxyglucose Uptake in Colorectal Cancer Measured by PET/CT. PLoS ONE. 9(10). e109459–e109459. 6 indexed citations
18.
Chai, Ningli, et al.. (2013). [Oxymatrine could promote mesenchymal stem cell therapy in hepatic fibrosis rats: an experimental research].. PubMed. 33(6). 840–4. 4 indexed citations
19.
Liu, Jun, Zhe Qu, Jia Xu, et al.. (2006). Atrial fibrillation: Rhythm control offers no advantage over rate control for some, but not all. Medical Hypotheses. 69(1). 206–208. 1 indexed citations
20.
Zhao, Xinyi, et al.. (2002). Characteristics of change in temperature during the past 50 years in Jilin province of China. Chinese Geographical Science. 12(4). 329–332. 24 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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