Jun Pu

9.4k total citations
328 papers, 6.4k citations indexed

About

Jun Pu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Jun Pu has authored 328 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Cardiology and Cardiovascular Medicine, 108 papers in Molecular Biology and 72 papers in Surgery. Recurrent topics in Jun Pu's work include Cardiac Imaging and Diagnostics (65 papers), Acute Myocardial Infarction Research (38 papers) and Coronary Interventions and Diagnostics (32 papers). Jun Pu is often cited by papers focused on Cardiac Imaging and Diagnostics (65 papers), Acute Myocardial Infarction Research (38 papers) and Coronary Interventions and Diagnostics (32 papers). Jun Pu collaborates with scholars based in China, United States and Singapore. Jun Pu's co-authors include Ben He, Ancai Yuan, Song Ding, Yichao Zhao, Longwei Xu, Jian Zhang, Shaoyong Lu, Lingchen Gao, Duan Ni and Yuanyuan Su and has published in prestigious journals such as Advanced Materials, Circulation and Nature Communications.

In The Last Decade

Jun Pu

300 papers receiving 6.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Pu China 44 2.5k 1.6k 1.2k 881 858 328 6.4k
Po‐Hsun Huang Taiwan 44 2.1k 0.8× 1.6k 1.0× 1.2k 1.0× 739 0.8× 276 0.3× 248 6.5k
Shigehiro Katayama Japan 45 2.7k 1.1× 1.8k 1.2× 1.2k 1.0× 497 0.6× 763 0.9× 224 8.2k
Ioanna Andreadou Greece 46 1.9k 0.8× 2.1k 1.3× 1.0k 0.9× 426 0.5× 325 0.4× 195 7.0k
Motoyuki Nakamura Japan 45 1.7k 0.7× 3.0k 1.9× 979 0.8× 634 0.7× 481 0.6× 261 6.6k
Gemma Vilahur Spain 45 1.9k 0.8× 2.6k 1.7× 1.8k 1.5× 470 0.5× 390 0.5× 206 7.2k
Genzou Takemura Japan 48 3.2k 1.3× 3.2k 2.1× 1.7k 1.5× 665 0.8× 899 1.0× 213 8.4k
Jaw‐Wen Chen Taiwan 51 3.1k 1.2× 2.8k 1.8× 1.6k 1.4× 847 1.0× 469 0.5× 291 9.4k
Keijiro Saku Japan 43 2.2k 0.9× 3.6k 2.3× 2.3k 1.9× 502 0.6× 511 0.6× 422 8.0k
Teresa Padró Spain 43 2.9k 1.2× 1.8k 1.2× 1.5k 1.3× 439 0.5× 377 0.4× 197 7.2k
Peter Kružliak Czechia 39 1.7k 0.7× 749 0.5× 596 0.5× 454 0.5× 397 0.5× 221 5.0k

Countries citing papers authored by Jun Pu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Pu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Pu. A scholar is included among the top collaborators of Jun Pu 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 Pu. Jun Pu 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.
Zhang, Hu, et al.. (2025). Multiscale BRDF Modeling and Scale Effect Analysis Using UAV Multiangle Remote Sensing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 23090–23106.
2.
Jiang, Mingjie, et al.. (2024). A novel fine-grained assembly sequence planning method based on knowledge graph and deep reinforcement learning. Journal of Manufacturing Systems. 76. 371–384. 7 indexed citations
3.
Chen, Delong, Yuxuan Zhang, Die Hu, et al.. (2024). Combined risk estimates of diabetes and coronary angiography-derived index of microcirculatory resistance in patients with non-ST elevation myocardial infarction. Cardiovascular Diabetology. 23(1). 300–300. 2 indexed citations
4.
Zhong, Yiming, Gao‐xiang Li, Yichao Zhao, et al.. (2024). Causal Relationship between PECAM-1 Level and Cardiovascular Diseases: A Mendelian Randomization Study. SHILAP Revista de lepidopterología. 9(1). 2 indexed citations
5.
Li, Yanyan, et al.. (2024). Interfacial Self‐Assembly Nanostructures: Constructions and Applications. Small. 20(49). e2405318–e2405318. 13 indexed citations
6.
Zhao, Yichao, Yanan Fu, Ancai Yuan, et al.. (2024). LXRα Promotes Abdominal Aortic Aneurysm Formation Through UHRF1 Epigenetic Modification of miR-26b-3p. Circulation. 150(1). 30–46. 17 indexed citations
7.
Xu, Wenyi, et al.. (2024). Urolithin A Protects against Hypoxia-Induced Pulmonary Hypertension by Inhibiting Pulmonary Arterial Smooth Muscle Cell Pyroptosis via AMPK/NF-κB/NLRP3 Signaling. International Journal of Molecular Sciences. 25(15). 8246–8246. 8 indexed citations
8.
Yang, Junyao, Yinghui Song, Renyang Tong, et al.. (2024). SuperFeat: Quantitative Feature Learning from Single-cell RNA-seq Data Facilitates Drug Repurposing. Genomics Proteomics & Bioinformatics. 22(3).
9.
Wang, Yifan, Xiaoying Ying, Yuehong Wang, et al.. (2023). Hydrogen sulfide alleviates mitochondrial damage and ferroptosis by regulating OPA3–NFS1 axis in doxorubicin-induced cardiotoxicity. Cellular Signalling. 107. 110655–110655. 29 indexed citations
10.
11.
Wang, Xiaobo, Jun Pu, Guixia Wang, et al.. (2023). Efficacy and safety analysis of angiotensin receptor neprilysin inhibition(ARNI)in patients with heart failure: a real-world retrospective study. BMC Cardiovascular Disorders. 23(1). 343–343. 2 indexed citations
12.
Chen, Xiaojing, Qianyun Tang, Jinqiang Wang, et al.. (2023). A DNA/DMXAA/Metal–Organic Framework Activator of Innate Immunity for Boosting Anticancer Immunity. Advanced Materials. 35(15). 2210440–2210440. 62 indexed citations
13.
Lu, Shaoyong, Xinheng He, Zhao Yang, et al.. (2021). Activation pathway of a G protein-coupled receptor uncovers conformational intermediates as targets for allosteric drug design. Nature Communications. 12(1). 4721–4721. 160 indexed citations
14.
Zuo, Yunxia, et al.. (2020). Circular RNA Circ-ZNF609 Promotes Lung Adenocarcinoma Proliferation by Modulating miR-1224-3p/ETV1 Signaling. SHILAP Revista de lepidopterología. 2 indexed citations
15.
16.
Wang, H, Liu L, Xin Rao, et al.. (2020). Commensal Microbiota Regulation of Metabolic Networks During Olfactory Dysfunction in Mice. SHILAP Revista de lepidopterología. 1 indexed citations
17.
Leng, Shuang, Heng Ge, Jie He, et al.. (2020). Long-term Prognostic Value of Cardiac MRI Left Atrial Strain in ST-Segment Elevation Myocardial Infarction. Radiology. 296(2). 299–309. 51 indexed citations
18.
Ni, Duan, Jiacheng Wei, Xinheng He, et al.. (2020). Discovery of cryptic allosteric sites using reversed allosteric communication by a combined computational and experimental strategy. Chemical Science. 12(1). 464–476. 108 indexed citations
19.
P, Liu, et al.. (2019). Bioinformatic analysis of miR-4792 regulates Radix Tetrastigma hemsleyani flavone to inhibit proliferation, invasion, and induce apoptosis of A549 cells. SHILAP Revista de lepidopterología. 1 indexed citations
20.
Wang, Jun, Xing Li, Jun Pu, et al.. (2019). Association between Gamma-Glutamyl Transferase and Coronary Atherosclerotic Plaque Vulnerability: An Optical Coherence Tomography Study. BioMed Research International. 2019. 1–11. 5 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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