Jun Wan

4.3k total citations · 1 hit paper
125 papers, 3.0k citations indexed

About

Jun Wan is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Immunology. According to data from OpenAlex, Jun Wan has authored 125 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Cardiology and Cardiovascular Medicine, 37 papers in Molecular Biology and 35 papers in Immunology. Recurrent topics in Jun Wan's work include Pulmonary Hypertension Research and Treatments (15 papers), COVID-19 Clinical Research Studies (12 papers) and Atherosclerosis and Cardiovascular Diseases (11 papers). Jun Wan is often cited by papers focused on Pulmonary Hypertension Research and Treatments (15 papers), COVID-19 Clinical Research Studies (12 papers) and Atherosclerosis and Cardiovascular Diseases (11 papers). Jun Wan collaborates with scholars based in China, United States and Japan. Jun Wan's co-authors include Menglong Wang, Jishou Zhang, Yao Xu, Zhen Wang, Di Ye, Wei Pan, Mengmeng Zhao, Jianfang Liu, Huimin Jiang and Hong Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Journal of the American College of Cardiology.

In The Last Decade

Jun Wan

121 papers receiving 2.9k citations

Hit Papers

Microglia-Mediated Neuroi... 2022 2026 2023 2024 2022 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jun Wan 959 678 537 496 354 125 3.0k
Karina Braga Gomes 850 0.9× 428 0.6× 608 1.1× 192 0.4× 327 0.9× 194 3.8k
Tatsuo Kawai 1.2k 1.2× 1.2k 1.8× 313 0.6× 374 0.8× 497 1.4× 61 3.9k
Francisco J. Rios 1.2k 1.3× 995 1.5× 801 1.5× 268 0.5× 471 1.3× 86 4.0k
Vincenzo Brancaleone 1.3k 1.4× 310 0.5× 695 1.3× 247 0.5× 379 1.1× 63 3.6k
Ping‐Yen Liu 992 1.0× 1.1k 1.6× 247 0.5× 292 0.6× 862 2.4× 164 3.3k
Carmine Savoia 874 0.9× 1.6k 2.4× 300 0.6× 249 0.5× 386 1.1× 79 3.5k
Assaad A. Eid 1.4k 1.4× 320 0.5× 610 1.1× 203 0.4× 431 1.2× 131 3.7k
Cristina Banfi 1.3k 1.3× 738 1.1× 422 0.8× 394 0.8× 531 1.5× 147 3.5k
Jorge F. Giani 976 1.0× 1.2k 1.7× 333 0.6× 175 0.4× 209 0.6× 73 2.7k

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.
Sun, Kexin, Jun Wan, Limin Chen, et al.. (2025). Electroacupuncture Improves Learning and Memory Impairment in Rats with Cerebral Ischemia/Reperfusion Injury by Promoting Microglia/Macrophage M2 Polarization Through Nrf2/HO-1 Pathway. Journal of Inflammation Research. Volume 18. 2925–2941. 1 indexed citations
2.
Wan, Jun, et al.. (2025). Semi-Supervised CT Denoising via Text-Guided Mamba Diffusion Models. IEEE Transactions on Instrumentation and Measurement. 74. 1–13.
3.
Zhang, Meng, Haobo Li, Shuangshuang Ma, et al.. (2024). Serum proteome profiling reveals HGFA as a candidate biomarker for pulmonary arterial hypertension. Respiratory Research. 25(1). 418–418.
4.
Ji, Qingwei, Mengmeng Zhao, Zihui Zheng, et al.. (2024). IL-12p40 deletion reduces M1 macrophage polarization and alleviates cardiac remodeling via regulating Th17 cells differentiation, but not γδT 17 cells, in TAC mice. European Journal of Pharmacology. 974. 176602–176602.
5.
Zhang, Jishou, Zheng Yin, Siqi Liu, et al.. (2024). Interleukin-12p40 deficiency attenuates myocardial ferroptosis in doxorubicin-induced chronic cardiomyopathy by inhibiting Th17 differentiation and interleukin-17A production. Cardiovascular Research. 120(16). 2117–2133. 7 indexed citations
6.
Yin, Zheng, Jishou Zhang, Mengmeng Zhao, et al.. (2024). Maresin‐1 ameliorates hypertensive vascular remodeling through its receptor LGR6. SHILAP Revista de lepidopterología. 5(3). e491–e491. 10 indexed citations
7.
Yin, Zheng, et al.. (2024). Regulated vascular smooth muscle cell death in vascular diseases. Cell Proliferation. 57(11). e13688–e13688. 10 indexed citations
8.
Zhang, Jishou, Shanshan Peng, J.P. Liu, et al.. (2024). Kielin/chordin‐like protein deficiency aggravates pressure overload‐induced cardiac dysfunction and remodeling via P53 / P21 / CCNB1 signaling in mice. The FASEB Journal. 38(5). e23513–e23513. 1 indexed citations
9.
Feng, Yongqi, Di Ye, Menglong Wang, et al.. (2023). IL-27p28 knockout aggravates Doxorubicin-induced cardiotoxicity by regulating Macrophage polarization. Biochemical Pharmacology. 210. 115469–115469. 5 indexed citations
10.
Wang, Menglong, Jishou Zhang, Zheng Yin, et al.. (2023). Microglia‐Mediated Neuroimmune Response Regulates Cardiac Remodeling After Myocardial Infarction. Journal of the American Heart Association. 12(12). e029053–e029053. 16 indexed citations
11.
Zhao, Mengmeng, Zihui Zheng, Zheng Yin, et al.. (2023). DEL-1 deficiency aggravates pressure overload-induced heart failure by promoting neutrophil infiltration and neutrophil extracellular traps formation. Biochemical Pharmacology. 218. 115912–115912. 10 indexed citations
12.
Ye, Di, Yongqi Feng, Zhen Wang, et al.. (2023). Kielin/chordin-like protein deficiency causes cardiac aging in male mice. Journal of Molecular Medicine. 101(6). 731–742. 3 indexed citations
13.
Zhang, Jishou, Zheng Yin, Yao Xu, et al.. (2023). Resolvin E1/ChemR23 Protects Against Hypertension and Vascular Remodeling in Angiotensin II–Induced Hypertensive Mice. Hypertension. 80(12). 2650–2664. 21 indexed citations
14.
Zhao, Mengmeng, Zihui Zheng, Wei Pan, et al.. (2023). TRPA1 deficiency aggravates dilated cardiomyopathy by promoting S100A8 expression to induce M1 macrophage polarization in rats. The FASEB Journal. 37(6). e22982–e22982. 14 indexed citations
15.
16.
Zhao, Mengmeng, Jishou Zhang, Yao Xu, et al.. (2021). Selective Inhibition of NLRP3 Inflammasome Reverses Pressure Overload-Induced Pathological Cardiac Remodeling by Attenuating Hypertrophy, Fibrosis, and Inflammation. International Immunopharmacology. 99. 108046–108046. 42 indexed citations
17.
Wang, Menglong, Menglin Liu, Jishou Zhang, et al.. (2020). Resolvin D1 protects against sepsis‐induced cardiac injury in mice. BioFactors. 46(5). 766–776. 33 indexed citations
18.
Wang, Zhen, Di Ye, Menglong Wang, et al.. (2020). Clinical Features of COVID‐19 Patients with Different Outcomes in Wuhan: A Retrospective Observational Study. BioMed Research International. 2020(1). 2138387–2138387. 28 indexed citations
19.
Ye, Jing, Zhen Wang, Di Ye, et al.. (2019). Increased Interleukin-11 Levels Are Correlated with Cardiac Events in Patients with Chronic Heart Failure. Mediators of Inflammation. 2019. 1–8. 39 indexed citations
20.
Ye, Jing, Yuan Wang, Zhen Wang, et al.. (2018). Circulating Th1, Th2, Th9, Th17, Th22, and Treg Levels in Aortic Dissection Patients. Mediators of Inflammation. 2018. 1–10. 59 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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