Yuan Wu

1.3k total citations
57 papers, 873 citations indexed

About

Yuan Wu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yuan Wu has authored 57 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 20 papers in Cardiology and Cardiovascular Medicine and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yuan Wu's work include Neuroscience and Neuropharmacology Research (10 papers), Coronary Interventions and Diagnostics (7 papers) and Epilepsy research and treatment (7 papers). Yuan Wu is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Coronary Interventions and Diagnostics (7 papers) and Epilepsy research and treatment (7 papers). Yuan Wu collaborates with scholars based in China, United States and United Kingdom. Yuan Wu's co-authors include Qi Huang, Xixia Liu, Zhangwei Chen, Qing Ye, Donghua Zou, Danbo Lu, Juying Qian, Peng Ren, Chang Zhou and Xing Wei and has published in prestigious journals such as PLoS ONE, Scientific Reports and Brain Research.

In The Last Decade

Yuan Wu

55 papers receiving 862 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuan Wu China 17 319 201 156 143 121 57 873
Bei Song China 18 393 1.2× 216 1.1× 137 0.9× 124 0.9× 161 1.3× 38 1.1k
Ping Zheng China 14 434 1.4× 55 0.3× 244 1.6× 124 0.9× 36 0.3× 33 955
Carolina Gravina Italy 17 348 1.1× 48 0.2× 105 0.7× 48 0.3× 124 1.0× 40 921
Yi Lin China 14 226 0.7× 282 1.4× 27 0.2× 114 0.8× 85 0.7× 34 943
Carmine Del Giudice Italy 17 427 1.3× 267 1.3× 98 0.6× 56 0.4× 110 0.9× 24 1.0k
Peng Teng China 17 383 1.2× 148 0.7× 149 1.0× 92 0.6× 161 1.3× 64 929
Dorit Daphna-Iken United States 18 348 1.1× 110 0.5× 107 0.7× 63 0.4× 207 1.7× 24 1.3k
Bradley J. Davis United States 17 418 1.3× 100 0.5× 68 0.4× 42 0.3× 118 1.0× 34 1.1k
Andrew D. Nguyen United States 18 429 1.3× 41 0.2× 147 0.9× 81 0.6× 122 1.0× 42 1.2k
Andreas Steege Germany 19 436 1.4× 256 1.3× 107 0.7× 51 0.4× 84 0.7× 38 1.0k

Countries citing papers authored by Yuan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Wu. A scholar is included among the top collaborators of Yuan Wu 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 Yuan Wu. Yuan Wu 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.
Luo, Wenjing, Yiying Huang, Yi Du, et al.. (2025). External validation of the MOG-AR score for predicting post-attack relapse risk in a chinese cohort with MOGAD. Multiple Sclerosis and Related Disorders. 104. 106829–106829.
3.
Chen, Zhangwei, Danbo Lu, Yuan Wu, et al.. (2023). Quantitative Profiling of Serum Carnitines Facilitates the Etiology Diagnosis and Prognosis Prediction in Heart Failure. Molecules. 28(14). 5345–5345. 5 indexed citations
5.
Li, Xi, Kefei Dou, Weixian Yang, et al.. (2021). Optimal Heart Team Protocol to Improve Revascularization Decisions in Patients with Complex Coronary Artery Disease: A Sequential Mixed Method Study. European Heart Journal - Quality of Care and Clinical Outcomes. 8(7). 739–749. 6 indexed citations
6.
Zhou, You, Zhangwei Chen, Ao Chen, et al.. (2021). Association between the magnitude of periprocedural myocardial injury and prognosis in patients undergoing elective percutaneous coronary intervention. European Heart Journal - Quality of Care and Clinical Outcomes. 8(8). 871–880. 5 indexed citations
7.
Zhou, You, Zhangwei Chen, Jiaqi Ma, et al.. (2020). Incidence, predictors and clinical significance of periprocedural myocardial injury in patients undergoing elective percutaneous coronary intervention. Journal of Cardiology. 76(3). 309–316. 20 indexed citations
8.
Zhang, Peipei, Zhangwei Chen, Danbo Lu, et al.. (2020). Overexpression of COX5A protects H9c2 cells against doxorubicin-induced cardiotoxicity. Biochemical and Biophysical Research Communications. 524(1). 43–49. 18 indexed citations
9.
Dong, Le, Qi Huang, Yuhan Liao, et al.. (2019). Multiple functional therapeutic effects of DL-3-n-butylphthalide in the cuprizone model of demyelination. Life Sciences. 232. 116501–116501. 4 indexed citations
10.
Fan, Mengkang, Yin Huang, Zhangwei Chen, et al.. (2019). Efficacy of mesenchymal stem cell therapy in systolic heart failure: a systematic review and meta-analysis. Stem Cell Research & Therapy. 10(1). 150–150. 42 indexed citations
11.
Fan, Mengkang, Yin Huang, Zhangwei Chen, et al.. (2019). Correction to: Efficacy of mesenchymal stem cell therapy in systolic heart failure: a systematic review and meta-analysis. Stem Cell Research & Therapy. 10(1). 206–206. 2 indexed citations
12.
Huang, Qi, et al.. (2017). P38 MAPK pathway mediates cognitive damage in pentylenetetrazole-induced epilepsy via apoptosis cascade. Epilepsy Research. 133. 89–92. 22 indexed citations
13.
Li, Qing, et al.. (2015). A new species of Terriera (Rhytismatales, Ascomycota) on Photinia villosa. Mycotaxon. 130(1). 27–31. 6 indexed citations
14.
Wu, Yuan, Qi Huang, Xixia Liu, & Xing Wei. (2015). Dl-3-n-butylphthalide is effective for demyelination: A case-combined study. Clinical Neurology and Neurosurgery. 137. 83–88. 7 indexed citations
15.
Tang, Xiaofang, Yaling Han, Jiahui Zhang, et al.. (2015). Comparing of Light Transmittance Aggregometry and Modified Thrombelastograph in Predicting Clinical Outcomes in Chinese Patients Undergoing Coronary Stenting with Clopidogrel. Chinese Medical Journal. 128(6). 774–779. 15 indexed citations
16.
Zhang, Jiahui, Xiaofang Tang, Yin Zhang, et al.. (2014). Relationship Between ABCB1 Polymorphisms, Thromboelastography and Risk of Bleeding Events in Clopidogrel-Treated Patients With ST-Elevation Myocardial Infarction. Thrombosis Research. 134(5). 970–975. 25 indexed citations
17.
18.
Wu, Yuan, Xuefeng Wang, Xuean Mo, et al.. (2011). Expression of Laminin β1 and Integrin α2 in the Anterior Temporal Neocortex Tissue of Patients With Intractable Epilepsy. International Journal of Neuroscience. 121(6). 323–328. 15 indexed citations
19.
Wu, Yuan, Yun Feng, Mei San Tang, et al.. (2009). STUDY ON EXPRESSION OF LAMININ IN PATIENTS WITH INTRACTABLE EPILEPSY. International Journal of Neuroscience. 119(12). 2219–2227. 3 indexed citations
20.
Chen, Ji‐Lin, Yuejin Yang, Xue‐Wen Qin, et al.. (2003). [Complications in selective coronary angiography: analysis of 9196 cases].. PubMed. 83(2). 91–5. 8 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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