Fengquan Dong

874 total citations
25 papers, 628 citations indexed

About

Fengquan Dong is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Fengquan Dong has authored 25 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 7 papers in Molecular Biology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Fengquan Dong's work include Phonocardiography and Auscultation Techniques (5 papers), Viral Infections and Immunology Research (4 papers) and ECG Monitoring and Analysis (2 papers). Fengquan Dong is often cited by papers focused on Phonocardiography and Auscultation Techniques (5 papers), Viral Infections and Immunology Research (4 papers) and ECG Monitoring and Analysis (2 papers). Fengquan Dong collaborates with scholars based in China, Germany and United Kingdom. Fengquan Dong's co-authors include Sophie Van Linthout, Kathleen Pappritz, Carsten Tschöpe, Björn W. Schuller, Kun Qian, Muhammad El‐Shafeey, Kapka Miteva, Jochen Ringe, Zhao Ren and Yoshiharu Yamamoto and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Fengquan Dong

25 papers receiving 616 citations

Peers

Fengquan Dong
A Ando Japan
Urška Cvek United States
Jiyong Wu China
Marjan Trutschl United States
Hagit Shatkay United States
Shulin Wu China
Xueli Li China
Julia Weng Taiwan
Ling Yuan China
A Ando Japan
Fengquan Dong
Citations per year, relative to Fengquan Dong Fengquan Dong (= 1×) peers A Ando

Countries citing papers authored by Fengquan Dong

Since Specialization
Citations

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

Fields of papers citing papers by Fengquan Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengquan Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Fengquan Dong. A scholar is included among the top collaborators of Fengquan Dong 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 Fengquan Dong. Fengquan Dong 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.
Qian, Kun, Fengquan Dong, Maximilian Schmitt, et al.. (2023). Learning Representations from Heart Sound: A Comparative Study on Shallow and Deep Models. SHILAP Revista de lepidopterología. 5. 75–75. 24 indexed citations
2.
Ren, Zhao, Kun Qian, Fengquan Dong, et al.. (2022). Deep attention-based neural networks for explainable heart sound classification. SHILAP Revista de lepidopterología. 9. 100322–100322. 39 indexed citations
3.
Dong, Fengquan, et al.. (2022). Cryo-EM structure studies of the human VPS10 domain-containing receptor SorCS3. Biochemical and Biophysical Research Communications. 624. 89–94. 1 indexed citations
4.
Huang, Xin, Fengquan Dong, Jing Shi, et al.. (2022). Cryo-EM structure shows how two IGF1 hormones bind to the human IGF1R receptor. Biochemical and Biophysical Research Communications. 636(Pt 1). 121–124. 2 indexed citations
5.
Pappritz, Kathleen, Fengquan Dong, Kapka Miteva, et al.. (2021). Impact of Syndecan-2-Selected Mesenchymal Stromal Cells on the Early Onset of Diabetic Cardiomyopathy in Diabetic db/db Mice. Frontiers in Cardiovascular Medicine. 8. 632728–632728. 4 indexed citations
6.
Pappritz, Kathleen, Oliver Klein, Fengquan Dong, et al.. (2020). MALDI‐IMS as a Tool to Determine the Myocardial Response to Syndecan‐2‐Selected Mesenchymal Stromal Cell Application in an Experimental Model of Diabetic Cardiomyopathy. PROTEOMICS - CLINICAL APPLICATIONS. 15(1). e2000050–e2000050. 6 indexed citations
7.
Wang, Hao, Yi Lu, Fengquan Dong, et al.. (2020). In Silico Screening of Potential Spike Glycoprotein Inhibitors of SARS-CoV-2 with Drug Repurposing Strategy. Chinese Journal of Integrative Medicine. 26(9). 663–669. 43 indexed citations
8.
Pappritz, Kathleen, Jana Grune, Oliver Klein, et al.. (2020). Speckle-tracking echocardiography combined with imaging mass spectrometry assesses region-dependent alterations. Scientific Reports. 10(1). 3629–3629. 13 indexed citations
9.
Wu, Minmin, Lili Tang, Bicheng Chen, et al.. (2020). Blockade of the mTOR signaling pathway with rapamycin ameliorates aristolochic acid nephropathy. Experimental and Therapeutic Medicine. 19(4). 2887–2894. 2 indexed citations
10.
Dong, Fengquan, Kun Qian, Zhao Ren, et al.. (2019). Machine Listening for Heart Status Monitoring: Introducing and Benchmarking HSS—The Heart Sounds Shenzhen Corpus. IEEE Journal of Biomedical and Health Informatics. 24(7). 2082–2092. 38 indexed citations
11.
Dong, Fengquan, Baoyi Li, Xiao‐Wan Jin, Xiaozheng Li, & Haiying Li. (2019). New Cu(II)-bearing coordination polymer: Crystal structure, molecular docking, and protective activity on coronary heart disease by reducing ROS production. Journal of Theoretical and Computational Chemistry. 18(7). 1950032–1950032. 1 indexed citations
12.
Schuller, Björn W., Stefan Steidl, Anton Batliner, et al.. (2018). The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats. University of Oulu Repository (University of Oulu). 122–126. 62 indexed citations
13.
Miteva, Kapka, Kathleen Pappritz, Muhammad El‐Shafeey, et al.. (2018). Mesenchymal stromal cells inhibit NLRP3 inflammasome activation in a model of Coxsackievirus B3-induced inflammatory cardiomyopathy. Scientific Reports. 8(1). 2820–2820. 58 indexed citations
14.
Müller, Irene, Kathleen Pappritz, Konstantinos Savvatis, et al.. (2017). CX3CR1 knockout aggravates Coxsackievirus B3-induced myocarditis. PLoS ONE. 12(8). e0182643–e0182643. 31 indexed citations
15.
Miteva, Kapka, Kathleen Pappritz, Muhammad El‐Shafeey, et al.. (2017). Mesenchymal Stromal Cells Modulate Monocytes Trafficking in Coxsackievirus B3-Induced Myocarditis. Stem Cells Translational Medicine. 6(4). 1249–1261. 62 indexed citations
16.
Zhou, Haiyu, Fengquan Dong, Xin-Liang Du, et al.. (2016). Antitumor activities of biscoumarin and dihydropyran derivatives. Bioorganic & Medicinal Chemistry Letters. 26(16). 3876–3880. 47 indexed citations
17.
Shan, Peiren, Weijian Huang, Li Sheng, et al.. (2012). Acute Dysfunction of Mechanical Aortic Valve as Electrocardiographic Mimic of Acute Left Main Coronary Artery Occlusion. The Annals of Thoracic Surgery. 93(4). 1307–1309. 1 indexed citations
18.
Huang, Zhouqing, Fengquan Dong, Sheng Li, et al.. (2012). Berberine-induced inhibition of adipocyte enhancer-binding protein 1 attenuates oxidized low-density lipoprotein accumulation and foam cell formation in phorbol 12-myristate 13-acetate-induced macrophages. European Journal of Pharmacology. 690(1-3). 164–169. 40 indexed citations
19.
Huang, Xiaoyan, Fang Huang, Deye Yang, et al.. (2012). Expression of microRNA‐122 contributes to apoptosis in H9C2 myocytes. Journal of Cellular and Molecular Medicine. 16(11). 2637–2646. 29 indexed citations
20.
Guo, Wei, Chun Zeng, Fengquan Dong, & Wei Lei. (2002). Paclitaxel-induced apoptosis in osteosarcoma cell line U-2 OS.. PubMed. 115(12). 1796–801. 7 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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