Roumu Hu

441 total citations
11 papers, 317 citations indexed

About

Roumu Hu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Roumu Hu has authored 11 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 4 papers in Molecular Biology and 1 paper in Infectious Diseases. Recurrent topics in Roumu Hu's work include Atrial Fibrillation Management and Outcomes (4 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Cardiovascular Function and Risk Factors (2 papers). Roumu Hu is often cited by papers focused on Atrial Fibrillation Management and Outcomes (4 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Cardiovascular Function and Risk Factors (2 papers). Roumu Hu collaborates with scholars based in China and United States. Roumu Hu's co-authors include Yuanfeng Gao, Xiaoyan Liu, Mulei Chen, Xinchun Yang, Kun Zuo, Kuibao Li, Jiuchang Zhong, Chaowei Hu, Jing Li and Hongjie Chi and has published in prestigious journals such as Medicine, Journal of Cardiovascular Electrophysiology and Evidence-based Complementary and Alternative Medicine.

In The Last Decade

Roumu Hu

11 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roumu Hu China 8 231 89 78 51 28 11 317
Tisha Suboc United States 7 122 0.5× 98 1.1× 90 1.2× 43 0.8× 33 1.2× 29 327
Bingbing Ke China 5 174 0.8× 83 0.9× 84 1.1× 27 0.5× 22 0.8× 16 277
Cristiane C.K. Mayerhofer Norway 6 214 0.9× 44 0.5× 131 1.7× 53 1.0× 19 0.7× 6 262
Ayodeji Awoyemi Norway 7 152 0.7× 43 0.5× 97 1.2× 44 0.9× 16 0.6× 11 213
Xiandong Yin China 13 233 1.0× 326 3.7× 76 1.0× 80 1.6× 19 0.7× 25 541
Friederike Zimmermann Germany 4 214 0.9× 33 0.4× 145 1.9× 17 0.3× 33 1.2× 7 286
Franziska Bayer Germany 9 125 0.5× 68 0.8× 63 0.8× 18 0.4× 9 0.3× 12 257
Claire Maynard United Kingdom 7 145 0.6× 49 0.6× 70 0.9× 22 0.4× 10 0.4× 10 349
William Van Der Pol United States 10 191 0.8× 19 0.2× 98 1.3× 36 0.7× 30 1.1× 16 382
Xianlun Yin China 5 218 0.9× 14 0.2× 114 1.5× 36 0.7× 35 1.3× 8 318

Countries citing papers authored by Roumu Hu

Since Specialization
Citations

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

Fields of papers citing papers by Roumu Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roumu Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Roumu Hu. A scholar is included among the top collaborators of Roumu Hu 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 Roumu Hu. Roumu Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
3.
Gao, Yuanfeng, Ye Liu, Yuan Fu, et al.. (2021). The potential regulatory role of hsa_circ_0004104 in the persistency of atrial fibrillation by promoting cardiac fibrosis via TGF-β pathway. BMC Cardiovascular Disorders. 21(1). 25–25. 19 indexed citations
4.
Wang, Siyu, Yuanfeng Gao, Lei Zhao, et al.. (2021). Shortened leukocyte telomere length as a potential biomarker for predicting the progression of atrial fibrillation from paroxysm to persistence in the short-term. Medicine. 100(23). e26020–e26020. 6 indexed citations
5.
Hu, Chaowei, Kun Zuo, Kuibao Li, et al.. (2020). p38/JNK Is Required for the Proliferation and Phenotype Changes of Vascular Smooth Muscle Cells Induced by L3MBTL4 in Essential Hypertension. International Journal of Hypertension. 2020. 1–12. 7 indexed citations
6.
Li, Shichao, Yuanfeng Gao, Ye Liu, et al.. (2020). Myofibroblast-Derived Exosomes Contribute to Development of a Susceptible Substrate for Atrial Fibrillation. Cardiology. 145(5). 324–332. 26 indexed citations
7.
Liu, Zheng, Yuanfeng Gao, Ye Liu, et al.. (2019). Study on the relationship between telomere length changes and recurrence of atrial fibrillation after radiofrequency catheter ablation. Journal of Cardiovascular Electrophysiology. 30(7). 1117–1124. 14 indexed citations
8.
Zuo, Kun, Jing Li, Qiuhua Xu, et al.. (2019). Dysbiotic gut microbes may contribute to hypertension by limiting vitamin D production. Clinical Cardiology. 42(8). 710–719. 49 indexed citations
9.
Zuo, Kun, Jing Li, Kuibao Li, et al.. (2019). Disordered gut microbiota and alterations in metabolic patterns are associated with atrial fibrillation. GigaScience. 8(6). 163 indexed citations
10.
Hu, Roumu, et al.. (2014). Gene Expression Profile of Increased Heart Rate in Shensongyangxin‐Treated Bradycardia Rabbits. Evidence-based Complementary and Alternative Medicine. 2014(1). 715937–715937. 7 indexed citations
11.
Yu, Haiyun, et al.. (2013). Comparison of read-through effects of aminoglycosides and PTC124 on rescuing nonsense mutations of HERG gene associated with long QT syndrome. International Journal of Molecular Medicine. 33(3). 729–735. 23 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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