Ruo‐Min Di

612 total citations
22 papers, 444 citations indexed

About

Ruo‐Min Di is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ruo‐Min Di has authored 22 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ruo‐Min Di's work include Congenital heart defects research (7 papers), RNA modifications and cancer (5 papers) and Pulmonary Hypertension Research and Treatments (4 papers). Ruo‐Min Di is often cited by papers focused on Congenital heart defects research (7 papers), RNA modifications and cancer (5 papers) and Pulmonary Hypertension Research and Treatments (4 papers). Ruo‐Min Di collaborates with scholars based in China, United States and Switzerland. Ruo‐Min Di's co-authors include Ying‐Jia Xu, Zhongzhou Yang, Yi‐Qing Yang, Xiumei Li, Zai Chang, Qiuting Feng, Shuangshuang Lu, Qing Luan, Xinli Li and Xing‐Biao Qiu and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Biochemical Journal.

In The Last Decade

Ruo‐Min Di

22 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruo‐Min Di China 14 269 153 102 91 40 22 444
Amanda J. Peterson United States 8 147 0.5× 184 1.2× 102 1.0× 61 0.7× 60 1.5× 10 417
Viswanathan Rajagopalan United States 14 224 0.8× 204 1.3× 117 1.1× 46 0.5× 66 1.6× 24 575
Yoshiki Akakabe Japan 10 155 0.6× 144 0.9× 42 0.4× 44 0.5× 77 1.9× 18 429
Andrea Grund Germany 13 231 0.9× 141 0.9× 40 0.4× 48 0.5× 78 1.9× 17 458
Iván Parra‐Izquierdo United States 11 90 0.3× 141 0.9× 66 0.6× 64 0.7× 29 0.7× 18 335
Jiahe Xie China 11 242 0.9× 165 1.1× 72 0.7× 49 0.5× 99 2.5× 14 478
Diederik E. van der Feen Netherlands 10 139 0.5× 180 1.2× 286 2.8× 101 1.1× 55 1.4× 16 435
Gabin Sihn Germany 8 193 0.7× 149 1.0× 26 0.3× 42 0.5× 40 1.0× 10 399
T Okura Japan 9 262 1.0× 158 1.0× 70 0.7× 45 0.5× 62 1.6× 22 515
Qiyuan Xu China 10 114 0.4× 122 0.8× 52 0.5× 153 1.7× 73 1.8× 13 438

Countries citing papers authored by Ruo‐Min Di

Since Specialization
Citations

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

Fields of papers citing papers by Ruo‐Min Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruo‐Min Di. 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 Ruo‐Min Di. The network helps show where Ruo‐Min Di may publish in the future.

Co-authorship network of co-authors of Ruo‐Min Di

This figure shows the co-authorship network connecting the top 25 collaborators of Ruo‐Min Di. A scholar is included among the top collaborators of Ruo‐Min Di 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 Ruo‐Min Di. Ruo‐Min Di 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.
2.
Shi, Hongyu, Yuhan Guo, Chenxi Yang, et al.. (2023). VEZF1 loss-of-function mutation underlying familial dilated cardiomyopathy. European Journal of Medical Genetics. 66(3). 104705–104705. 3 indexed citations
3.
Gu, Jia-Ning, Chenxi Yang, Yuanyuan Ding, et al.. (2023). Identification of BMP10 as a Novel Gene Contributing to Dilated Cardiomyopathy. Diagnostics. 13(2). 242–242. 13 indexed citations
4.
Zhu, Yeqian, Xingxing Kang, Gaofeng Zhang, et al.. (2021). Atrial Arrhythmias in Patients with Severe COVID-19. Cardiology Research and Practice. 2021. 1–7. 9 indexed citations
5.
Guo, Xiaojuan, Xing‐Biao Qiu, Jun Wang, et al.. (2021). PRRX1 Loss‐of‐Function Mutations Underlying Familial Atrial Fibrillation. Journal of the American Heart Association. 10(23). e023517–e023517. 10 indexed citations
6.
Jiang, Mingyang, Han Hu, Ke Zhao, et al.. (2020). The G4 resolvase RHAU modulates mRNA translation and stability to sustain postnatal heart function and regeneration. Journal of Biological Chemistry. 296. 100080–100080. 10 indexed citations
7.
Di, Ruo‐Min, Chenxi Yang, Cuimei Zhao, et al.. (2019). Identification and functional characterization of KLF5 as a novel disease gene responsible for familial dilated cardiomyopathy. European Journal of Medical Genetics. 63(4). 103827–103827. 17 indexed citations
8.
Di, Ruo‐Min, et al.. (2019). Silencing PDK1 limits hypoxia‑induced pulmonary arterial hypertension in mice via the Akt/p70S6K signaling pathway. Experimental and Therapeutic Medicine. 18(1). 699–704. 10 indexed citations
9.
Wang, Juan, Ying‐Jia Xu, Ruogu Li, et al.. (2019). NR2F2 loss‑of‑function mutation is responsible for congenital bicuspid aortic valve. International Journal of Molecular Medicine. 43(4). 1839–1846. 15 indexed citations
10.
Li, Ning, Zhangsheng Wang, Xinhua Wang, et al.. (2018). A SHOX2 loss-of-function mutation underlying familial atrial fibrillation. International Journal of Medical Sciences. 15(13). 1564–1572. 24 indexed citations
11.
Xu, Ying‐Jia, Zhangsheng Wang, Chenxi Yang, et al.. (2018). Identification and Functional Characterization of an ISL1 Mutation Predisposing to Dilated Cardiomyopathy. Journal of Cardiovascular Translational Research. 12(3). 257–267. 14 indexed citations
12.
Ma, Lan, Juan Wang, Li Li, et al.. (2018). ISL1 loss-of-function mutation contributes to congenital heart defects. Heart and Vessels. 34(4). 658–668. 17 indexed citations
13.
Xu, Ying‐Jia, Ruo‐Min Di, Xiumei Li, et al.. (2018). GATA6 loss-of-function mutation contributes to congenital bicuspid aortic valve. Gene. 663. 115–120. 36 indexed citations
14.
Liu, Hua, Ying‐Jia Xu, Ruogu Li, et al.. (2018). HAND2 loss-of-function mutation causes familial dilated cardiomyopathy. European Journal of Medical Genetics. 62(9). 103540–103540. 16 indexed citations
15.
Chen, Fadong, et al.. (2013). [Efficacy and safety of ambrisentan therapy in Chinese patients with pulmonary hypertension].. PubMed. 93(34). 2736–8. 3 indexed citations
16.
Zhao, Qin‐Hua, Fu-Hua Peng, Hong Wei, et al.. (2012). Serum High-Density Lipoprotein Cholesterol Levels as a Prognostic Indicator in Patients With Idiopathic Pulmonary Arterial Hypertension. The American Journal of Cardiology. 110(3). 433–439. 33 indexed citations
17.
Jiang, Xin, Fadong Chen, Rong Jiang, et al.. (2011). [Clinical characteristics and survival of patients with pulmonary veno-occlusive disease].. PubMed. 39(10). 896–900. 1 indexed citations
18.
Zhou, Yanli, Haifeng Zhang, Ruo‐Min Di, et al.. (2010). Increased stromal-cell-derived factor 1 enhances the homing of bone marrow derived mesenchymal stem cells in dilated cardiomyopathy in rats.. PubMed. 123(22). 3282–7. 15 indexed citations
19.
Feng, Qiuting, Ruo‐Min Di, Tao Fang, et al.. (2010). PDK1 Regulates Vascular Remodeling and Promotes Epithelial-Mesenchymal Transition in Cardiac Development. Molecular and Cellular Biology. 30(14). 3711–3721. 48 indexed citations
20.

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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