Hai-Hua Geng

681 total citations
20 papers, 554 citations indexed

About

Hai-Hua Geng is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Hai-Hua Geng has authored 20 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Cardiology and Cardiovascular Medicine and 8 papers in Cancer Research. Recurrent topics in Hai-Hua Geng's work include MicroRNA in disease regulation (5 papers), Coronary Interventions and Diagnostics (4 papers) and Cardiac Imaging and Diagnostics (3 papers). Hai-Hua Geng is often cited by papers focused on MicroRNA in disease regulation (5 papers), Coronary Interventions and Diagnostics (4 papers) and Cardiac Imaging and Diagnostics (3 papers). Hai-Hua Geng collaborates with scholars based in China, Thailand and Bangladesh. Hai-Hua Geng's co-authors include Min Pan, Yamin Su, Xiaoping Ji, Jie Xiao, Xingxing Cai, Rui Li, Rui Li, Mao Yang, Fu Wang and Junhui Xing and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Scientific Reports.

In The Last Decade

Hai-Hua Geng

20 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hai-Hua Geng China 9 444 354 94 55 28 20 554
Yuting Zhuang China 9 336 0.8× 224 0.6× 112 1.2× 66 1.2× 20 0.7× 10 450
Shinichi Mitsuyama Japan 8 386 0.9× 188 0.5× 203 2.2× 58 1.1× 23 0.8× 13 561
Shimin Dong China 9 523 1.2× 507 1.4× 92 1.0× 78 1.4× 56 2.0× 12 714
Akshar Patel United States 10 409 0.9× 203 0.6× 227 2.4× 95 1.7× 41 1.5× 19 693
Ruibei Li United States 7 367 0.8× 274 0.8× 114 1.2× 56 1.0× 18 0.6× 8 544
Boqian Zhu China 11 213 0.5× 145 0.4× 46 0.5× 35 0.6× 21 0.8× 23 342
Pujiao Yu China 12 418 0.9× 190 0.5× 179 1.9× 60 1.1× 21 0.8× 16 573
Yujia Yue United States 5 265 0.6× 131 0.4× 115 1.2× 56 1.0× 41 1.5× 7 383
Michail Spanos United States 11 234 0.5× 119 0.3× 85 0.9× 29 0.5× 18 0.6× 31 396
Shengguang Ding China 12 314 0.7× 231 0.7× 60 0.6× 36 0.7× 19 0.7× 23 433

Countries citing papers authored by Hai-Hua Geng

Since Specialization
Citations

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

Fields of papers citing papers by Hai-Hua Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai-Hua Geng. 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 Hai-Hua Geng. The network helps show where Hai-Hua Geng may publish in the future.

Co-authorship network of co-authors of Hai-Hua Geng

This figure shows the co-authorship network connecting the top 25 collaborators of Hai-Hua Geng. A scholar is included among the top collaborators of Hai-Hua Geng 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 Hai-Hua Geng. Hai-Hua Geng 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.
Zhang, Qingquan, Mengkang Fan, Xueyan Cao, et al.. (2022). Integrated Bioinformatics Algorithms and Experimental Validation to Explore Robust Biomarkers and Landscape of Immune Cell Infiltration in Dilated Cardiomyopathy. Frontiers in Cardiovascular Medicine. 9. 809470–809470. 6 indexed citations
3.
Liu, Wenxin, Xintao Deng, Yamin Su, Hai-Hua Geng, & Min Pan. (2021). Effect of Gypenosides on Myocardial Ischemia- Reperfusion Injury and its Mechanism.. PubMed. 42(1). 22–27. 1 indexed citations
4.
Geng, Hai-Hua, Yamin Su, Rong Huang, et al.. (2021). Specific protein 1 inhibitor mithramycin A protects cardiomyocytes from myocardial infarction via interacting with PARP. In Vitro Cellular & Developmental Biology - Animal. 57(3). 315–323. 5 indexed citations
5.
Su, Yamin, Rui Zhang, Yangyang Qu, et al.. (2020). N-methyladenosine methyltransferase plays a role in hypoxic preconditioning partially through the interaction with lncRNA H19. Acta Biochimica et Biophysica Sinica. 52(12). 1306–1315. 24 indexed citations
6.
7.
8.
Geng, Hai-Hua, et al.. (2019). Effects of Polymorphisms in Pre-miRNA on Inflammatory Markers in Atrial Fibrillation in Han Chinese. Clinical Laboratory. 65(07/2019). 2 indexed citations
9.
Yang, Xiangjun, Min Pan, Jianhui Sun, et al.. (2018). Apixaban attenuates ischemia-induced myocardial fibrosis by inhibition of Gq/PKC signaling. Biochemical and Biophysical Research Communications. 500(3). 550–556. 8 indexed citations
10.
Geng, Hai-Hua, Rui Li, Yamin Su, et al.. (2016). Curcumin protects cardiac myocyte against hypoxia-induced apoptosis through upregulating miR-7a/b expression. Biomedicine & Pharmacotherapy. 81. 258–264. 29 indexed citations
11.
Geng, Hai-Hua, Rui Li, Yamin Su, et al.. (2016). The Circular RNA Cdr1as Promotes Myocardial Infarction by Mediating the Regulation of miR-7a on Its Target Genes Expression. PLoS ONE. 11(3). e0151753–e0151753. 326 indexed citations
12.
Li, Rui, Hai-Hua Geng, Jie Xiao, et al.. (2016). miR-7a/b attenuates post-myocardial infarction remodeling and protects H9c2 cardiomyoblast against hypoxia-induced apoptosis involving Sp1 and PARP-1. Scientific Reports. 6(1). 29082–29082. 67 indexed citations
13.
Su, Yamin, Xingxing Cai, Hai-Hua Geng, et al.. (2015). Clinical Outcomes of Revascularization Strategies for Patients With MVD/LMCA Disease. Medicine. 94(42). e1745–e1745. 4 indexed citations
14.
Su, Yamin, et al.. (2015). In-hospital clinical outcomes of elderly patients (≥60 years) undergoing primary percutaneous coronary intervention.. PubMed. 8(7). 11244–51. 2 indexed citations
15.
Geng, Hai-Hua, Rui Li, Yamin Su, et al.. (2014). A functional single-nucleotide polymorphism in interleukin-6 promoter is associated with p wave dispersion in hypertensive subjects with atrial fibrillation.. PubMed. 7(11). 4434–40. 9 indexed citations
16.
Su, Yamin, et al.. (2014). GW25-e0274 A polymorphism rs11614913 in pre-microRNAs may be associated with atrial fibrillation in Han Chinese population. Journal of the American College of Cardiology. 64(16). C47–C48. 1 indexed citations
17.
Li, Gang�, et al.. (2014). GW25-e0097 Interleukin-6 promoter polymorphism is associated with P wave dispersion in hypertensive subjects with atrial fibrillation. Journal of the American College of Cardiology. 64(16). C168–C168. 1 indexed citations
18.
Wang, Ying, Gang Li, Yamin Su, et al.. (2014). Interleukin-6 promotor polymorphisms and coronary vasospastic angina in Han Chinese.. PubMed. 7(9). 2858–64. 4 indexed citations
19.
Pan, Min, Hai-Hua Geng, Hui Chen, et al.. (2008). Apolipoprotein E polymorphism in normal Han Chinese population: frequency and effect on lipid parameters. Molecular Biology Reports. 36(6). 1251–1256. 29 indexed citations
20.
Pan, Min, et al.. (2008). Association of Angiotensin-Converting Enzyme Gene 2350G>A Polymorphism With Myocardial Infarction in a Chinese Population. Clinical and Applied Thrombosis/Hemostasis. 15(4). 435–442. 15 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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