Hai-Hua Geng
- Cancer Research top 5%
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 3
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- Circular RNAs in diseases 3
- RNA regulation and disease 2
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- Acute Myocardial Infarction Research 3
- Antiplatelet Therapy and Cardiovascular Diseases 2
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- Coronary Interventions and Diagnostics 4
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- Cardiac Imaging and Diagnostics 3
- Journals
- Journal of the American College of Cardiology (2 papers)PLoS ONE (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaBangladeshThailand
In The Last Decade
Hai-Hua Geng
20 papers receiving 546 citations
Peers
Comparison fields: 5 of 63
- Cancer Research 354
- Molecular Biology 444
- Cardiology and Cardiovascular Medicine 94
- Molecular Medicine 13
- Immunology 28
Countries citing papers authored by Hai-Hua Geng
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
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
The 25 scholars most cited alongside Hai-Hua Geng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 8 | |
| 2 | 2022 | 6 | |
| 3 | Effect of Gypenosides on Myocardial Ischemia- Reperfusion Injury and its Mechanism. | 2021 | 1 |
| 4 | 2021 | 5 | |
| 5 | 2020 | 24 | |
| 6 | 2019 | 7 | |
| 7 | 2019 | 6 | |
| 8 | 2019 | 2 | |
| 9 | 2018 | 8 | |
| 10 | 2016 | 29 | |
| 11 | 2016 | 326 | |
| 12 | 2016 | 67 | |
| 13 | 2015 | 4 | |
| 14 | In-hospital clinical outcomes of elderly patients (≥60 years) undergoing primary percutaneous coronary intervention. | 2015 | 2 |
| 15 | 2014 | 1 | |
| 16 | 2014 | 1 | |
| 17 | A functional single-nucleotide polymorphism in interleukin-6 promoter is associated with p wave dispersion in hypertensive subjects with atrial fibrillation. | 2014 | 9 |
| 18 | Interleukin-6 promotor polymorphisms and coronary vasospastic angina in Han Chinese. | 2014 | 4 |
| 19 | 2008 | 29 | |
| 20 | 2008 | 15 |
About Hai-Hua Geng
Hai-Hua Geng is a scholar working on Cancer Research, Cardiology and Cardiovascular Medicine and Molecular Medicine, having authored 20 papers that have together received 554 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Coronary Interventions and Diagnostics (4 papers), Cardiac Imaging and Diagnostics (3 papers), Circular RNAs in diseases (3 papers), Cancer-related molecular mechanisms research (3 papers), Acute Myocardial Infarction Research (3 papers), RNA regulation and disease (2 papers) and Antiplatelet Therapy and Cardiovascular Diseases (2 papers). The work is most often cited by research in Cancer Research (354 citations), Molecular Biology (444 citations) and Cardiology and Cardiovascular Medicine (94 citations). Hai-Hua Geng has collaborated with scholars based in China, Bangladesh and Thailand. Frequent co-authors include Min Pan, Yamin Su, Xiaoping Ji, Jie Xiao, Xingxing Cai, Rui Li, Rui Li, Yanfei Xia, Jingwen Liang and Fu Wang. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and Scientific Reports.
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.