Song Gu
- Internal Medicine top 10%
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- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 4
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- Cardiac Valve Diseases and Treatments 5
- Cardiac, Anesthesia and Surgical Outcomes 4
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- Pulmonary Hypertension Research and Treatments 11
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- Cardiac and Coronary Surgery Techniques 6
- Coronary Interventions and Diagnostics 4
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- Circular RNAs in diseases 5
- Co-authors
- Pixiong SuJun YanJie GaoChen WangJian ZhouYan LiuYuanhua YangHui‐Li Gan
- Journals
- PLoS ONE (1 paper)World Journal of Gastroenterology (1 paper)American Journal of Physiology-Lung Cellular and Molecular Physiology (1 paper)
- Partner nations
- ChinaMyanmarUnited States
In The Last Decade
Song Gu
35 papers receiving 387 citations
Peers
Comparison fields: 5 of 57
- Internal Medicine 33
- Cancer Research 116
- Cardiology and Cardiovascular Medicine 150
- Pulmonary and Respiratory Medicine 161
- Critical Care and Intensive Care Medicine 15
Countries citing papers authored by Song Gu
This map shows the geographic impact of Song Gu'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 Song Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Gu more than expected).
Fields of papers citing papers by Song Gu
This network shows the impact of papers produced by Song Gu. 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 Song Gu. The network helps show where Song Gu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Song Gu, 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 | 2024 | 6 | |
| 2 | 2023 | 9 | |
| 3 | 2021 | 3 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 6 | |
| 6 | 2020 | 3 | |
| 7 | 2017 | 1 | |
| 8 | 2017 | 24 | |
| 9 | 2017 | 18 | |
| 10 | 2016 | 1 | |
| 11 | 2015 | 10 | |
| 12 | 2014 | 34 | |
| 13 | 2014 | 2 | |
| 14 | 2014 | 55 | |
| 15 | 2013 | 4 | |
| 16 | 2013 | 22 | |
| 17 | 2013 | 9 | |
| 18 | 2011 | 2 | |
| 19 | Low-dose amiodarone for the prevention of atrial fibrillation after coronary artery bypass grafting in patients older than 70 years. | 2009 | 15 |
| 20 | 2004 | 5 |
About Song Gu
Song Gu is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Internal Medicine, having authored 35 papers that have together received 389 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (11 papers), Cardiac and Coronary Surgery Techniques (6 papers), Cardiac Valve Diseases and Treatments (5 papers), Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (4 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers), Coronary Interventions and Diagnostics (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Internal Medicine (33 citations), Cancer Research (116 citations) and Cardiology and Cardiovascular Medicine (150 citations). Song Gu has collaborated with scholars based in China, Myanmar and United States. Frequent co-authors include Pixiong Su, Jun Yan, Jie Gao, Chen Wang, Jian Zhou, Yan Liu, Yuanhua Yang, Hui‐Li Gan, Lijuan Guo and Jifeng Li. Their work appears in journals such as PLoS ONE, World Journal of Gastroenterology and American Journal of Physiology-Lung Cellular and Molecular Physiology.
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.