Jun Gu
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- Cardiovascular Function and Risk Factors 15
- Atrial Fibrillation Management and Outcomes 10
- Heart Failure Treatment and Management 9
- Cardiac Arrhythmias and Treatments 8
- Cardiac electrophysiology and arrhythmias 4
- Cardiac pacing and defibrillation studies 3
- Developmental Neuroscience top 10%
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- Diabetes Treatment and Management 8
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- Cardiac Imaging and Diagnostics 3
- Co-authors
- Changqian WangJunfeng ZhangYuqi FanJianan PanLi ZhouHao LinXu LiuWeifeng Jiang
- Cited by
- Cardiology and Cardiovascular MedicineDevelopmental NeuroscienceEndocrinology, Diabetes and Metabolism
- Journals
- International Journal of Cardiology (5 papers)ESC Heart Failure (3 papers)Journal of Cardiovascular Electrophysiology (2 papers)
- Partner nations
- ChinaItalyUnited Kingdom
In The Last Decade
Jun Gu
43 papers receiving 776 citations
Peers
Comparison fields: 5 of 81
- Cardiology and Cardiovascular Medicine 415
- Developmental Neuroscience 45
- Endocrinology, Diabetes and Metabolism 138
- Nephrology 35
- Internal Medicine 18
Countries citing papers authored by Jun Gu
This map shows the geographic impact of Jun 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 Jun Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Gu more than expected).
Fields of papers citing papers by Jun Gu
This network shows the impact of papers produced by Jun 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 Jun Gu. The network helps show where Jun Gu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 2 | |
| 5 | 2022 | 4 | |
| 6 | 2021 | 5 | |
| 7 | 2020 | 2 | |
| 8 | 2020 | 12 | |
| 9 | 2020 | 2 | |
| 10 | 2019 | 26 | |
| 11 | 2019 | 22 | |
| 12 | 2019 | 32 | |
| 13 | 2018 | 26 | |
| 14 | 2018 | 40 | |
| 15 | 2017 | 28 | |
| 16 | 2016 | 19 | |
| 17 | 2016 | 15 | |
| 18 | 2014 | 1 | |
| 19 | 2012 | 13 | |
| 20 | 2012 | 40 |
About Jun Gu
Jun Gu is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Nephrology, Internal Medicine and Developmental Neuroscience, having authored 43 papers that have together received 785 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (15 papers), Atrial Fibrillation Management and Outcomes (10 papers), Heart Failure Treatment and Management (9 papers), Cardiac Arrhythmias and Treatments (8 papers), Diabetes Treatment and Management (8 papers), Cardiac electrophysiology and arrhythmias (4 papers), Cardiac pacing and defibrillation studies (3 papers) and Cardiac Imaging and Diagnostics (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (415 citations), Developmental Neuroscience (45 citations), Endocrinology, Diabetes and Metabolism (138 citations), Nephrology (35 citations) and Internal Medicine (18 citations). Jun Gu has collaborated with scholars based in China, Italy and United Kingdom. Frequent co-authors include Changqian Wang, Junfeng Zhang, Yuqi Fan, Jianan Pan, Li Zhou, Hao Lin, Xu Liu, Weifeng Jiang, Zhaofang Yin and Yugang Liu. Their work appears in journals such as International Journal of Cardiology, ESC Heart Failure, Journal of Cardiovascular Electrophysiology, Frontiers in Cardiovascular Medicine 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.