Weng‐Tein Gi
Impact in
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- Cardiomyopathy and Myosin Studies
- Acute Myocardial Infarction Research
- Cardiovascular Function and Risk Factors
- Cardiovascular Effects of Exercise
- Cardiac electrophysiology and arrhythmias
Papers in
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- Cardiomyopathy and Myosin Studies 5
- Acute Myocardial Infarction Research 2
- Viral Infections and Immunology Research 2
- Cardiac Arrhythmias and Treatments 1
- Surgery 3
- Cardiac Structural Anomalies and Repair 2
- Coronary Interventions and Diagnostics 1
- Co-authors
- Hugo A. Katus (9 shared papers)Benjamin Meder (9 shared papers)Farbod Sedaghat‐Hamedani (9 shared papers)Elham Kayvanpour (9 shared papers)Jan Haas (5 shared papers)Philipp Ehlermann (2 shared papers)Ali Amr (3 shared papers)Feng Zhu (1 shared paper)
- Journals
- Journal of Clinical Medicine (2 papers)ESC Heart Failure (2 papers)Heart (1 paper)Journal of Molecular and Cellular Cardiology (1 paper)Clinical Research in Cardiology (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Weng‐Tein Gi
10 papers receiving 145 citations
Peers
Comparison fields: 5 of 30
- Cardiology and Cardiovascular Medicine 116
- Health Informatics 2
- Radiology, Nuclear Medicine and Imaging 27
- Genetics 11
- Cancer Research 11
Countries citing papers authored by Weng‐Tein Gi
This map shows the geographic impact of Weng‐Tein Gi'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 Weng‐Tein Gi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weng‐Tein Gi more than expected).
Fields of papers citing papers by Weng‐Tein Gi
This network shows the impact of papers produced by Weng‐Tein Gi. 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 Weng‐Tein Gi. The network helps show where Weng‐Tein Gi may publish in the future.
Co-authors
The 25 scholars most cited alongside Weng‐Tein Gi, 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 | 2019 | 48 | |
| 2 | 2020 | 30 | |
| 3 | 2020 | 24 | |
| 4 | 2020 | 18 | |
| 5 | 2020 | 10 | |
| 6 | 2019 | 8 | |
| 7 | 2020 | 5 | |
| 8 | 2020 | 3 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 1 |
About Weng‐Tein Gi
Weng‐Tein Gi is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Genetics and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 148 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (5 papers), Acute Myocardial Infarction Research (2 papers), Cardiac Structural Anomalies and Repair (2 papers), Viral Infections and Immunology Research (2 papers), Coronary Interventions and Diagnostics (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper), Galectins and Cancer Biology (1 paper) and Cardiac Arrhythmias and Treatments (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (116 citations), Health Informatics (2 citations), Radiology, Nuclear Medicine and Imaging (27 citations), Genetics (11 citations) and Cancer Research (11 citations). Weng‐Tein Gi has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Hugo A. Katus, Benjamin Meder, Farbod Sedaghat‐Hamedani, Elham Kayvanpour, Jan Haas, Philipp Ehlermann, Ali Amr, Feng Zhu, Lorenz Uhlmann and Evangelos Giannitsis. Their work appears in journals such as Journal of Clinical Medicine, ESC Heart Failure, Heart, Journal of Molecular and Cellular Cardiology and Clinical Research in Cardiology.
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.