Viktoria Weixler
- Epidemiology
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Pulmonary and Respiratory Medicine
- Biomedical Engineering
- Co-authors
- Pedro J. del NidoMossab Y. SaeedAlvise GuarientoIlias P. DoulamisIngeborg FriehsPierre E. DupontJohn E. MayerZurab Machaidze
- Topics
- Congenital Heart Disease Studies (19 papers)Cardiac Valve Diseases and Treatments (9 papers)Cardiac Structural Anomalies and Repair (9 papers)
- Journals
- Scientific ReportsJournal of Thoracic and Cardiovascular SurgeryAmerican Journal of Physiology-Renal Physiology
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Viktoria Weixler
30 papers receiving 474 citations
Peers
Comparison fields: 5 of 71
- Epidemiology 194
- Cardiology and Cardiovascular Medicine 181
- Surgery 160
- Pulmonary and Respiratory Medicine 127
- Biomedical Engineering 120
Countries citing papers authored by Viktoria Weixler
This map shows the geographic impact of Viktoria Weixler'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 Viktoria Weixler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viktoria Weixler more than expected).
Fields of papers citing papers by Viktoria Weixler
This network shows the impact of papers produced by Viktoria Weixler. 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 Viktoria Weixler. The network helps show where Viktoria Weixler may publish in the future.
Co-authorship network of co-authors of Viktoria Weixler
This figure shows the co-authorship network connecting the top 25 collaborators of Viktoria Weixler. A scholar is included among the top collaborators of Viktoria Weixler 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 Viktoria Weixler. Viktoria Weixler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 77 | |
| 11 | 26 | |
| 12 | 72 | |
| 13 | 12 | |
| 14 | 3 | |
| 15 | 105 | |
| 16 | 22 | |
| 17 | 6 | |
| 18 | 11 | |
| 19 | 1 | |
| 20 | 4 |
About Viktoria Weixler
Viktoria Weixler is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Surgery, having authored 33 papers that have together received 481 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (19 papers), Cardiac Valve Diseases and Treatments (9 papers) and Cardiac Structural Anomalies and Repair (9 papers). The work is most often cited by research in Health Informatics (12 citations), Cardiology and Cardiovascular Medicine (181 citations) and Epidemiology (194 citations). Viktoria Weixler has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Pedro J. del Nido, Mossab Y. Saeed, Alvise Guariento, Ilias P. Doulamis, Ingeborg Friehs, Pierre E. Dupont, John E. Mayer, Zurab Machaidze, Karl Price and Benoît Rosa. Their work appears in journals such as Scientific Reports, Journal of Thoracic and Cardiovascular Surgery and American Journal of Physiology-Renal 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.