Daniela Seidinger
Impact in
- Internal Medicine top 2%
- Venous Thromboembolism Diagnosis and Management
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- Antiplatelet Therapy and Cardiovascular Diseases
- Atrial Fibrillation Management and Outcomes
- Acute Myocardial Infarction Research
Papers in
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- Antiplatelet Therapy and Cardiovascular Diseases 22
- Atrial Fibrillation Management and Outcomes 3
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- Angiogenesis and VEGF in Cancer 7
- Co-authors
- Sabine Steiner (39 shared papers)Christoph Kopp (33 shared papers)Renate Koppensteiner (28 shared papers)Thomas Gremmel (24 shared papers)Simon Panzer (22 shared papers)Kurt Huber (7 shared papers)Erich Minar (9 shared papers)Johann Wojta (5 shared papers)
In The Last Decade
Daniela Seidinger
42 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 82
- Internal Medicine 198
- Cardiology and Cardiovascular Medicine 784
- Hematology 174
- Surgery 349
- Immunology 169
Countries citing papers authored by Daniela Seidinger
This map shows the geographic impact of Daniela Seidinger'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 Daniela Seidinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Seidinger more than expected).
Fields of papers citing papers by Daniela Seidinger
This network shows the impact of papers produced by Daniela Seidinger. 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 Daniela Seidinger. The network helps show where Daniela Seidinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Seidinger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 228 | |
| 2 | 2005 | 193 | |
| 3 | 2006 | 125 | |
| 4 | 2011 | 113 | |
| 5 | 2005 | 113 | |
| 6 | 2009 | 101 | |
| 7 | 2013 | 98 | |
| 8 | 2009 | 94 | |
| 9 | 2005 | 77 | |
| 10 | 2009 | 59 | |
| 11 | 2009 | 51 | |
| 12 | 2010 | 47 | |
| 13 | 2011 | 45 | |
| 14 | 2003 | 43 | |
| 15 | 2003 | 42 | |
| 16 | 2011 | 41 | |
| 17 | 2011 | 32 | |
| 18 | 2011 | 32 | |
| 19 | 2011 | 30 | |
| 20 | 2010 | 30 |
About Daniela Seidinger
Daniela Seidinger is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Internal Medicine, Hematology and Pulmonary and Respiratory Medicine, having authored 43 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (22 papers), Angiogenesis and VEGF in Cancer (7 papers), Venous Thromboembolism Diagnosis and Management (6 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Platelet Disorders and Treatments (4 papers), Atrial Fibrillation Management and Outcomes (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Inflammatory mediators and NSAID effects (2 papers). The work is most often cited by research in Internal Medicine (198 citations), Cardiology and Cardiovascular Medicine (784 citations), Hematology (174 citations), Surgery (349 citations) and Immunology (169 citations). Daniela Seidinger has collaborated with scholars based in Austria, Germany and Norway. Frequent co-authors include Sabine Steiner, Christoph Kopp, Renate Koppensteiner, Thomas Gremmel, Simon Panzer, Kurt Huber, Erich Minar, Johann Wojta, Michael Wolzt and Johannes Pleiner. Their work appears in journals such as Atherosclerosis, Thrombosis Research, Circulation, Platelets and International Journal of 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.