Heinz Drexel
- Cardiology and Cardiovascular Medicine top 5%
- Surgery
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Epidemiology
- Co-authors
- Christoph H. SaelyAxel MuendleinJuan TamargoStefan AgewallChristian Torp‐PedersenKathrin GeigerAlexander NiessnerGianluigi Savarese
- Topics
- Diabetes Treatment and Management (9 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers)Chronic Kidney Disease and Diabetes (5 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismInternal Medicine
- Journals
- Journal of the American College of CardiologyPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- AustriaUnited StatesLiechtenstein
In The Last Decade
Heinz Drexel
46 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 104
- Cardiology and Cardiovascular Medicine 454
- Surgery 255
- Endocrinology, Diabetes and Metabolism 238
- Molecular Biology 173
- Epidemiology 140
Countries citing papers authored by Heinz Drexel
This map shows the geographic impact of Heinz Drexel'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 Heinz Drexel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heinz Drexel more than expected).
Fields of papers citing papers by Heinz Drexel
This network shows the impact of papers produced by Heinz Drexel. 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 Heinz Drexel. The network helps show where Heinz Drexel may publish in the future.
Co-authorship network of co-authors of Heinz Drexel
This figure shows the co-authorship network connecting the top 25 collaborators of Heinz Drexel. A scholar is included among the top collaborators of Heinz Drexel 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 Heinz Drexel. Heinz Drexel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 50 | |
| 9 | 15 | |
| 10 | 215 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 90 | |
| 14 | 37 | |
| 15 | 0 | |
| 16 | 19 | |
| 17 | 2 | |
| 18 | 23 | |
| 19 | 3 | |
| 20 | 2 |
About Heinz Drexel
Heinz Drexel is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Family Practice, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Chronic Kidney Disease and Diabetes (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (454 citations), Endocrinology, Diabetes and Metabolism (238 citations) and Internal Medicine (50 citations). Heinz Drexel has collaborated with scholars based in Austria, United States and Liechtenstein. Frequent co-authors include Christoph H. Saely, Axel Muendlein, Juan Tamargo, Stefan Agewall, Christian Torp‐Pedersen, Kathrin Geiger, Alexander Niessner, Gianluigi Savarese, Sven Waßmann and Dan Atar. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.