Dietmar Trenk
- Cardiology and Cardiovascular Medicine top 0.2%
- Surgery top 1%
- Internal Medicine top 0.2%
- Pharmacology top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Franz‐Josef NeumannWillibald HochholzerChristian ValinaHeinz Joachim BüttnerHans-Peter BestehornChristian StratzDominick J. AngiolilloJoseph A. Jakubowski
- Topics
- Antiplatelet Therapy and Cardiovascular Diseases (72 papers)Atrial Fibrillation Management and Outcomes (43 papers)Coronary Interventions and Diagnostics (35 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Dietmar Trenk
154 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Cardiology and Cardiovascular Medicine 4.4k
- Surgery 2.2k
- Internal Medicine 1.1k
- Pharmacology 562
- Endocrinology, Diabetes and Metabolism 562
Countries citing papers authored by Dietmar Trenk
This map shows the geographic impact of Dietmar Trenk'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 Dietmar Trenk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dietmar Trenk more than expected).
Fields of papers citing papers by Dietmar Trenk
This network shows the impact of papers produced by Dietmar Trenk. 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 Dietmar Trenk. The network helps show where Dietmar Trenk may publish in the future.
Co-authorship network of co-authors of Dietmar Trenk
This figure shows the co-authorship network connecting the top 25 collaborators of Dietmar Trenk. A scholar is included among the top collaborators of Dietmar Trenk 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 Dietmar Trenk. Dietmar Trenk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 30 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | 11 | |
| 8 | 51 | |
| 9 | 14 | |
| 10 | 46 | |
| 11 | 119 | |
| 12 | 4 | |
| 13 | 245 | |
| 14 | Abstract 2126: CYP2C19 Genetic Variants and Clinical Outcomes With Clopidogrel: A Collaborative Meta-Analysis | 12 |
| 15 | Impact of the Degree of Peri-Interventional Platelet Inhibition After Loading With Clopidogrel on Early Clinical Outcome of Elective Coronary Stent Placementbreakdown → | 470 |
| 16 | 5 | |
| 17 | 8 | |
| 18 | 13 | |
| 19 | 9 | |
| 20 | 6 |
About Dietmar Trenk
Dietmar Trenk is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Family Practice, having authored 161 papers that have together received 5.3k indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (72 papers), Atrial Fibrillation Management and Outcomes (43 papers) and Coronary Interventions and Diagnostics (35 papers). The work is most often cited by research in Internal Medicine (1.1k citations), Cardiology and Cardiovascular Medicine (4.4k citations) and Surgery (2.2k citations). Dietmar Trenk has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Franz‐Josef Neumann, Willibald Hochholzer, Christian Valina, Heinz Joachim Büttner, Hans-Peter Bestehorn, Christian Stratz, Dominick J. Angiolillo, Joseph A. Jakubowski, E. Jähnchen and Martin F. Fromm. Their work appears in journals such as Circulation, Annals of Internal Medicine and Journal of the American College 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.