Thomas Trepels

1.9k citations
16 papers · 1.5k · h-index 9

Impact in

Papers in

Thomas Trepels

16 papers receiving 1.4k citations

Peers

Thomas Trepels
Comparison fields: 5 of 63
  • Cardiology and Cardiovascular Medicine 804
  • Pulmonary and Respiratory Medicine 472
  • Genetics 36
  • Epidemiology 90
  • Psychiatry and Mental health 25
Replace Constadina J. Aggeli with:
Constadina J. Aggeli Greece
Gürkan Acar Türkiye
Felix Fleißner Germany
Vera Paar Austria
Mark Rosenberg Germany
Jayshree Joshi United Kingdom
Rosemarie Salerni United States
Severin Semsroth Austria
Murat Çeli̇k Türkiye
Richard W. B. van Duin Netherlands
Thomas Trepels relative to Constadina J. Aggeli Greece Constadina J. Aggeli's profile →
Citations per field
00.5×2×4×5.6×
Constadina J. Aggeli · 1×
Citations per year

Countries citing papers authored by Thomas Trepels

Since Specialization
Citations

This map shows the geographic impact of Thomas Trepels'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 Thomas Trepels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Trepels more than expected).

Fields of papers citing papers by Thomas Trepels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Trepels. 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 Thomas Trepels. The network helps show where Thomas Trepels may publish in the future.

Co-authors

The 25 scholars most cited alongside Thomas Trepels, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Trepels Line = papers co-authored together Thomas Trepels links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2004461
2 2005348
3 2002335
4 2006107
5 200879
6 200252
7 200849
8 200941
9 200315
10
Acute coronary syndrome and inflammation. Biomarkers for diagnostics and risk stratification
20047
11 20057
12 20045
13 20023
14 20042
15 20082
16 20031

About Thomas Trepels

Thomas Trepels is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Immunology, Oncology and Genetics, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (6 papers), Cardiovascular and Diving-Related Complications (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Acute Myocardial Infarction Research (2 papers), Cardiac Valve Diseases and Treatments (2 papers), Coffee research and impacts (1 paper), Nitric Oxide and Endothelin Effects (1 paper) and Atherosclerosis and Cardiovascular Diseases (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (804 citations), Pulmonary and Respiratory Medicine (472 citations), Genetics (36 citations), Epidemiology (90 citations) and Psychiatry and Mental health (25 citations). Thomas Trepels has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Horst Sievert, Ulrike Krumsdorf, Kai Billinger, Stefan H. Ostermayer, Stephan Fichtlscherer, Andreas Michael Zeiher, Antonio Luca Bartorelli, Carlo Di Mario, Michael D. Lesh and Detlef Scherer. Their work appears in journals such as Journal of the American College of Cardiology, Circulation, The Thoracic and Cardiovascular Surgeon, Arteriosclerosis Thrombosis and Vascular Biology and Journal of Interventional 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.

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