W. Waas

916 citations
28 papers · 687 indexed · h-index 14

Impact in

Papers in

W. Waas

28 papers receiving 655 citations

Peers

W. Waas
Comparison fields: 5 of 78
  • Cardiology and Cardiovascular Medicine 365
  • Endocrinology, Diabetes and Metabolism 139
  • Emergency Medicine 59
  • Pathology and Forensic Medicine 99
  • Internal Medicine 20
Replace Young‐Dae Kim with:
Young‐Dae Kim South Korea
Giulio Russo Italy
Willem R.P. Agema Netherlands
Sylvia Olofsson Sweden
Emmanouil Zouridakis United Kingdom
Wichert J. Kuijt Netherlands
RE Silber Germany
Bjoern Goebel Germany
Naoya Oketani Japan
Kyriaki Venetsanou Greece
W. Waas relative to Young‐Dae Kim South Korea Young‐Dae Kim's profile →
Citations per field
00.5×9.3×
Young‐Dae Kim · 1×
Citations per year

Countries citing papers authored by W. Waas

Since Specialization
Citations

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

Fields of papers citing papers by W. Waas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside W. Waas, 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 W. Waas Line = papers co-authored together W. Waas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200513
2 200525
3 20057
4 20052
5 20042
6 20036
7 20022
8 200219
9 20013
10 200114
11 199937
12 199839
13 19981
14 199825
15 19971
16 199581
17 19918
18 19919
19 199025
20 19895

About W. Waas

W. Waas is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Otorhinolaryngology, having authored 28 papers that have together received 687 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (10 papers), Cardiac Imaging and Diagnostics (8 papers), Coronary Interventions and Diagnostics (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Cardiac electrophysiology and arrhythmias (3 papers), Hormonal Regulation and Hypertension (3 papers), Blood properties and coagulation (2 papers) and Cardiac Valve Diseases and Treatments (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (365 citations), Endocrinology, Diabetes and Metabolism (139 citations), Emergency Medicine (59 citations), Pathology and Forensic Medicine (99 citations) and Internal Medicine (20 citations). W. Waas has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Harald Tillmanns, Werner Haberbosch, Roger Kranzhöfer, E Mayer, Gert Richardt, Albert Schömig, Bernd Waldecker, W. Kübler, F. Hehrlein and Reinhard Voß. Their work appears in journals such as Circulation, European Heart Journal, The American Journal of Cardiology, Clinical Infectious Diseases and Circulation Research.

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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