Stefan Grün

1.4k citations
13 papers · 938 indexed · 1 hit paper · h-index 9

Impact in

Papers in

Stefan Grün

13 papers receiving 915 citations

Hit Papers

Long-Term Follow-Up of Biopsy-Proven Viral Myocarditis 2012 · 365 citations
3652012202620162021100200300

Peers

Stefan Grün
Comparison fields: 5 of 43
  • Cardiology and Cardiovascular Medicine 697
  • Radiology, Nuclear Medicine and Imaging 288
  • Physiology 229
  • Pulmonary and Respiratory Medicine 193
  • Infectious Diseases 87
Replace Riina Kandolin with:
Riina Kandolin Finland
Myra Cocker Canada
Chiara Lanzillo Italy
Alessandra Scatteia Italy
Sebastian Bohnen Germany
Peter J. Cawley United States
Viviana Serra Spain
Kristopher W. Cummings United States
Fabien Labombarda France
José R. Parga Brazil
Stefan Grün relative to Riina Kandolin Finland Riina Kandolin's profile →
Citations per field
00.5×3.1×
Riina Kandolin · 1×
Citations per year

Countries citing papers authored by Stefan Grün

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Grün

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 202051
2 20164
3 201517
4 201520
5 20151
6 201413
7 2014119
8 2013314
9 201213
10
Long-Term Follow-Up of Biopsy-Proven Viral Myocarditis
Hit paper breakdown →
2012365
11 201217
12 20123
13 20111

About Stefan Grün

Stefan Grün is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Animal Science and Zoology and Rheumatology, having authored 13 papers that have together received 938 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (7 papers), Cardiomyopathy and Myosin Studies (4 papers), Cardiac Imaging and Diagnostics (4 papers), Cardiovascular Effects of Exercise (4 papers), Parvovirus B19 Infection Studies (2 papers), Cardiovascular Function and Risk Factors (2 papers), Advanced MRI Techniques and Applications (2 papers) and Cardiovascular Issues in Pregnancy (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (697 citations), Radiology, Nuclear Medicine and Imaging (288 citations), Physiology (229 citations), Pulmonary and Respiratory Medicine (193 citations) and Infectious Diseases (87 citations). Stefan Grün has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Simon Greulich, Udo Sechtem, Heiko Mahrholdt, Julia Schumm, Peter Ong, Oliver Bruder, Steffen Schneider, Anja Wagner, Karin Klingel and R Kandolf. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, European Journal of Internal Medicine, Journal of the American Heart Association, Journal of the American College of Cardiology and Clinical Research in 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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