Stephan Waldmüller

951 citations
14 papers · 387 · h-index 9

Impact in

Papers in

Stephan Waldmüller

14 papers receiving 385 citations

Peers

Stephan Waldmüller
Comparison fields: 5 of 65
  • Cardiology and Cardiovascular Medicine 232
  • Developmental Neuroscience 16
  • Molecular Biology 233
  • Genetics 88
  • Genetics 24
Replace Sabine Haßfeld with:
Sabine Haßfeld Germany
Jessica Woodley United States
Javier T Granados-Riveron United Kingdom
Christine E. Seidman United States
Sophie Julia France
Buckler Aj United States
Phillip L. Van United States
Birsen Karaman Türkiye
Tim McQuinn United States
Anne‐Laure Duchemin France
Stephan Waldmüller relative to Sabine Haßfeld Germany Sabine Haßfeld's profile →
Citations per field
00.5×4.6×
Sabine Haßfeld · 1×
Citations per year

Countries citing papers authored by Stephan Waldmüller

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Waldmüller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 200798
2 201169
3 200352
4 200835
5 201533
6 200229
7 201128
8 200721
9 20129
10 20225
11 20013
12 20212
13 20222
14 20231

About Stephan Waldmüller

Stephan Waldmüller is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Genetics and Developmental Neuroscience, having authored 14 papers that have together received 387 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (9 papers), Congenital heart defects research (6 papers), Connective tissue disorders research (3 papers), Aortic Disease and Treatment Approaches (3 papers), Viral Infections and Immunology Research (3 papers), Williams Syndrome Research (2 papers), RNA modifications and cancer (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (232 citations), Developmental Neuroscience (16 citations), Molecular Biology (233 citations), Genetics (88 citations) and Genetics (24 citations). Stephan Waldmüller has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Thomas Scheffold, Priska Binner, Hans-Peter Vosberg, Melanie Müller, Kirsten Rackebrandt, Wulf Blankenfeldt, Michael Bonin, Roland Toder, Peter Nürnberg and Erik May. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, PLoS ONE, The Thoracic and Cardiovascular Surgeon, Frontiers in Endocrinology and Human Mutation.

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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