Daniela Baumgartner

35 papers receiving 809 citations

Peers

Daniela Baumgartner
Comparison fields: 5 of 89
  • Clinical Biochemistry 110
  • Health Informatics 19
  • Cardiology and Cardiovascular Medicine 281
  • Pulmonary and Respiratory Medicine 274
  • Genetics 190
Replace Amit Tirosh with:
Amit Tirosh Israel
Christian M. Shaffer United States
Michelle J. Pena Netherlands
Jesper Kers Netherlands
Maria Stella Graziani Italy
Michael Pavlides United Kingdom
Daniel R. Obaid United Kingdom
Himanshu Gupta United States
Chunli Shao China
C. P. Wilkinson United States
Daniela Baumgartner relative to Amit Tirosh Israel Amit Tirosh's profile →
Citations per field
00.5×4.2×
Amit Tirosh · 1×
Citations per year

Countries citing papers authored by Daniela Baumgartner

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Baumgartner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005123
2 200682
3 200765
4 200458
5 200550
6 201150
7 202143
8 200636
9 200834
10 200431
11 201630
12 202030
13 200629
14 200627
15 200918
16 201616
17 202315
18 202012
19 202211
20 202210

About Daniela Baumgartner

Daniela Baumgartner is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Genetics, Molecular Biology and Surgery, having authored 35 papers that have together received 829 indexed citations. Recurring topics across this work include Connective tissue disorders research (9 papers), Aortic Disease and Treatment Approaches (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Metabolism and Genetic Disorders (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Birth, Development, and Health (3 papers), Pulmonary Hypertension Research and Treatments (2 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Clinical Biochemistry (110 citations), Health Informatics (19 citations), Cardiology and Cardiovascular Medicine (281 citations), Pulmonary and Respiratory Medicine (274 citations) and Genetics (190 citations). Daniela Baumgartner has collaborated with scholars based in Austria, Switzerland and Germany. Frequent co-authors include Christian Baumgärtner, John Hess, Beat Steinmann, Gábor Mátyás, Manfred Vogt, Ulrich Schweigmann, Christian Böhm, Andreas Kühn, Martin Kostolny and Raymonde Busch. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, Human Mutation, Journal of Biomedical Informatics, PLoS ONE and SLAS DISCOVERY.

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.

Explore authors with similar magnitude of impact