Daniela Baumgartner

35 papers receiving 880 citations

Peers

Daniela Baumgartner
Comparison fields: 5 of 86
  • Clinical Biochemistry 114
  • Health Informatics 19
  • Cardiology and Cardiovascular Medicine 201
  • Pulmonary and Respiratory Medicine 214
  • Genetics 189
Replace Shyang‐Rong Shih with:
Shyang‐Rong Shih Taiwan
S J Aldington United Kingdom
Gaurav Dhar United States
Gideon Bahn United States
Christian M. Shaffer United States
Amit Tirosh Israel
M. Rema India
Michael Pavlides United Kingdom
Vincent K. Lam United States
Elizabeta Topić Croatia
Daniela Baumgartner relative to Shyang‐Rong Shih Taiwan Shyang‐Rong Shih's profile →
Citations per field
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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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005132
2 200684
3 200774
4 200465
5 201158
6 200556
7 202148
8 200638
9 200835
10 200435
11 202034
12 200633
13 201631
14 200627
15 200918
16 201616
17 202316
18 202215
19 202013
20 202212

About Daniela Baumgartner

Daniela Baumgartner is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery, having authored 37 papers that have together received 914 indexed citations. Recurring topics across this work include Connective tissue disorders research (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Metabolism and Genetic Disorders (4 papers), Aortic Disease and Treatment Approaches (3 papers), Cardiac Valve Diseases and Treatments (3 papers), Congenital Heart Disease Studies (2 papers), Cardiac Imaging and Diagnostics (2 papers) and Renal and Vascular Pathologies (2 papers). The work is most often cited by research in Clinical Biochemistry (114 citations), Health Informatics (19 citations), Cardiology and Cardiovascular Medicine (201 citations), Pulmonary and Respiratory Medicine (214 citations) and Genetics (189 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, Journal of Biomedical Informatics, PLoS ONE, Human Mutation and Bioinformatics.

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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