Daniela Baumgartner

1.3k citations
36 papers · 841 · h-index 16

Impact in

Papers in

Daniela Baumgartner

35 papers receiving 822 citations

Peers

Daniela Baumgartner
Comparison fields: 5 of 86
  • Clinical Biochemistry 104
  • Health Informatics 18
  • Cardiology and Cardiovascular Medicine 185
  • Pulmonary and Respiratory Medicine 191
  • Genetics 174
Replace S J Aldington with:
S J Aldington United Kingdom
Gaurav Dhar United States
Amit Tirosh Israel
Michael Pavlides United Kingdom
Christian M. Shaffer United States
Ioan C. Cucoranu United States
Vincent K. Lam United States
Chunli Shao China
Brian L. VanderBeek United States
Jacqueline S. Dron Canada
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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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005124
2 200682
3 200766
4 200458
5 201150
6 200550
7 202146
8 200636
9 200834
10 200431
11 202031
12 201630
13 200629
14 200627
15 200918
16 201616
17 202315
18 202213
19 202212
20 202012

About Daniela Baumgartner

Daniela Baumgartner is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine and Surgery, having authored 36 papers that have together received 841 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (6 papers), Connective tissue disorders research (6 papers), Metabolism and Genetic Disorders (4 papers), Congenital Heart Disease Studies (2 papers), Cardiac Imaging and Diagnostics (2 papers), Renal and Vascular Pathologies (2 papers), Aortic Disease and Treatment Approaches (2 papers) and Pulmonary Hypertension Research and Treatments (2 papers). The work is most often cited by research in Clinical Biochemistry (104 citations), Health Informatics (18 citations), Cardiology and Cardiovascular Medicine (185 citations), Pulmonary and Respiratory Medicine (191 citations) and Genetics (174 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, Andreas Kühn, Martin Kostolny, Christian Böhm, Ulrich Schweigmann and Raymonde Busch. Their work appears in journals such as Journal of Biomedical Informatics, PLoS ONE, Human Mutation, Journal of Thoracic and Cardiovascular Surgery and European Journal of Pediatrics.

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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