Barbora Nussbaumerová
- Cardiology and Cardiovascular Medicine
- Endocrinology, Diabetes and Metabolism
- Physiology
- Surgery
- Epidemiology
- Co-authors
- Hana RosolováLuděk MüllerF SefrnaJaroslav RáčekRenata CífkováOtto MayerMilada DobiášováTerezie Pelikánová
- Topics
- Lipoproteins and Cardiovascular Health (7 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers)Blood Pressure and Hypertension Studies (4 papers)
In The Last Decade
Barbora Nussbaumerová
12 papers receiving 146 citations
Peers
Comparison fields: 5 of 66
- Cardiology and Cardiovascular Medicine 36
- Endocrinology, Diabetes and Metabolism 33
- Physiology 32
- Surgery 30
- Epidemiology 20
Countries citing papers authored by Barbora Nussbaumerová
This map shows the geographic impact of Barbora Nussbaumerová'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 Barbora Nussbaumerová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbora Nussbaumerová more than expected).
Fields of papers citing papers by Barbora Nussbaumerová
This network shows the impact of papers produced by Barbora Nussbaumerová. 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 Barbora Nussbaumerová. The network helps show where Barbora Nussbaumerová may publish in the future.
Co-authorship network of co-authors of Barbora Nussbaumerová
This figure shows the co-authorship network connecting the top 25 collaborators of Barbora Nussbaumerová. A scholar is included among the top collaborators of Barbora Nussbaumerová based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Barbora Nussbaumerová. Barbora Nussbaumerová is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 76 | |
| 2 | 0 | |
| 3 | Diagnosis of heart failure: the new classification of heart failure. | 6 |
| 4 | 10 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 19 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | [Residual cardiovascular risk markers]. | 1 |
| 13 | 3 | |
| 14 | 18 | |
| 15 | [The ankle brachial index in type 2 diabetes]. | 1 |
About Barbora Nussbaumerová
Barbora Nussbaumerová is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 15 papers that have together received 151 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Blood Pressure and Hypertension Studies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (33 citations), Cardiology and Cardiovascular Medicine (36 citations) and Health, Toxicology and Mutagenesis (18 citations). Barbora Nussbaumerová has collaborated with scholars based in Czechia and India. Frequent co-authors include Hana Rosolová, Luděk Müller, F Sefrna, Jaroslav Ráček, Renata Cífková, Otto Mayer, Milada Dobiášová, Terezie Pelikánová, Miroslav Souček and Jan Filipovský. Their work appears in journals such as Atherosclerosis, Biological Trace Element Research and Current Atherosclerosis Reports.
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.