Marion Mußbacher
- Molecular Biology
- Immunology top 10%
- Epidemiology
- Cancer Research top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Johannes A. SchmidAlice AssingerManuel SalzmannJosé BasílioChristine BrostjanChristian SchoergenhoferWaltraud C. SchrottmaierBastian Hoesel
- Topics
- Platelet Disorders and Treatments (7 papers)Atherosclerosis and Cardiovascular Diseases (7 papers)Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers)
- Partner nations
- AustriaUnited StatesUnited Kingdom
In The Last Decade
Marion Mußbacher
38 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 420
- Immunology 407
- Epidemiology 191
- Cancer Research 174
- Cardiology and Cardiovascular Medicine 153
Countries citing papers authored by Marion Mußbacher
This map shows the geographic impact of Marion Mußbacher'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 Marion Mußbacher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marion Mußbacher more than expected).
Fields of papers citing papers by Marion Mußbacher
This network shows the impact of papers produced by Marion Mußbacher. 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 Marion Mußbacher. The network helps show where Marion Mußbacher may publish in the future.
Co-authorship network of co-authors of Marion Mußbacher
This figure shows the co-authorship network connecting the top 25 collaborators of Marion Mußbacher. A scholar is included among the top collaborators of Marion Mußbacher 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 Marion Mußbacher. Marion Mußbacher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | NF-κB in monocytes and macrophages – an inflammatory master regulator in multitalented immune cellsbreakdown → | 151 |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 49 | |
| 9 | 1 | |
| 10 | 42 | |
| 11 | 9 | |
| 12 | 2 | |
| 13 | 117 | |
| 14 | 10 | |
| 15 | Cell Type-Specific Roles of NF-κB Linking Inflammation and Thrombosisbreakdown → | 467 |
| 16 | 7 | |
| 17 | 39 | |
| 18 | 11 | |
| 19 | 45 | |
| 20 | 29 |
About Marion Mußbacher
Marion Mußbacher is a scholar working on Hematology, Immunology and Biochemistry, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (7 papers), Atherosclerosis and Cardiovascular Diseases (7 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers). The work is most often cited by research in Immunology (407 citations), Internal Medicine (52 citations) and Hematology (130 citations). Marion Mußbacher has collaborated with scholars based in Austria, United States and United Kingdom. Frequent co-authors include Johannes A. Schmid, Alice Assinger, Manuel Salzmann, José Basílio, Christine Brostjan, Christian Schoergenhofer, Waltraud C. Schrottmaier, Bastian Hoesel, Philipp J. Hohensinner and Hannes Datler. Their work appears in journals such as PLoS ONE, Circulation Research and Hepatology.
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.