Katharina Pfeil
- Molecular Biology
- Geriatrics and Gerontology top 2%
- Pathology and Forensic Medicine top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Physiology
- Co-authors
- Heiko BuggerChristoph KoentgesMichael M. HoffmannKatja E. OdeningLutz HeinMaría Cecilia CimolaiChristoph BodeTilman Schnick
- Topics
- Sirtuins and Resveratrol in Medicine (6 papers)Adipose Tissue and Metabolism (4 papers)Adipokines, Inflammation, and Metabolic Diseases (3 papers)
- Journals
- PLoS ONEEuropean Heart JournalBiochimica et Biophysica Acta (BBA) - Molecular Basis of Disease
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Katharina Pfeil
14 papers receiving 651 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Molecular Biology 326
- Geriatrics and Gerontology 159
- Pathology and Forensic Medicine 148
- Cardiology and Cardiovascular Medicine 142
- Physiology 141
Countries citing papers authored by Katharina Pfeil
This map shows the geographic impact of Katharina Pfeil'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 Katharina Pfeil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katharina Pfeil more than expected).
Fields of papers citing papers by Katharina Pfeil
This network shows the impact of papers produced by Katharina Pfeil. 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 Katharina Pfeil. The network helps show where Katharina Pfeil may publish in the future.
Co-authorship network of co-authors of Katharina Pfeil
This figure shows the co-authorship network connecting the top 25 collaborators of Katharina Pfeil. A scholar is included among the top collaborators of Katharina Pfeil 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 Katharina Pfeil. Katharina Pfeil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | Mitochondrial ROS in myocardial ischemia reperfusion and remodelingbreakdown → | 320 |
| 5 | 2 | |
| 6 | 21 | |
| 7 | 40 | |
| 8 | 7 | |
| 9 | 30 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 26 | |
| 13 | 38 | |
| 14 | 150 |
About Katharina Pfeil
Katharina Pfeil is a scholar working on Geriatrics and Gerontology, Physiology and Physiology, having authored 14 papers that have together received 656 indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (6 papers), Adipose Tissue and Metabolism (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Geriatrics and Gerontology (159 citations), Physiology (46 citations) and Pathology and Forensic Medicine (148 citations). Katharina Pfeil has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Heiko Bugger, Christoph Koentges, Michael M. Hoffmann, Katja E. Odening, Lutz Hein, María Cecilia Cimolai, Christoph Bode, Tilman Schnick, Carsten Jaeger and Sebastian Wiese. Their work appears in journals such as PLoS ONE, European Heart Journal and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.
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.