Franziska Rompe
About
In The Last Decade
Franziska Rompe
6 papers receiving 398 citations
Peers
Comparison fields: 5 of 65
- Cardiology and Cardiovascular Medicine 247
- Molecular Biology 161
- Endocrinology, Diabetes and Metabolism 141
- Pharmacology 47
- Physiology 42
Countries citing papers authored by Franziska Rompe
This map shows the geographic impact of Franziska Rompe'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 Franziska Rompe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franziska Rompe more than expected).
Fields of papers citing papers by Franziska Rompe
This network shows the impact of papers produced by Franziska Rompe. 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 Franziska Rompe. The network helps show where Franziska Rompe may publish in the future.
Co-authorship network of co-authors of Franziska Rompe
This figure shows the co-authorship network connecting the top 25 collaborators of Franziska Rompe. A scholar is included among the top collaborators of Franziska Rompe 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 Franziska Rompe. Franziska Rompe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 168 | |
| 2 | 38 | |
| 3 | 25 | |
| 4 | 69 | |
| 5 | 77 | |
| 6 | 23 |
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.