Ramona Schmitt
About
In The Last Decade
Ramona Schmitt
17 papers receiving 394 citations
Peers
Comparison fields: 5 of 45
- Immunology 319
- Radiology, Nuclear Medicine and Imaging 95
- Molecular Biology 86
- Epidemiology 40
- Small Animals 29
Countries citing papers authored by Ramona Schmitt
This map shows the geographic impact of Ramona Schmitt'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 Ramona Schmitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramona Schmitt more than expected).
Fields of papers citing papers by Ramona Schmitt
This network shows the impact of papers produced by Ramona Schmitt. 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 Ramona Schmitt. The network helps show where Ramona Schmitt may publish in the future.
Co-authorship network of co-authors of Ramona Schmitt
This figure shows the co-authorship network connecting the top 25 collaborators of Ramona Schmitt. A scholar is included among the top collaborators of Ramona Schmitt 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 Ramona Schmitt. Ramona Schmitt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 12 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 21 | |
| 10 | 30 | |
| 11 | 34 | |
| 12 | 31 | |
| 13 | 30 | |
| 14 | 16 | |
| 15 | 78 | |
| 16 | 36 | |
| 17 | 76 |
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.