Verena Schlaphoff
About
In The Last Decade
Verena Schlaphoff
36 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 72
- Hepatology 898
- Epidemiology 716
- Immunology 487
- Infectious Diseases 178
- Molecular Biology 93
Countries citing papers authored by Verena Schlaphoff
This map shows the geographic impact of Verena Schlaphoff'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 Verena Schlaphoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Verena Schlaphoff more than expected).
Fields of papers citing papers by Verena Schlaphoff
This network shows the impact of papers produced by Verena Schlaphoff. 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 Verena Schlaphoff. The network helps show where Verena Schlaphoff may publish in the future.
Co-authorship network of co-authors of Verena Schlaphoff
This figure shows the co-authorship network connecting the top 25 collaborators of Verena Schlaphoff. A scholar is included among the top collaborators of Verena Schlaphoff 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 Verena Schlaphoff. Verena Schlaphoff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 117 | |
| 3 | 33 | |
| 4 | 26 | |
| 5 | 30 | |
| 6 | 22 | |
| 7 | 44 | |
| 8 | 20 | |
| 9 | 99 | |
| 10 | 22 | |
| 11 | 39 | |
| 12 | 131 | |
| 13 | 97 | |
| 14 | 149 | |
| 15 | 58 | |
| 16 | 82 | |
| 17 | 13 | |
| 18 | 24 | |
| 19 | 38 | |
| 20 | 19 |
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.