Katharina Bender
About
In The Last Decade
Katharina Bender
5 papers receiving 498 citations
Peers
Comparison fields: 5 of 44
- Molecular Biology 399
- Physiology 163
- Cell Biology 79
- Immunology 76
- Cellular and Molecular Neuroscience 75
Countries citing papers authored by Katharina Bender
This map shows the geographic impact of Katharina Bender'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 Bender with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katharina Bender more than expected).
Fields of papers citing papers by Katharina Bender
This network shows the impact of papers produced by Katharina Bender. 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 Bender. The network helps show where Katharina Bender may publish in the future.
Co-authorship network of co-authors of Katharina Bender
This figure shows the co-authorship network connecting the top 25 collaborators of Katharina Bender. A scholar is included among the top collaborators of Katharina Bender 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 Bender. Katharina Bender is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 0 | |
| 3 | 190 | |
| 4 | 37 | |
| 5 | 13 | |
| 6 | 236 |
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.