Rebekka Duhen
About
In The Last Decade
Rebekka Duhen
20 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Immunology 1.1k
- Oncology 737
- Molecular Biology 214
- Pathology and Forensic Medicine 74
- Epidemiology 70
Countries citing papers authored by Rebekka Duhen
This map shows the geographic impact of Rebekka Duhen'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 Rebekka Duhen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rebekka Duhen more than expected).
Fields of papers citing papers by Rebekka Duhen
This network shows the impact of papers produced by Rebekka Duhen. 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 Rebekka Duhen. The network helps show where Rebekka Duhen may publish in the future.
Co-authorship network of co-authors of Rebekka Duhen
This figure shows the co-authorship network connecting the top 25 collaborators of Rebekka Duhen. A scholar is included among the top collaborators of Rebekka Duhen 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 Rebekka Duhen. Rebekka Duhen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 8 | |
| 5 | 21 | |
| 6 | 4 | |
| 7 | 45 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 114 | |
| 11 | Co-expression of CD39 and CD103 identifies tumor-reactive CD8 T cells in human solid tumors breakdown → | 564 |
| 12 | 1 | |
| 13 | 23 | |
| 14 | 49 | |
| 15 | 40 | |
| 16 | 40 | |
| 17 | 1 | |
| 18 | 137 | |
| 19 | 313 | |
| 20 | 65 |
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.