Anika Bruhs
About
In The Last Decade
Anika Bruhs
13 papers receiving 413 citations
Peers
Comparison fields: 5 of 84
- Dermatology 184
- Immunology 178
- Molecular Biology 140
- Physiology 62
- Health, Toxicology and Mutagenesis 26
Countries citing papers authored by Anika Bruhs
This map shows the geographic impact of Anika Bruhs'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 Anika Bruhs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anika Bruhs more than expected).
Fields of papers citing papers by Anika Bruhs
This network shows the impact of papers produced by Anika Bruhs. 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 Anika Bruhs. The network helps show where Anika Bruhs may publish in the future.
Co-authorship network of co-authors of Anika Bruhs
This figure shows the co-authorship network connecting the top 25 collaborators of Anika Bruhs. A scholar is included among the top collaborators of Anika Bruhs 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 Anika Bruhs. Anika Bruhs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 40 | |
| 5 | 67 | |
| 6 | 2 | |
| 7 | 17 | |
| 8 | 16 | |
| 9 | 1 | |
| 10 | 160 | |
| 11 | 19 | |
| 12 | 41 | |
| 13 | 42 |
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.