Stefan Brühmann
About
In The Last Decade
Stefan Brühmann
10 papers receiving 355 citations
Peers
Comparison fields: 5 of 54
- Cell Biology 278
- Molecular Biology 115
- Biophysics 57
- Immunology and Allergy 42
- Biomedical Engineering 40
Countries citing papers authored by Stefan Brühmann
This map shows the geographic impact of Stefan Brühmann'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 Stefan Brühmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Brühmann more than expected).
Fields of papers citing papers by Stefan Brühmann
This network shows the impact of papers produced by Stefan Brühmann. 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 Stefan Brühmann. The network helps show where Stefan Brühmann may publish in the future.
Co-authorship network of co-authors of Stefan Brühmann
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Brühmann. A scholar is included among the top collaborators of Stefan Brühmann 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 Stefan Brühmann. Stefan Brühmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 64 | |
| 3 | 27 | |
| 4 | 8 | |
| 5 | 25 | |
| 6 | 40 | |
| 7 | 102 | |
| 8 | 47 | |
| 9 | 7 | |
| 10 | 35 |
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.