Ulrich König
About
In The Last Decade
Ulrich König
11 papers receiving 447 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 225
- Epidemiology 153
- Cell Biology 85
- Genetics 78
- Immunology 70
Countries citing papers authored by Ulrich König
This map shows the geographic impact of Ulrich König'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 Ulrich König with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrich König more than expected).
Fields of papers citing papers by Ulrich König
This network shows the impact of papers produced by Ulrich König. 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 Ulrich König. The network helps show where Ulrich König may publish in the future.
Co-authorship network of co-authors of Ulrich König
This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich König. A scholar is included among the top collaborators of Ulrich König 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 Ulrich König. Ulrich König is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 20 | |
| 3 | 103 | |
| 4 | 2 | |
| 5 | 53 | |
| 6 | 112 | |
| 7 | 57 | |
| 8 | 14 | |
| 9 | 20 | |
| 10 | 55 | |
| 11 | 4 |
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.