Oliver Schweier
About
In The Last Decade
Oliver Schweier
13 papers receiving 557 citations
Peers
Comparison fields: 5 of 62
- Immunology 453
- Oncology 134
- Molecular Biology 58
- Infectious Diseases 51
- Epidemiology 49
Countries citing papers authored by Oliver Schweier
This map shows the geographic impact of Oliver Schweier'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 Oliver Schweier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver Schweier more than expected).
Fields of papers citing papers by Oliver Schweier
This network shows the impact of papers produced by Oliver Schweier. 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 Oliver Schweier. The network helps show where Oliver Schweier may publish in the future.
Co-authorship network of co-authors of Oliver Schweier
This figure shows the co-authorship network connecting the top 25 collaborators of Oliver Schweier. A scholar is included among the top collaborators of Oliver Schweier 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 Oliver Schweier. Oliver Schweier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 31 | |
| 5 | 10 | |
| 6 | 47 | |
| 7 | 69 | |
| 8 | 36 | |
| 9 | 50 | |
| 10 | 139 | |
| 11 | 126 | |
| 12 | 26 | |
| 13 | 11 |
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.