Tobias Riexinger
About
In The Last Decade
Tobias Riexinger
8 papers receiving 550 citations
Peers
Comparison fields: 5 of 84
- Cardiology and Cardiovascular Medicine 290
- Biochemistry 101
- Physiology 98
- Immunology 88
- Endocrinology, Diabetes and Metabolism 77
Countries citing papers authored by Tobias Riexinger
This map shows the geographic impact of Tobias Riexinger'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 Tobias Riexinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobias Riexinger more than expected).
Fields of papers citing papers by Tobias Riexinger
This network shows the impact of papers produced by Tobias Riexinger. 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 Tobias Riexinger. The network helps show where Tobias Riexinger may publish in the future.
Co-authorship network of co-authors of Tobias Riexinger
This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Riexinger. A scholar is included among the top collaborators of Tobias Riexinger 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 Tobias Riexinger. Tobias Riexinger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 198 | |
| 2 | 16 | |
| 3 | 17 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 106 | |
| 8 | 227 |
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.