Rudi Manz
About
In The Last Decade
Rudi Manz
13 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 82
- Immunology 461
- Molecular Biology 311
- Rheumatology 233
- Oncology 191
- Genetics 180
Countries citing papers authored by Rudi Manz
This map shows the geographic impact of Rudi Manz'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 Rudi Manz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rudi Manz more than expected).
Fields of papers citing papers by Rudi Manz
This network shows the impact of papers produced by Rudi Manz. 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 Rudi Manz. The network helps show where Rudi Manz may publish in the future.
Co-authorship network of co-authors of Rudi Manz
This figure shows the co-authorship network connecting the top 25 collaborators of Rudi Manz. A scholar is included among the top collaborators of Rudi Manz 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 Rudi Manz. Rudi Manz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 49 | |
| 2 | 49 | |
| 3 | 152 | |
| 4 | 3 | |
| 5 | 332 | |
| 6 | 191 | |
| 7 | 24 | |
| 8 | 4 | |
| 9 | Analysis and sorting of T cells according to cytokine expression. | 14 |
| 10 | 47 | |
| 11 | 9 | |
| 12 | 231 | |
| 13 | 2 |
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.