Maike Rentel
About
In The Last Decade
Maike Rentel
8 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Plant Science 765
- Molecular Biology 466
- Cell Biology 197
- Immunology 82
- Immunology and Allergy 71
Countries citing papers authored by Maike Rentel
This map shows the geographic impact of Maike Rentel'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 Maike Rentel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maike Rentel more than expected).
Fields of papers citing papers by Maike Rentel
This network shows the impact of papers produced by Maike Rentel. 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 Maike Rentel. The network helps show where Maike Rentel may publish in the future.
Co-authorship network of co-authors of Maike Rentel
This figure shows the co-authorship network connecting the top 25 collaborators of Maike Rentel. A scholar is included among the top collaborators of Maike Rentel 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 Maike Rentel. Maike Rentel 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 | 1 | |
| 3 | Impact evaluation of National Research Programmes 59, 60 and 61 : Final report | 1 |
| 4 | 96 | |
| 5 | 144 | |
| 6 | 111 | |
| 7 | 454 | |
| 8 | 277 |
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.