Gisela Kramer
About
In The Last Decade
Gisela Kramer
9 papers receiving 369 citations
Peers
Comparison fields: 5 of 55
- Molecular Biology 354
- Genetics 65
- Materials Chemistry 59
- Immunology 44
- Cell Biology 43
Countries citing papers authored by Gisela Kramer
This map shows the geographic impact of Gisela Kramer'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 Gisela Kramer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gisela Kramer more than expected).
Fields of papers citing papers by Gisela Kramer
This network shows the impact of papers produced by Gisela Kramer. 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 Gisela Kramer. The network helps show where Gisela Kramer may publish in the future.
Co-authorship network of co-authors of Gisela Kramer
This figure shows the co-authorship network connecting the top 25 collaborators of Gisela Kramer. A scholar is included among the top collaborators of Gisela Kramer 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 Gisela Kramer. Gisela Kramer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 37 | |
| 3 | 86 | |
| 4 | 26 | |
| 5 | 18 | |
| 6 | 48 | |
| 7 | 50 | |
| 8 | 31 | |
| 9 | 57 |
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.