Elisabeth Keppi
About
In The Last Decade
Elisabeth Keppi
9 papers receiving 625 citations
Peers
Comparison fields: 5 of 55
- Microbiology 444
- Molecular Biology 337
- Immunology 310
- Insect Science 249
- Genetics 112
Countries citing papers authored by Elisabeth Keppi
This map shows the geographic impact of Elisabeth Keppi'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 Elisabeth Keppi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisabeth Keppi more than expected).
Fields of papers citing papers by Elisabeth Keppi
This network shows the impact of papers produced by Elisabeth Keppi. 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 Elisabeth Keppi. The network helps show where Elisabeth Keppi may publish in the future.
Co-authorship network of co-authors of Elisabeth Keppi
This figure shows the co-authorship network connecting the top 25 collaborators of Elisabeth Keppi. A scholar is included among the top collaborators of Elisabeth Keppi 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 Elisabeth Keppi. Elisabeth Keppi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 5 | |
| 3 | 114 | |
| 4 | 23 | |
| 5 | 26 | |
| 6 | 22 | |
| 7 | 263 | |
| 8 | 128 | |
| 9 | 33 |
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.