Gaëlle Mercenne
About
In The Last Decade
Gaëlle Mercenne
10 papers receiving 276 citations
Peers
Comparison fields: 5 of 57
- Virology 168
- Infectious Diseases 114
- Molecular Biology 105
- Immunology 65
- Epidemiology 58
Countries citing papers authored by Gaëlle Mercenne
This map shows the geographic impact of Gaëlle Mercenne'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 Gaëlle Mercenne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaëlle Mercenne more than expected).
Fields of papers citing papers by Gaëlle Mercenne
This network shows the impact of papers produced by Gaëlle Mercenne. 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 Gaëlle Mercenne. The network helps show where Gaëlle Mercenne may publish in the future.
Co-authorship network of co-authors of Gaëlle Mercenne
This figure shows the co-authorship network connecting the top 25 collaborators of Gaëlle Mercenne. A scholar is included among the top collaborators of Gaëlle Mercenne 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 Gaëlle Mercenne. Gaëlle Mercenne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 14 | |
| 3 | 13 | |
| 4 | 30 | |
| 5 | 3 | |
| 6 | 17 | |
| 7 | 40 | |
| 8 | 29 | |
| 9 | 62 | |
| 10 | 58 |
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.