Aurélie Balvay
About
In The Last Decade
Aurélie Balvay
6 papers receiving 529 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 235
- Immunology 179
- Physiology 161
- Endocrine and Autonomic Systems 94
- Epidemiology 53
Countries citing papers authored by Aurélie Balvay
This map shows the geographic impact of Aurélie Balvay'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 Aurélie Balvay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurélie Balvay more than expected).
Fields of papers citing papers by Aurélie Balvay
This network shows the impact of papers produced by Aurélie Balvay. 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 Aurélie Balvay. The network helps show where Aurélie Balvay may publish in the future.
Co-authorship network of co-authors of Aurélie Balvay
This figure shows the co-authorship network connecting the top 25 collaborators of Aurélie Balvay. A scholar is included among the top collaborators of Aurélie Balvay 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 Aurélie Balvay. Aurélie Balvay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 87 | |
| 6 | 224 | |
| 7 | 208 |
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.