Micaël Yagello
About
In The Last Decade
Micaël Yagello
24 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 86
- Immunology 980
- Virology 249
- Hematology 247
- Molecular Biology 211
- Oncology 174
Countries citing papers authored by Micaël Yagello
This map shows the geographic impact of Micaël Yagello'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 Micaël Yagello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Micaël Yagello more than expected).
Fields of papers citing papers by Micaël Yagello
This network shows the impact of papers produced by Micaël Yagello. 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 Micaël Yagello. The network helps show where Micaël Yagello may publish in the future.
Co-authorship network of co-authors of Micaël Yagello
This figure shows the co-authorship network connecting the top 25 collaborators of Micaël Yagello. A scholar is included among the top collaborators of Micaël Yagello 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 Micaël Yagello. Micaël Yagello is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 83 | |
| 2 | 391 | |
| 3 | 23 | |
| 4 | 45 | |
| 5 | 18 | |
| 6 | 43 | |
| 7 | 297 | |
| 8 | 25 | |
| 9 | 7 | |
| 10 | 46 | |
| 11 | 10 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 53 | |
| 15 | 31 | |
| 16 | 23 | |
| 17 | 14 | |
| 18 | 9 | |
| 19 | Regulation of antibody synthesis to sheep red cells in cultures of nu/nu spleen cells by T-cell replacing factor (TRF) and immunoglobulin-binding factor (IBF). | 3 |
| 20 | 4 |
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.