Maud Thérésine
About
In The Last Decade
Maud Thérésine
5 papers receiving 809 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Immunology 675
- Oncology 186
- Epidemiology 84
- Molecular Biology 82
- Hematology 73
Countries citing papers authored by Maud Thérésine
This map shows the geographic impact of Maud Thérésine'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 Maud Thérésine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maud Thérésine more than expected).
Fields of papers citing papers by Maud Thérésine
This network shows the impact of papers produced by Maud Thérésine. 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 Maud Thérésine. The network helps show where Maud Thérésine may publish in the future.
Co-authorship network of co-authors of Maud Thérésine
This figure shows the co-authorship network connecting the top 25 collaborators of Maud Thérésine. A scholar is included among the top collaborators of Maud Thérésine 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 Maud Thérésine. Maud Thérésine 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 | 13 | |
| 3 | 19 | |
| 4 | 45 | |
| 5 | 16 | |
| 6 | CD56bright natural killer (NK) cells: an important NK cell subset breakdown → | 731 |
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.