Maud Thérésine

1.1k total citations · 1 hit paper
6 papers, 824 citations indexed

About

Maud Thérésine is a scholar working on Immunology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Maud Thérésine has authored 6 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Endocrine and Autonomic Systems. Recurrent topics in Maud Thérésine's work include Immune Cell Function and Interaction (5 papers), IL-33, ST2, and ILC Pathways (3 papers) and T-cell and B-cell Immunology (3 papers). Maud Thérésine is often cited by papers focused on Immune Cell Function and Interaction (5 papers), IL-33, ST2, and ILC Pathways (3 papers) and T-cell and B-cell Immunology (3 papers). Maud Thérésine collaborates with scholars based in Luxembourg, Denmark and Germany. Maud Thérésine's co-authors include Jacques Zimmer, François Hentges, Tatiana Michel, Aurélie Poli, Emmanuel Andrès, Nicolaas H. C. Brons, Olivia Domingues, Wim Ammerlaan, Sophie B. Mériaux and Jonathan D. Turner and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Frontiers in Immunology.

In The Last Decade

Maud Thérésine

5 papers receiving 809 citations

Hit Papers

CD56bright natural killer (NK) cells: an important NK cel... 2008 2026 2014 2020 2008 200 400 600

Peers

Maud Thérésine
Comparison fields: 5 of 84
  • Immunology 675
  • Oncology 186
  • Epidemiology 84
  • Molecular Biology 82
  • Hematology 73
Replace Elissaveta Naumova with:
Elissaveta Naumova Bulgaria
Jason T. White United States
Dorit Fabricius Germany
Bianca Tesi Sweden
Tania Køllgaard Denmark
Elisa Forti Italy
José Peña Spain
Takuya Sekine United States
Jamil Al-Mughales Saudi Arabia
Vesna Pulko United States
Elissaveta Naumova Bulgaria View profile →
Citations per field, relative to Maud Thérésine
Maud Thérésine · 1×
Citations per year, relative to Maud Thérésine
Maud Thérésine · 1×

Countries citing papers authored by Maud Thérésine

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

6 of 6 papers shown
# 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.

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