Miriam Mérad

764 total papers · 91.1k total citations
247 papers, 45.7k citations indexed

About

Miriam Mérad is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Miriam Mérad has authored 247 papers receiving a total of 45.7k indexed citations (citations by other indexed papers that have themselves been cited), including 190 papers in Immunology, 66 papers in Oncology and 41 papers in Molecular Biology. Recurrent topics in Miriam Mérad's work include Immunotherapy and Immune Responses (120 papers), T-cell and B-cell Immunology (77 papers) and Immune Cell Function and Interaction (56 papers). Miriam Mérad is often cited by papers focused on Immunotherapy and Immune Responses (120 papers), T-cell and B-cell Immunology (77 papers) and Immune Cell Function and Interaction (56 papers). Miriam Mérad collaborates with scholars based in United States, France and United Kingdom. Miriam Mérad's co-authors include Florent Ginhoux, Jérôme C. Martin, Markus G. Manz, Melanie Greter, Arthur Mortha, Marylène Leboeuf, Julie Helft, Steffen Jung, Jennifer Miller and Daigo Hashimoto and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Miriam Mérad

243 papers receiving 45.3k citations

Hit Papers

Understanding the tumor i... 2002 2026 2010 2018 2018 2010 2010 2013 2020 1000 2.0k 3.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Miriam Mérad 27.4k 11.5k 8.2k 5.5k 3.8k 247 45.7k
Andrew D. Luster 29.1k 1.1× 10.8k 0.9× 14.2k 1.7× 2.9k 0.5× 7.5k 2.0× 340 51.0k
Steffen Jung 29.4k 1.1× 12.4k 1.1× 5.1k 0.6× 12.7k 2.3× 4.0k 1.0× 230 49.3k
Paul Kubes 26.0k 1.0× 12.6k 1.1× 4.3k 0.5× 2.8k 0.5× 8.1k 2.1× 422 52.2k
Florent Ginhoux 20.7k 0.8× 9.5k 0.8× 3.7k 0.4× 7.9k 1.4× 2.6k 0.7× 253 34.8k
Silvano Sozzani 25.6k 0.9× 10.6k 0.9× 12.6k 1.5× 1.8k 0.3× 3.1k 0.8× 314 41.0k
Howard L. Weiner 35.2k 1.3× 14.1k 1.2× 9.1k 1.1× 9.4k 1.7× 7.8k 2.0× 823 72.6k
Yoichiro Iwakura 32.7k 1.2× 18.1k 1.6× 7.7k 0.9× 2.8k 0.5× 5.5k 1.5× 692 61.4k
Marc Feldmann 23.9k 0.9× 11.3k 1.0× 8.0k 1.0× 1.7k 0.3× 2.6k 0.7× 556 53.7k
Volker Brinkmann 23.1k 0.8× 19.4k 1.7× 3.4k 0.4× 1.8k 0.3× 3.5k 0.9× 250 45.2k
Charles R. Mackay 25.5k 0.9× 12.4k 1.1× 9.1k 1.1× 1.4k 0.3× 7.8k 2.0× 254 46.9k

Countries citing papers authored by Miriam Mérad

Since Specialization
Citations

This map shows the geographic impact of Miriam Mérad'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 Miriam Mérad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miriam Mérad more than expected).

Fields of papers citing papers by Miriam Mérad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miriam Mérad. 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 Miriam Mérad. The network helps show where Miriam Mérad may publish in the future.

Co-authorship network of co-authors of Miriam Mérad

This figure shows the co-authorship network connecting the top 25 collaborators of Miriam Mérad. A scholar is included among the top collaborators of Miriam Mérad 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 Miriam Mérad. Miriam Mérad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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