Maximilien Evrard

64 total papers · 5.8k total citations
24 papers, 1.0k citations indexed

About

Maximilien Evrard is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Maximilien Evrard has authored 24 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 8 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Maximilien Evrard's work include T-cell and B-cell Immunology (7 papers), Immune cells in cancer (6 papers) and Immune Cell Function and Interaction (6 papers). Maximilien Evrard is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Immune cells in cancer (6 papers) and Immune Cell Function and Interaction (6 papers). Maximilien Evrard collaborates with scholars based in Singapore, Australia and United States. Maximilien Evrard's co-authors include Lai Guan Ng, Shu Zhen Chong, Laura K. Mackay, Matheswaran Kandasamy, Federica Laudisi, Timothy R. Hughes, Roberto Spreafico, B. Paul Morgan, Baalasubramanian Sivasankar and Barbara Mandriani and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Blood.

In The Last Decade

Maximilien Evrard

24 papers receiving 994 citations

Author Peers

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

Author Last Decade Papers Cites
Maximilien Evrard 609 373 242 80 66 24 1.0k
Wim Maes 574 0.9× 437 1.2× 351 1.5× 92 1.1× 50 0.8× 26 1.1k
Yvon Elkrim 732 1.2× 400 1.1× 313 1.3× 68 0.8× 47 0.7× 16 1.0k
Marika Karikoski 488 0.8× 372 1.0× 422 1.7× 49 0.6× 48 0.7× 23 1.2k
Vita Pašukonienė 508 0.8× 256 0.7× 143 0.6× 62 0.8× 30 0.5× 36 842
Máté Kiss 693 1.1× 437 1.2× 399 1.6× 76 0.9× 51 0.8× 23 1.1k
J. Middleton 489 0.8× 406 1.1× 326 1.3× 41 0.5× 73 1.1× 17 1.2k
Tanja Bedke 613 1.0× 383 1.0× 173 0.7× 33 0.4× 84 1.3× 25 1.0k
Federica Raggi 711 1.2× 264 0.7× 253 1.0× 67 0.8× 59 0.9× 23 1.1k
Marco Romano 681 1.1× 255 0.7× 271 1.1× 34 0.4× 67 1.0× 29 1.2k
Anthony C. Bruce 507 0.8× 158 0.4× 295 1.2× 88 1.1× 97 1.5× 27 1.1k

Countries citing papers authored by Maximilien Evrard

Since Specialization
Citations

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

Fields of papers citing papers by Maximilien Evrard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilien Evrard

This figure shows the co-authorship network connecting the top 25 collaborators of Maximilien Evrard. A scholar is included among the top collaborators of Maximilien Evrard 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 Maximilien Evrard. Maximilien Evrard 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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