N Monplaisir

51 total papers · 1.0k total citations
36 papers, 570 citations indexed

About

N Monplaisir is a scholar working on Immunology, Genetics and Hematology. According to data from OpenAlex, N Monplaisir has authored 36 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 12 papers in Genetics and 10 papers in Hematology. Recurrent topics in N Monplaisir's work include T-cell and Retrovirus Studies (13 papers), Hemoglobinopathies and Related Disorders (12 papers) and Iron Metabolism and Disorders (8 papers). N Monplaisir is often cited by papers focused on T-cell and Retrovirus Studies (13 papers), Hemoglobinopathies and Related Disorders (12 papers) and Iron Metabolism and Disorders (8 papers). N Monplaisir collaborates with scholars based in France, Martinique and Switzerland. N Monplaisir's co-authors include J. Rosa, L d'Auriol, Frédéric Galactéros, Y. Blouquit, Hélène Cavé, C Guidal, Pierre‐Simon Rohrlich, Odile Fenneteau, Brigitte Lescoeur and Anne Dubart‐Kupperschmitt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Annals of Neurology.

In The Last Decade

N Monplaisir

33 papers receiving 542 citations

Author Peers

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

Author Last Decade Papers Cites
N Monplaisir 206 177 162 131 114 36 570
Tomonori Hidaka 174 0.8× 141 0.8× 119 0.7× 65 0.5× 88 0.8× 43 562
Kana Washio 179 0.9× 81 0.5× 59 0.4× 133 1.0× 113 1.0× 44 553
W. Craig Hooper 192 0.9× 123 0.7× 35 0.2× 68 0.5× 59 0.5× 34 522
C Mikuni 155 0.8× 159 0.9× 123 0.8× 64 0.5× 86 0.8× 36 513
Z. N. Berneman 198 1.0× 70 0.4× 35 0.2× 117 0.9× 116 1.0× 28 509
Norimasa Yasuda 379 1.8× 180 1.0× 58 0.4× 31 0.2× 50 0.4× 25 676
Yoko Kubuki 212 1.0× 208 1.2× 223 1.4× 96 0.7× 112 1.0× 34 624
Koichiro Suemori 383 1.9× 77 0.4× 45 0.3× 190 1.5× 182 1.6× 38 663
Fuyuki Eguchi 156 0.8× 27 0.2× 24 0.1× 76 0.6× 87 0.8× 36 628
Masuko Tagawa 231 1.1× 197 1.1× 115 0.7× 143 1.1× 153 1.3× 26 522

Countries citing papers authored by N Monplaisir

Since Specialization
Citations

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

Fields of papers citing papers by N Monplaisir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N Monplaisir

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026