Nicolas Parmentier

2.9k total citations · 1 hit paper
10 papers, 2.2k citations indexed

About

Nicolas Parmentier is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Nicolas Parmentier has authored 10 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Cancer Research. Recurrent topics in Nicolas Parmentier's work include Ubiquitin and proteasome pathways (4 papers), RNA modifications and cancer (3 papers) and Immunotherapy and Immune Responses (3 papers). Nicolas Parmentier is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), RNA modifications and cancer (3 papers) and Immunotherapy and Immune Responses (3 papers). Nicolas Parmentier collaborates with scholars based in Belgium, France and Qatar. Nicolas Parmentier's co-authors include Benoı̂t J. Van den Eynde, Didier Colau, Vincent Stroobant, Ivan Théate, Catherine Uyttenhove, Thierry Boon, Luc Pilotte, Jacques Chapiro, Benoît Guillaume and Marie‐Pierre Bousquet and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Nicolas Parmentier

10 papers receiving 2.2k citations

Hit Papers

Evidence for a tumoral immune resistance mechanism based ... 2003 2026 2010 2018 2003 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nicolas Parmentier Belgium 7 1.0k 845 793 785 285 10 2.2k
Preston S. Donover United States 11 354 0.4× 559 0.7× 498 0.6× 284 0.4× 174 0.6× 18 1.2k
Katharina Ochs Germany 14 379 0.4× 455 0.5× 361 0.5× 298 0.4× 167 0.6× 18 1.2k
Michael Hansbury United States 12 176 0.2× 302 0.4× 396 0.5× 221 0.3× 88 0.3× 18 860
Nicholas B. Jennings United States 27 238 0.2× 54 0.1× 1.3k 1.7× 718 0.9× 150 0.5× 45 2.5k
Mark Fidock United Kingdom 20 358 0.4× 52 0.1× 807 1.0× 121 0.2× 40 0.1× 32 1.6k
Han Yao China 16 502 0.5× 25 0.0× 653 0.8× 742 0.9× 39 0.1× 36 1.6k
Csilla Fazakas Hungary 18 182 0.2× 53 0.1× 526 0.7× 371 0.5× 25 0.1× 40 1.4k
Shari L. Sutor United States 23 555 0.6× 47 0.1× 989 1.2× 683 0.9× 27 0.1× 33 1.8k
Donna L. Herber United States 9 1.3k 1.3× 103 0.1× 565 0.7× 566 0.7× 6 0.0× 13 2.1k

Countries citing papers authored by Nicolas Parmentier

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Parmentier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Parmentier

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

All Works

10 of 10 papers shown
1.
Dutheuil, Guillaume, Killian Oukoloff, François Lenoir, et al.. (2025). Discovery, Optimization, and Preclinical Pharmacology of EP652, a METTL3 Inhibitor with Efficacy in Liquid and Solid Tumor Models. Journal of Medicinal Chemistry. 68(3). 2981–3003. 7 indexed citations
3.
Fraser, Graeme, et al.. (2023). Abstract 6282: EP102: Pharmacological inhibition of METTL3 arrests tumor progression and prolongs survival in CDX and PDX models of AML. Cancer Research. 83(7_Supplement). 6282–6282. 3 indexed citations
4.
Hakanen, Janne, Nicolas Parmentier, Mohamed Aittaleb, et al.. (2021). The Celsr3-Kif2a axis directs neuronal migration in the postnatal brain. Progress in Neurobiology. 208. 102177–102177. 5 indexed citations
5.
Parmentier, Nicolas, et al.. (2019). Dystroglycan is a scaffold for extracellular axon guidance decisions. eLife. 8. 32 indexed citations
6.
Guillaume, Benoît, Vincent Stroobant, Marie‐Pierre Bousquet, et al.. (2012). Analysis of the Processing of Seven Human Tumor Antigens by Intermediate Proteasomes. The Journal of Immunology. 189(7). 3538–3547. 67 indexed citations
7.
Parmentier, Nicolas, Vincent Stroobant, Didier Colau, et al.. (2010). Production of an antigenic peptide by insulin-degrading enzyme. Nature Immunology. 11(5). 449–454. 53 indexed citations
8.
Guillaume, Benoît, Jacques Chapiro, Vincent Stroobant, et al.. (2010). Two abundant proteasome subtypes that uniquely process some antigens presented by HLA class I molecules. Proceedings of the National Academy of Sciences. 107(43). 18599–18604. 180 indexed citations
9.
Geiss‐Friedlander, Ruth, Nicolas Parmentier, Ulrike Möller, et al.. (2009). The Cytoplasmic Peptidase DPP9 Is Rate-limiting for Degradation of Proline-containing Peptides. Journal of Biological Chemistry. 284(40). 27211–27219. 85 indexed citations
10.
Uyttenhove, Catherine, Luc Pilotte, Ivan Théate, et al.. (2003). Evidence for a tumoral immune resistance mechanism based on tryptophan degradation by indoleamine 2,3-dioxygenase. Nature Medicine. 9(10). 1269–1274. 1807 indexed citations breakdown →

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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