Irma Lemmens

9.2k total citations · 1 hit paper
42 papers, 2.1k citations indexed

About

Irma Lemmens is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Irma Lemmens has authored 42 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 10 papers in Oncology and 10 papers in Cell Biology. Recurrent topics in Irma Lemmens's work include Bioinformatics and Genomic Networks (9 papers), Biotin and Related Studies (7 papers) and Viral Infectious Diseases and Gene Expression in Insects (7 papers). Irma Lemmens is often cited by papers focused on Bioinformatics and Genomic Networks (9 papers), Biotin and Related Studies (7 papers) and Viral Infectious Diseases and Gene Expression in Insects (7 papers). Irma Lemmens collaborates with scholars based in Belgium, United States and Netherlands. Irma Lemmens's co-authors include Jan Tavernier, Sven Eyckerman, Sam Lievens, Joël Vandekerckhove, Annick Verhee, José Van der Heyden, David E. Hill, Xaveer Van Ostade, Marc Vidal and Jason Chen and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Neuron.

In The Last Decade

Irma Lemmens

41 papers receiving 2.1k citations

Hit Papers

Genome dynamics of the human embryonic kidney 293 lineage... 2014 2026 2018 2022 2014 100 200 300

Peers

Irma Lemmens
David A. Lomas United Kingdom
Venkatesha Basrur United States
Sarah Hanrahan United Kingdom
Kam C. Yeung United States
Frank McCormick United States
Irma Lemmens
Citations per year, relative to Irma Lemmens Irma Lemmens (= 1×) peers Dita Rasper

Countries citing papers authored by Irma Lemmens

Since Specialization
Citations

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

Fields of papers citing papers by Irma Lemmens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irma Lemmens

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

All Works

20 of 20 papers shown
1.
Lemmens, Irma, Joris Wauman, Kristel M. Vennekens, et al.. (2025). A postsynaptic GPR158-PLCXD2 complex controls spine apparatus abundance and dendritic spine maturation. Developmental Cell. 60(18). 2470–2486.e10. 2 indexed citations
2.
Lemmens, Irma, Karin Weening, Freya Van Houtte, et al.. (2023). The phosphatidylserine receptor TIM1 promotes infection of enveloped hepatitis E virus. Cellular and Molecular Life Sciences. 80(11). 326–326. 12 indexed citations
3.
Heyden, José Van der, Irma Lemmens, Sam Lievens, et al.. (2017). MAPPI-DAT: data management and analysis for protein–protein interaction data from the high-throughput MAPPIT cell microarray platform. Bioinformatics. 33(9). 1424–1425. 2 indexed citations
4.
Lin, Guan Ning, Roser Corominas, Irma Lemmens, et al.. (2015). Spatiotemporal 16p11.2 Protein Network Implicates Cortical Late Mid-Fetal Brain Development and KCTD13-Cul3-RhoA Pathway in Psychiatric Diseases. Neuron. 85(4). 742–754. 103 indexed citations
5.
Vervliet, Tim, Irma Lemmens, Elien Vandermarliere, et al.. (2015). Ryanodine receptors are targeted by anti-apoptotic Bcl-XL involving its BH4 domain and Lys87 from its BH3 domain. Scientific Reports. 5(1). 9641–9641. 34 indexed citations
6.
Vervliet, Tim, Irma Lemmens, Kirsten Welkenhuyzen, et al.. (2015). Regulation of the ryanodine receptor by anti-apoptotic Bcl-2 is independent of its BH3-domain-binding properties. Biochemical and Biophysical Research Communications. 463(3). 174–179. 16 indexed citations
7.
Lin, Yao‐Cheng, Morgane Boone, Leander Meuris, et al.. (2014). Genome dynamics of the human embryonic kidney 293 lineage in response to cell biology manipulations. Nature Communications. 5(1). 4767–4767. 388 indexed citations breakdown →
8.
Lavens, Delphine, et al.. (2012). Random Mutagenesis MAPPIT Analysis Identifies Binding Sites for Vif and Gag in Both Cytidine Deaminase Domains of Apobec3G. PLoS ONE. 7(9). e44143–e44143. 9 indexed citations
9.
Lievens, Sam, Frank Peelman, Karolien De Bosscher, Irma Lemmens, & Jan Tavernier. (2011). MAPPIT: A protein interaction toolbox built on insights in cytokine receptor signaling. Cytokine & Growth Factor Reviews. 22(5-6). 321–329. 27 indexed citations
10.
Lievens, Sam, Sven Eyckerman, Irma Lemmens, & Jan Tavernier. (2010). Large-scale protein interactome mapping: strategies and opportunities. Expert Review of Proteomics. 7(5). 679–690. 28 indexed citations
11.
Ulrichts, Peter, Irma Lemmens, Delphine Lavens, Rudi Beyaert, & Jan Tavernier. (2009). MAPPIT (Mammalian Protein–Protein Interaction Trap) Analysis of Early Steps in Toll-Like Receptor Signalling. Methods in molecular biology. 517. 133–144. 9 indexed citations
12.
Lievens, Sam, Irma Lemmens, & Jan Tavernier. (2009). Mammalian two-hybrids come of age. Trends in Biochemical Sciences. 34(11). 579–588. 48 indexed citations
13.
Pattyn, Els, Delphine Lavens, José Van der Heyden, et al.. (2008). MAPPIT (MAmmalian Protein–Protein Interaction Trap) as a tool to study HIV reverse transcriptase dimerization in intact human cells. Journal of Virological Methods. 153(1). 7–15. 15 indexed citations
14.
Falter‐Braun, Pascal, Murat Taşan, Matija Dreze, et al.. (2008). An experimentally derived confidence score for binary protein-protein interactions. Nature Methods. 6(1). 91–97. 321 indexed citations
15.
Lievens, Sam, et al.. (2006). Two-hybrid and its recent adaptations. Drug Discovery Today Technologies. 3(3). 317–324. 5 indexed citations
16.
Eyckerman, Sven, Irma Lemmens, Dominiek Catteeuw, et al.. (2005). Reverse MAPPIT: screening for protein-protein interaction modifiers in mammalian cells. Nature Methods. 2(6). 427–433. 45 indexed citations
17.
Tavernier, Jan, Sven Eyckerman, Irma Lemmens, et al.. (2002). MAPPIT: a cytokine receptor‐based two‐hybrid method in mammalian cells1. Clinical & Experimental Allergy. 32(10). 1397–1404. 24 indexed citations
18.
Eyckerman, Sven, Annick Verhee, José Van der Heyden, et al.. (2001). Design and application of a cytokine-receptor-based interaction trap. Nature Cell Biology. 3(12). 1114–1119. 160 indexed citations
19.
Lemmens, Irma, Koen Kas, J. Merregaert, & Wim J.M. Van de Ven. (1998). Identification and Molecular Characterization ofTM7SF2in the FAUNA Gene Cluster on Human Chromosome 11q13. Genomics. 49(3). 437–442. 9 indexed citations
20.
Lemmens, Irma. (1997). Identification of the multiple endocrine neoplasia type 1 (MEN1) gene. The European Consortium on MEN1. Human Molecular Genetics. 6(7). 1177–1183. 453 indexed citations

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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