Karin Weening

1.0k total citations
22 papers, 656 citations indexed

About

Karin Weening is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Karin Weening has authored 22 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Cell Biology. Recurrent topics in Karin Weening's work include CAR-T cell therapy research (6 papers), Cellular Mechanics and Interactions (6 papers) and T-cell and B-cell Immunology (5 papers). Karin Weening is often cited by papers focused on CAR-T cell therapy research (6 papers), Cellular Mechanics and Interactions (6 papers) and T-cell and B-cell Immunology (5 papers). Karin Weening collaborates with scholars based in Belgium, United Kingdom and United States. Karin Weening's co-authors include Pauline Schaap, Marcel E. Meima, Bart Vandekerckhove, Glenn Goetgeluk, Elisa Alvarez‐Curto, Tessa Kerre, Sarah Bonte, Stijn De Munter, Philip Meuleman and Geert Leroux‐Roels and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Karin Weening

21 papers receiving 645 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karin Weening Belgium 15 256 227 171 132 97 22 656
Lu Deng United States 23 683 2.7× 564 2.5× 84 0.5× 133 1.0× 80 0.8× 42 1.4k
Olivia Susanto Australia 9 250 1.0× 240 1.1× 130 0.8× 135 1.0× 86 0.9× 15 596
Catarina Sacristán United States 7 152 0.6× 450 2.0× 188 1.1× 46 0.3× 52 0.5× 9 704
Z. Sean Juo United States 9 511 2.0× 430 1.9× 147 0.9× 60 0.5× 35 0.4× 9 1.2k
Anne Reversat Austria 8 205 0.8× 365 1.6× 85 0.5× 303 2.3× 102 1.1× 9 763
Roos A. Karssemeijer United States 6 370 1.4× 337 1.5× 102 0.6× 59 0.4× 21 0.2× 6 721
Claudia Muratori United States 15 280 1.1× 231 1.0× 31 0.2× 31 0.2× 136 1.4× 28 746
Steven A. Chmura United States 8 351 1.4× 353 1.6× 93 0.5× 43 0.3× 60 0.6× 10 853
Sonia Agüera‐González United Kingdom 12 400 1.6× 587 2.6× 317 1.9× 123 0.9× 51 0.5× 12 1.0k
Jonathan Diep United States 10 573 2.2× 153 0.7× 79 0.5× 39 0.3× 33 0.3× 15 869

Countries citing papers authored by Karin Weening

Since Specialization
Citations

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

Fields of papers citing papers by Karin Weening

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karin Weening

This figure shows the co-authorship network connecting the top 25 collaborators of Karin Weening. A scholar is included among the top collaborators of Karin Weening 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 Karin Weening. Karin Weening 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.
Pille, Melissa, Glenn Goetgeluk, Stijn De Munter, et al.. (2023). The Wiskott–Aldrich syndrome protein is required for positive selection during T-cell lineage differentiation. Frontiers in Immunology. 14. 1188099–1188099. 4 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
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Durinck, Kaat, Marieke Lavaert, Joni Van der Meulen, et al.. (2020). Distinct Notch1 and BCL11B requirements mediate human γδ/αβ T cell development. EMBO Reports. 21(5). e49006–e49006. 21 indexed citations
6.
Munter, Stijn De, Alexander Van Parys, Glenn Goetgeluk, et al.. (2020). Rapid and Effective Generation of Nanobody Based CARs using PCR and Gibson Assembly. International Journal of Molecular Sciences. 21(3). 883–883. 28 indexed citations
7.
Goetgeluk, Glenn, Sarah Bonte, Stijn De Munter, et al.. (2020). Human Thymic CD10+ PD-1+ Intraepithelial Lymphocyte Precursors Acquire Interleukin-15 Responsiveness at the CD1a– CD95+ CD28– CCR7– Developmental Stage. International Journal of Molecular Sciences. 21(22). 8785–8785. 5 indexed citations
8.
Papadopoulou, Maria V., Deborah Gatti, Naomi McGovern, et al.. (2019). The human fetal thymus generates invariant effector γδ T cells. The Journal of Experimental Medicine. 217(3). 65 indexed citations
9.
Munter, Stijn De, Glenn Goetgeluk, Sarah Bonte, et al.. (2018). Nanobody Based Dual Specific CARs. International Journal of Molecular Sciences. 19(2). 403–403. 101 indexed citations
10.
Desombere, Isabelle, Ahmed Atef Mesalam, Richard A. Urbanowicz, et al.. (2017). A novel neutralizing human monoclonal antibody broadly abrogates hepatitis C virus infection in vitro and in vivo. Antiviral Research. 148. 53–64. 20 indexed citations
11.
Vermijlen, David, Liesbet Martens, Glenn Goetgeluk, et al.. (2017). The checkpoint for agonist selection precedes conventional selection in human thymus. Science Immunology. 2(8). 37 indexed citations
12.
Naessens, Evelien, Anouk Van Nuffel, Karin Weening, et al.. (2016). HIV-1 Vpr N-terminal tagging affects alternative splicing of the viral genome. Scientific Reports. 6(1). 34573–34573. 9 indexed citations
13.
Foquet, Lander, Cornelus C. Hermsen, Geert‐Jan van Gemert, et al.. (2013). Vaccine-induced monoclonal antibodies targeting circumsporozoite protein prevent Plasmodium falciparum infection. Journal of Clinical Investigation. 124(1). 140–144. 111 indexed citations
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King, Jason, Regina Teo, Karin Weening, et al.. (2010). Genetic Control of Lithium Sensitivity and Regulation of Inositol Biosynthetic Genes. PLoS ONE. 5(6). e11151–e11151. 22 indexed citations
16.
Meima, Marcel E., Karin Weening, & Pauline Schaap. (2007). Vectors for expression of proteins with single or combinatorial fluorescent protein and tandem affinity purification tags in Dictyostelium. Protein Expression and Purification. 53(2). 283–288. 29 indexed citations
17.
Weening, Karin, et al.. (2003). Contrasting activities of the aggregative and late PDSA promoters in Dictyostelium development. Developmental Biology. 255(2). 373–382. 7 indexed citations
18.
Meima, Marcel E., Karin Weening, & Pauline Schaap. (2003). Characterization of a cAMP-stimulated cAMP Phosphodiesterase inDictyostelium discoideum. Journal of Biological Chemistry. 278(16). 14356–14362. 20 indexed citations
19.
Saran, Shweta, Marcel E. Meima, Elisa Alvarez‐Curto, et al.. (2002). cAMP signaling in Dictyostelium. Complexity of cAMP synthesis, degradation and detection.. Journal of Muscle Research and Cell Motility. 23(7/8). 793–802. 75 indexed citations
20.
Es, Saskia van, Karin Weening, & Peter N. Devreotes. (2001). The Protein Kinase YakA Regulates G-protein-linked Signaling Responses during Growth and Development ofDictyostelium. Journal of Biological Chemistry. 276(33). 30761–30765. 17 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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