Guy Werlen

2.6k total citations · 1 hit paper
27 papers, 2.1k citations indexed

About

Guy Werlen is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Guy Werlen has authored 27 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Immunology and 6 papers in Cancer Research. Recurrent topics in Guy Werlen's work include T-cell and B-cell Immunology (12 papers), Immune Cell Function and Interaction (10 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). Guy Werlen is often cited by papers focused on T-cell and B-cell Immunology (12 papers), Immune Cell Function and Interaction (10 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). Guy Werlen collaborates with scholars based in United States, Switzerland and United Kingdom. Guy Werlen's co-authors include Ed Palmer, Barbara Hausmann, Estela Jacinto, Mark A. Daniëls, Nicholas R. J. Gascoigne, Dieter Naeher, Emma Teixeiro, Kaisa Holmberg, Jason Gill and Georg A. Holländer and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Guy Werlen

26 papers receiving 2.1k citations

Hit Papers

The Hexosamine Biosynthesis Pathway: Regulation and Function 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guy Werlen United States 18 1.3k 972 427 230 143 27 2.1k
Luca Simeoni Germany 24 965 0.8× 1.0k 1.1× 383 0.9× 155 0.7× 110 0.8× 49 2.1k
Anne Quillet‐Mary France 23 735 0.6× 943 1.0× 407 1.0× 159 0.7× 106 0.7× 54 1.9k
Eiji Kobayashi Japan 16 699 0.5× 792 0.8× 619 1.4× 170 0.7× 62 0.4× 39 1.6k
Sühendan Ekmekçioglu United States 28 920 0.7× 1.1k 1.1× 1.1k 2.7× 314 1.4× 109 0.8× 47 2.4k
Drell A. Bottorff Canada 13 577 0.5× 1.1k 1.1× 305 0.7× 111 0.5× 199 1.4× 19 1.7k
Marianne Broome Powell United States 21 436 0.3× 978 1.0× 563 1.3× 347 1.5× 280 2.0× 34 1.8k
Chi‐Dug Kang South Korea 29 717 0.6× 857 0.9× 931 2.2× 245 1.1× 97 0.7× 69 2.0k
Theo A. Berkhout United Kingdom 20 747 0.6× 710 0.7× 923 2.2× 197 0.9× 95 0.7× 28 1.9k
Annick Verhee Belgium 24 567 0.4× 651 0.7× 446 1.0× 86 0.4× 127 0.9× 41 1.7k
Ewen Gallagher United States 16 524 0.4× 1.3k 1.4× 463 1.1× 447 1.9× 229 1.6× 22 1.9k

Countries citing papers authored by Guy Werlen

Since Specialization
Citations

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

Fields of papers citing papers by Guy Werlen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guy Werlen

This figure shows the co-authorship network connecting the top 25 collaborators of Guy Werlen. A scholar is included among the top collaborators of Guy Werlen 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 Guy Werlen. Guy Werlen 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.
Z., Oak, et al.. (2024). Inhibition of p70 Ribosomal S6 Kinase (S6K1) Reduces Cortical Blood Flow in a Rat Model of Autism-Tuberous Sclerosis. NeuroMolecular Medicine. 26(1). 10–10. 1 indexed citations
2.
Werlen, Guy, et al.. (2024). Food for thought: Nutrient metabolism controlling early T cell development. BioEssays. 47(1). e2400179–e2400179. 2 indexed citations
3.
Werlen, Guy, et al.. (2023). The Hexosamine Biosynthesis Pathway: Regulation and Function. Genes. 14(4). 933–933. 99 indexed citations breakdown →
4.
Werlen, Guy, Meiling Li, Victoria da Silva-Diz, et al.. (2022). Dietary glucosamine overcomes the defects in αβ-T cell ontogeny caused by the loss of de novo hexosamine biosynthesis. Nature Communications. 13(1). 7404–7404. 10 indexed citations
5.
Li, Mei-Ling, et al.. (2022). The RNA-binding protein AUF1 facilitates Akt phosphorylation at the membrane. Journal of Biological Chemistry. 298(10). 102437–102437. 5 indexed citations
6.
Moloughney, Joseph G., Peter K. Kim, Austin Chang, et al.. (2018). mTORC2 modulates the amplitude and duration of GFAT1 Ser-243 phosphorylation to maintain flux through the hexosamine pathway during starvation. Journal of Biological Chemistry. 293(42). 16464–16478. 39 indexed citations
7.
Moloughney, Joseph G., Peter K. Kim, Sisi Zhang, et al.. (2016). mTORC2 Responds to Glutamine Catabolite Levels to Modulate the Hexosamine Biosynthesis Enzyme GFAT1. Molecular Cell. 63(5). 811–826. 109 indexed citations
8.
Oh, Won Jun, Joseph G. Moloughney, Markus A. Rüegg, et al.. (2014). Mammalian Target of Rapamycin Complex 2 Modulates αβTCR Processing and Surface Expression during Thymocyte Development. The Journal of Immunology. 193(3). 1162–1170. 21 indexed citations
9.
Pastorino, Sandra, Erin L. Filbert, Florian J. Sulzmaier, et al.. (2010). The death effector domain protein PEA‐15 negatively regulates T‐cell receptor signaling. The FASEB Journal. 24(8). 2818–2828. 16 indexed citations
10.
Clarke, Raedun, et al.. (2009). A new function for LAT and CD8 during CD8‐mediated apoptosis that is independent of TCR signal transduction. European Journal of Immunology. 39(6). 1619–1631. 5 indexed citations
11.
Daniëls, Mark A., Emma Teixeiro, Jason Gill, et al.. (2006). Thymic selection threshold defined by compartmentalization of Ras/MAPK signalling. Nature. 444(7120). 724–729. 459 indexed citations
12.
Lovatt, Matthew, Andrew Filby, Valentino Parravicini, et al.. (2006). Lck Regulates the Threshold of Activation in Primary T Cells, While both Lck and Fyn Contribute to the Magnitude of the Extracellular Signal-Related Kinase Response. Molecular and Cellular Biology. 26(22). 8655–8665. 95 indexed citations
13.
Werlen, Guy & Ed Palmer. (2002). The T-cell receptor signalosome: a dynamic structure with expanding complexity. Current Opinion in Immunology. 14(3). 299–305. 106 indexed citations
14.
Rosette, Caridad, Guy Werlen, Mark A. Daniëls, et al.. (2001). The Impact of Duration versus Extent of TCR Occupancy on T Cell Activation. Immunity. 15(1). 59–70. 202 indexed citations
15.
Werlen, Guy, Barbara Hausmann, & Ed Palmer. (2000). A motif in the αβ T-cell receptor controls positive selection by modulating ERK activity. Nature. 406(6794). 422–426. 164 indexed citations
16.
Luo, Z. David, Yibin Wang, Guy Werlen, et al.. (1999). Calcineurin Enhances Acetylcholinesterase mRNA Stability during C2-C12 Muscle Cell Differentiation. Molecular Pharmacology. 56(5). 886–894. 3 indexed citations
17.
Werlen, Guy. (1998). Calcineurin preferentially synergizes with PKC-theta to activate JNK and IL-2 promoter in T lymphocytes. The EMBO Journal. 17(11). 3101–3111. 242 indexed citations
18.
Jacinto, Estela, Guy Werlen, & Michael Karin. (1998). Cooperation between Syk and Rac1 Leads to Synergistic JNK Activation in T Lymphocytes. Immunity. 8(1). 31–41. 117 indexed citations
19.
Slosman, D.O., et al.. (1990). Bleomycin primes monocytes-macrophages for superoxide production. European Respiratory Journal. 3(7). 772–778. 25 indexed citations
20.
Polla, Barbara S., Guy Werlen, Michel Clerget, et al.. (1989). 1,25-Dihydroxyvitamin D3 Induces Responsiveness to the Chemotactic Peptide f-Met-Leu-Phe in the Human Monocytic Line U937: Dissociation Between Calcium and Oxidative Metabolic Responses. Journal of Leukocyte Biology. 45(5). 381–388. 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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