Isabelle Piuz

642 total citations
18 papers, 530 citations indexed

About

Isabelle Piuz is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Infectious Diseases. According to data from OpenAlex, Isabelle Piuz has authored 18 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 3 papers in Infectious Diseases. Recurrent topics in Isabelle Piuz's work include Viral Infections and Immunology Research (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and RNA Research and Splicing (5 papers). Isabelle Piuz is often cited by papers focused on Viral Infections and Immunology Research (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and RNA Research and Splicing (5 papers). Isabelle Piuz collaborates with scholars based in Switzerland and Japan. Isabelle Piuz's co-authors include Werner Schlegel, Toshitsugu Fujita, Stephan Ryser, Stephen R. Rawlings, Joël Bockaert, Laurent Journot, Caroline Tapparel, Samuel Constant, Song Huang and Valeria Cagno and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Isabelle Piuz

18 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isabelle Piuz Switzerland 13 282 110 85 84 79 18 530
Pádraig Hart United States 9 396 1.4× 112 1.0× 79 0.9× 69 0.8× 30 0.4× 14 755
Luis León Chile 15 268 1.0× 31 0.3× 74 0.9× 140 1.7× 392 5.0× 21 843
Maribel Grande Spain 16 270 1.0× 40 0.4× 114 1.3× 60 0.7× 44 0.6× 33 826
Barbara Fegley United States 9 179 0.6× 25 0.2× 33 0.4× 147 1.8× 131 1.7× 12 691
Sadi Köksoy Türkiye 15 238 0.8× 35 0.3× 59 0.7× 83 1.0× 186 2.4× 45 668
Sandra Dollet France 8 155 0.5× 70 0.6× 22 0.3× 58 0.7× 48 0.6× 13 453
Yu Hong China 15 163 0.6× 24 0.2× 125 1.5× 50 0.6× 123 1.6× 37 690
Kristin Hartmann Germany 10 125 0.4× 62 0.6× 27 0.3× 18 0.2× 37 0.5× 17 330

Countries citing papers authored by Isabelle Piuz

Since Specialization
Citations

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

Fields of papers citing papers by Isabelle Piuz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabelle Piuz

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

All Works

18 of 18 papers shown
1.
Essaidi-Laziosi, Manel, Léna Royston, Bernadett Boda, et al.. (2023). Altered cell function and increased replication of rhinoviruses and EV-D68 in airway epithelia of asthma patients. Frontiers in Microbiology. 14. 1106945–1106945. 3 indexed citations
2.
Prados, Julien, et al.. (2022). Comparison of tissue tropism and host response to enteric and respiratory enteroviruses. PLoS Pathogens. 18(7). e1010632–e1010632. 7 indexed citations
3.
Tseligka, Eirini D., Komla Sobo, Luc Stoppini, et al.. (2018). A VP1 mutation acquired during an enterovirus 71 disseminated infection confers heparan sulfate binding ability and modulates ex vivo tropism. PLoS Pathogens. 14(8). e1007190–e1007190. 53 indexed citations
4.
Royston, Léna, Manel Essaidi-Laziosi, Francisco Rodríguez, et al.. (2018). Viral chimeras decrypt the role of enterovirus capsid proteins in viral tropism, acid sensitivity and optimal growth temperature. PLoS Pathogens. 14(4). e1006962–e1006962. 26 indexed citations
5.
Essaidi-Laziosi, Manel, Francisco Brito, Sacha Benaoudia, et al.. (2017). Propagation of respiratory viruses in human airway epithelia reveals persistent virus-specific signatures. Journal of Allergy and Clinical Immunology. 141(6). 2074–2084. 98 indexed citations
6.
Schibler, Manuel, Isabelle Piuz, Weidong Hao, & Caroline Tapparel. (2015). Chimeric Rhinoviruses Obtained via Genetic Engineering or Artificially Induced Recombination Are Viable Only if the Polyprotein Coding Sequence Derives from the Same Species. Journal of Virology. 89(8). 4470–4480. 12 indexed citations
7.
Fujita, Toshitsugu, Isabelle Piuz, & Werner Schlegel. (2010). Transcription elongation factors are involved in programming hormone production in pituitary neuroendocrine GH4C1 cells. Molecular and Cellular Endocrinology. 319(1-2). 63–70. 1 indexed citations
8.
Fujita, Toshitsugu, Isabelle Piuz, & Werner Schlegel. (2009). The transcription elongation factors NELF, DSIF and P‐TEFb control constitutive transcription in a gene‐specific manner. FEBS Letters. 583(17). 2893–2898. 17 indexed citations
9.
Fujita, Toshitsugu, Isabelle Piuz, & Werner Schlegel. (2008). Negative elongation factor NELF controls transcription of immediate early genes in a stimulus-specific manner. Experimental Cell Research. 315(2). 274–284. 19 indexed citations
10.
Fujita, Toshitsugu, Stephan Ryser, Isabelle Piuz, & Werner Schlegel. (2007). Up-Regulation of P-TEFb by the MEK1-Extracellular Signal-Regulated Kinase Signaling Pathway Contributes to Stimulated Transcription Elongation of Immediate Early Genes in Neuroendocrine Cells. Molecular and Cellular Biology. 28(5). 1630–1643. 34 indexed citations
11.
Fujita, Toshitsugu, Stephan Ryser, Silvia Tórtola, Isabelle Piuz, & Werner Schlegel. (2007). Gene-specific recruitment of positive and negative elongation factors during stimulated transcription of the MKP-1 gene in neuroendocrine cells. Nucleic Acids Research. 35(3). 1007–1017. 29 indexed citations
12.
Ryser, Stephan, Toshitsugu Fujita, Silvia Tórtola, Isabelle Piuz, & Werner Schlegel. (2006). The Rate of c-fos Transcription in Vivo Is Continuously Regulated at the Level of Elongation by Dynamic Stimulus-coupled Recruitment of Positive Transcription Elongation Factor b. Journal of Biological Chemistry. 282(7). 5075–5084. 25 indexed citations
14.
Maturana, Andrés D., et al.. (2002). Spontaneous Calcium Oscillations Control c-fosTranscription via the Serum Response Element in Neuroendocrine Cells. Journal of Biological Chemistry. 277(42). 39713–39721. 15 indexed citations
17.
Rawlings, Stephen R., Isabelle Piuz, Werner Schlegel, Joël Bockaert, & Laurent Journot. (1995). Differential expression of pituitary adenylate cyclase-activating polypeptide/vasoactive intestinal polypeptide receptor subtypes in clonal pituitary somatotrophs and gonadotrophs.. Endocrinology. 136(5). 2088–2098. 98 indexed citations
18.
Reid, John D., et al.. (1994). A dominant negative mutant of G-i2 inhibits phospholipase A-2 stimulation in CHO cells. 224. 1 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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