Pierre Lau

2.6k total citations
31 papers, 2.0k citations indexed

About

Pierre Lau is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Pierre Lau has authored 31 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 14 papers in Cancer Research and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Pierre Lau's work include MicroRNA in disease regulation (12 papers), RNA Research and Splicing (8 papers) and Circular RNAs in diseases (5 papers). Pierre Lau is often cited by papers focused on MicroRNA in disease regulation (12 papers), RNA Research and Splicing (8 papers) and Circular RNAs in diseases (5 papers). Pierre Lau collaborates with scholars based in United States, Belgium and United Kingdom. Pierre Lau's co-authors include Lynn D. Hudson, Bart De Strooper, Carlo Sala Frigerio, Joseph A. Nielsen, Lucia Notterpek, Jonathan D. Verrier, Evgenia Salta, Kory R. Johnson, Koen Bossers and Attila Lehotzky and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

In The Last Decade

Pierre Lau

31 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierre Lau United States 22 1.2k 864 348 310 294 31 2.0k
Miguel A. López‐Toledano United States 18 1.1k 0.9× 685 0.8× 421 1.2× 408 1.3× 373 1.3× 27 1.9k
Heng Wu China 22 1.4k 1.1× 650 0.8× 335 1.0× 292 0.9× 173 0.6× 43 2.2k
Akira Yoshii United States 20 1.4k 1.2× 733 0.8× 204 0.6× 642 2.1× 197 0.7× 38 2.4k
Aikaterini S. Papadopoulou Belgium 11 1.8k 1.5× 1.6k 1.9× 154 0.4× 232 0.7× 582 2.0× 13 2.6k
Dianshuai Gao China 25 856 0.7× 361 0.4× 205 0.6× 418 1.3× 107 0.4× 125 1.8k
Rime Madani Switzerland 16 584 0.5× 426 0.5× 127 0.4× 464 1.5× 279 0.9× 25 1.6k
Eneritz Agirre Sweden 17 1.3k 1.1× 498 0.6× 606 1.7× 202 0.7× 192 0.7× 22 2.3k
Delphine Bernard France 18 1.1k 0.9× 529 0.6× 196 0.6× 164 0.5× 97 0.3× 27 2.1k
Jannet Kocerha United States 17 1.3k 1.0× 924 1.1× 114 0.3× 245 0.8× 106 0.4× 21 1.9k
Liviu Aron United States 14 1.3k 1.1× 252 0.3× 149 0.4× 504 1.6× 626 2.1× 20 2.4k

Countries citing papers authored by Pierre Lau

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Lau

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Lau. A scholar is included among the top collaborators of Pierre Lau 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 Pierre Lau. Pierre Lau 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.
Montani, Caterina, Luigi Balasco, Marco Pagani, et al.. (2024). Sex-biasing influence of autism-associated Ube3a gene overdosage at connectomic, behavioral, and transcriptomic levels. Science Advances. 10(28). eadg1421–eadg1421. 6 indexed citations
2.
Mangoni, Damiano, Alessandro Simi, Pierre Lau, et al.. (2023). LINE-1 regulates cortical development by acting as long non-coding RNAs. Nature Communications. 14(1). 4974–4974. 22 indexed citations
3.
Oku, Yusuke, Federica Madia, Pierre Lau, et al.. (2022). Analyses of Transcriptomics Cell Signalling for Pre-Screening Applications in the Integrated Approach for Testing and Assessment of Non-Genotoxic Carcinogens. International Journal of Molecular Sciences. 23(21). 12718–12718. 10 indexed citations
4.
Forcella, Matilde, Pierre Lau, Pasquale Melchioretto, et al.. (2019). Neuronal specific and non-specific responses to cadmium possibly involved in neurodegeneration: A toxicogenomics study in a human neuronal cell model. NeuroToxicology. 76. 162–173. 53 indexed citations
5.
Pamies, David, Pierre Lau, Laura Gribaldo, et al.. (2018). Rotenone exerts developmental neurotoxicity in a human brain spheroid model. Toxicology and Applied Pharmacology. 354. 101–114. 106 indexed citations
6.
Aghaee‐Bakhtiari, Seyed Hamid, Ehsan Arefian, & Pierre Lau. (2016). miRandb: a resource of online services for miRNA research. Briefings in Bioinformatics. 19(2). bbw109–bbw109. 22 indexed citations
7.
Lau, Pierre, Carlo Sala Frigerio, & Bart De Strooper. (2014). Variance in the identification of microRNAs deregulated in Alzheimer's disease and possible role of lincRNAs in the pathology: The need of larger datasets. Ageing Research Reviews. 17. 43–53. 49 indexed citations
8.
Yamazaki, Fumiyoshi, Hyun Hee Kim, Pierre Lau, et al.. (2014). pY RNA1-s2: A Highly Retina-Enriched Small RNA That Selectively Binds to Matrin 3 (Matr3). PLoS ONE. 9(2). e88217–e88217. 16 indexed citations
9.
Wong, Hiu Yi, Thirugnanam Umapathi, Nortina Shahrizaila, et al.. (2014). The value of comparing mortality of Guillain–Barré syndrome across different regions. Journal of the Neurological Sciences. 344(1-2). 60–62. 24 indexed citations
10.
Papadopoulou, Aikaterini S., Lutgarde Serneels, Tilmann Achsel, et al.. (2014). Deficiency of the miR-29a/b-1 cluster leads to ataxic features and cerebellar alterations in mice. Neurobiology of Disease. 73. 275–288. 50 indexed citations
11.
Lau, Pierre, Koen Bossers, Rekin’s Janky, et al.. (2013). Alteration of the micro RNA network during the progression of Alzheimer's disease. EMBO Molecular Medicine. 5(10). 1613–1634. 377 indexed citations
12.
Clokie, Samuel, et al.. (2012). MicroRNAs in the Pineal Gland. Journal of Biological Chemistry. 287(30). 25312–25324. 62 indexed citations
13.
Lau, Pierre & Bart De Strooper. (2010). Dysregulated microRNAs in neurodegenerative disorders. Seminars in Cell and Developmental Biology. 21(7). 768–773. 81 indexed citations
14.
Tőkési, Natália, Attila Lehotzky, István Horváth, et al.. (2010). TPPP/p25 Promotes Tubulin Acetylation by Inhibiting Histone Deacetylase 6. Journal of Biological Chemistry. 285(23). 17896–17906. 88 indexed citations
15.
Lau, Pierre & Lynn D. Hudson. (2010). MicroRNAs in neural cell differentiation. Brain Research. 1338. 14–19. 39 indexed citations
16.
Verrier, Jonathan D., Pierre Lau, Lynn D. Hudson, et al.. (2009). Peripheral myelin protein 22 is regulated post‐transcriptionally by miRNA‐29a. Glia. 57(12). 1265–1279. 84 indexed citations
17.
Nielsen, Joseph A., Pierre Lau, Dragan Maric, Jeffery L. Barker, & Lynn D. Hudson. (2009). Integrating microRNA and mRNA expression profiles of neuronal progenitors to identify regulatory networks underlying the onset of cortical neurogenesis. BMC Neuroscience. 10(1). 98–98. 61 indexed citations
18.
Lau, Pierre, Jonathan D. Verrier, Joseph A. Nielsen, et al.. (2008). Identification of Dynamically Regulated MicroRNA and mRNA Networks in Developing Oligodendrocytes. Journal of Neuroscience. 28(45). 11720–11730. 204 indexed citations
19.
20.

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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