Anne Baroin‐Tourancheau

402 total citations
18 papers, 340 citations indexed

About

Anne Baroin‐Tourancheau is a scholar working on Molecular Biology, Cancer Research and Ecology. According to data from OpenAlex, Anne Baroin‐Tourancheau has authored 18 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Ecology. Recurrent topics in Anne Baroin‐Tourancheau's work include Protist diversity and phylogeny (11 papers), MicroRNA in disease regulation (7 papers) and Microbial Community Ecology and Physiology (5 papers). Anne Baroin‐Tourancheau is often cited by papers focused on Protist diversity and phylogeny (11 papers), MicroRNA in disease regulation (7 papers) and Microbial Community Ecology and Physiology (5 papers). Anne Baroin‐Tourancheau collaborates with scholars based in France, Italy and Spain. Anne Baroin‐Tourancheau's co-authors include Pilar Delgado, Roland Perasso, A Adoutte, Laurence Amar, Mohammed Taouis, Eduardo Villalobo, Claire‐Marie Vacher, Clara Moch, Delphine Crépin and Michel Lemullois and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Journal of Cell Science.

In The Last Decade

Anne Baroin‐Tourancheau

18 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne Baroin‐Tourancheau France 10 284 128 61 56 41 18 340
Günter Cleffmann Germany 12 305 1.1× 134 1.0× 101 1.7× 13 0.2× 46 1.1× 29 421
Marie‐Cécile De Cian France 10 248 0.9× 72 0.6× 23 0.4× 47 0.8× 45 1.1× 13 403
Marcella D. Cervantes United States 6 405 1.4× 77 0.6× 97 1.6× 24 0.4× 62 1.5× 7 433
Núria Sánchez-Pons Spain 6 235 0.8× 54 0.4× 91 1.5× 7 0.1× 28 0.7× 7 354
Nobuyuki Haga Japan 12 312 1.1× 91 0.7× 60 1.0× 9 0.2× 60 1.5× 30 385
Vickie Trinh United States 5 649 2.3× 53 0.4× 16 0.3× 78 1.4× 58 1.4× 6 724
Anne Le Mouël France 10 559 2.0× 189 1.5× 63 1.0× 18 0.3× 35 0.9× 11 604
M Prajer Poland 8 336 1.2× 210 1.6× 31 0.5× 4 0.1× 20 0.5× 23 350
Anna Bakhrat Israel 12 211 0.7× 43 0.3× 93 1.5× 13 0.2× 77 1.9× 22 368
Rafał Milanowski Poland 15 442 1.6× 337 2.6× 17 0.3× 14 0.3× 10 0.2× 38 523

Countries citing papers authored by Anne Baroin‐Tourancheau

Since Specialization
Citations

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

Fields of papers citing papers by Anne Baroin‐Tourancheau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne Baroin‐Tourancheau. 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 Anne Baroin‐Tourancheau. The network helps show where Anne Baroin‐Tourancheau may publish in the future.

Co-authorship network of co-authors of Anne Baroin‐Tourancheau

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Baroin‐Tourancheau. A scholar is included among the top collaborators of Anne Baroin‐Tourancheau 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 Anne Baroin‐Tourancheau. Anne Baroin‐Tourancheau 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.
Baroin‐Tourancheau, Anne, et al.. (2019). Evaluating and Correcting Inherent Bias of microRNA Expression in Illumina Sequencing Analysis. Frontiers in Molecular Biosciences. 6. 17–17. 6 indexed citations
2.
Crépin, Delphine, Laure Riffault, Ghislaine Poizat, et al.. (2018). miRNA Long-Term Response to Early Metabolic Environmental Challenge in Hypothalamic Arcuate Nucleus. Frontiers in Molecular Neuroscience. 11. 90–90. 7 indexed citations
3.
Baroin‐Tourancheau, Anne, et al.. (2017). Holistic and Affordable Analyses of MicroRNA Expression Profiles Using Tagged cDNA Libraries and a Multiplex Sequencing Strategy. Methods in molecular biology. 1654. 179–196. 4 indexed citations
4.
Vacher, Claire‐Marie, et al.. (2016). Substantial and robust changes in microRNA transcriptome support postnatal development of the hypothalamus in rat. Scientific Reports. 6(1). 24896–24896. 20 indexed citations
5.
Baroin‐Tourancheau, Anne, et al.. (2016). Lessons from microRNA Sequencing Using Illumina Technology. Advances in Bioscience and Biotechnology. 7(7). 319–328. 9 indexed citations
6.
Baroin‐Tourancheau, Anne, et al.. (2013). Keys for microRNA expression profiling of single rat hypothalamic nuclei and multiplex sequencing strategies. Experimental Physiology. 99(1). 72–77. 3 indexed citations
7.
Amar, Laurence, et al.. (2012). MicroRNA expression profiling of hypothalamic arcuate and paraventricular nuclei from single rats using Illumina sequencing technology. Journal of Neuroscience Methods. 209(1). 134–143. 44 indexed citations
8.
Aubusson‐Fleury, Anne, et al.. (2010). Multiple Uses of Lys63-Polyubiquitination in the Ciliate Sterkiella histriomuscorum. Protist. 161(3). 479–488. 5 indexed citations
9.
Lemullois, Michel, et al.. (2008). Differentially expressed genes during the encystment–excystment cycle of the ciliate Sterkiella histriomuscorum. European Journal of Protistology. 44(4). 278–286. 21 indexed citations
10.
Baroin‐Tourancheau, Anne, et al.. (2005). Proposed Function of the Accumulation of Plasma Membrane-Type Ca 2+ -ATPase mRNA in Resting Cysts of the Ciliate Sterkiella histriomuscorum. Eukaryotic Cell. 4(1). 103–110. 4 indexed citations
12.
Kloetzel, John A., et al.. (2003). Plateins: A Novel Family of Signal Peptide‐Containing Articulins in Euplotid Ciliates1. Journal of Eukaryotic Microbiology. 50(1). 19–33. 13 indexed citations
13.
Kloetzel, John A., et al.. (2003). Cytoskeletal proteins with N-terminal signal peptides: plateins in the ciliateEuplotesdefine a new family of articulins. Journal of Cell Science. 116(7). 1291–1303. 9 indexed citations
14.
Villalobo, Eduardo, et al.. (2002). A Homologue of CROC-1 in a Ciliated Protist (Sterkiella histriomuscorum) Testifies to the Ancient Origin of the Ubiquitin-conjugating Enzyme Variant Family. Molecular Biology and Evolution. 19(1). 39–48. 19 indexed citations
15.
Villalobo, Eduardo, Clara Moch, Roland Perasso, & Anne Baroin‐Tourancheau. (2001). Searching for Excystment‐Regulated Genes in Sterkiella histriomuscorum (Ciliophora, Oxytrichidae): A mRNA Differential Display Analysis of Gene Expression in Excysting Cells. Journal of Eukaryotic Microbiology. 48(3). 382–390. 12 indexed citations
16.
Adoutte, André, Anne Baroin‐Tourancheau, Marie‐Hélène Bré, et al.. (1994). Isolation and characterization of libraries of monoclonal antibodies directed against various forms of tubulin in Paramecium. Biology of the Cell. 81(2). 95–119. 56 indexed citations
17.
Baroin‐Tourancheau, Anne, Pilar Delgado, Roland Perasso, & A Adoutte. (1992). A broad molecular phylogeny of ciliates: identification of major evolutionary trends and radiations within the phylum.. Proceedings of the National Academy of Sciences. 89(20). 9764–9768. 97 indexed citations
18.
Perasso, Roland & Anne Baroin‐Tourancheau. (1992). [Eukaryogenesis: a model derivated from ribosomal RNA molecular phylogenise].. PubMed. 186(6). 656–65. 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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