Ghislain Bidaut

1.4k total citations
28 papers, 501 citations indexed

About

Ghislain Bidaut is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Ghislain Bidaut has authored 28 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Immunology and 4 papers in Oncology. Recurrent topics in Ghislain Bidaut's work include Gene expression and cancer classification (12 papers), Bioinformatics and Genomic Networks (10 papers) and Genomics and Phylogenetic Studies (4 papers). Ghislain Bidaut is often cited by papers focused on Gene expression and cancer classification (12 papers), Bioinformatics and Genomic Networks (10 papers) and Genomics and Phylogenetic Studies (4 papers). Ghislain Bidaut collaborates with scholars based in France, United States and United Kingdom. Ghislain Bidaut's co-authors include Michael F. Ochs, François Bertucci, Pascal Finetti, Daniel Birnbaum, Emmanuelle Charafe‐Jauffret, Olivier Cabaud, Christophe Ginestier, Samuel Granjeaud, Daniel Olive and Laurent Guyon and has published in prestigious journals such as Bioinformatics, PLoS ONE and Cancer Research.

In The Last Decade

Ghislain Bidaut

27 papers receiving 495 citations

Peers

Ghislain Bidaut

IMMUN

ONCOL

Christina C. Luo United States

Chiara Vardabasso United States

Xiang-Yang Zhong United States

Pooja Bhat Austria

Reed Jc United States

Thomas Metz Germany

Nayantara Kothari United States

Erlina S. Pali United States

Jean-Marc Navenot United States

Zeping Luo United States

Christina C. Luo United States

Ghislain Bidaut

312 ×1.0

128 ×1.0

IMMUN

183 ×1.5

162 ×1.4

ONCOL

48 ×1.2

Citations per year, relative to Ghislain Bidaut Ghislain Bidaut (= 1×) peers Christina C. Luo

Countries citing papers authored by Ghislain Bidaut

Since Specialization

Citations

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

Fields of papers citing papers by Ghislain Bidaut

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ghislain Bidaut

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

All Works

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20 of 20 papers shown

Hussain, Zainab, Pascal Finetti, Émilie Mamessier, et al.. (2024). Macrophages reprogramming driven by cancer-associated fibroblasts under FOLFIRINOX treatment correlates with shorter survival in pancreatic cancer. Cell Communication and Signaling. 22(1). 1–1. 10 indexed citations

Rigo, Riccardo, Rabie Chelbi, Julie Agopian, et al.. (2022). TET2 regulates immune tolerance in chronically activated mast cells. JCI Insight. 7(7). 6 indexed citations

Bonnet, Marion, Guillaume Pénaranda, Ghislain Bidaut, et al.. (2022). Human Stool Preservation Impacts Taxonomic Profiles in 16S Metagenomics Studies. Frontiers in Cellular and Infection Microbiology. 12. 722886–722886. 8 indexed citations

Bidaut, Ghislain, et al.. (2021). Sustained experimental activation of FGF8/ERK in the developing chicken spinal cord models early events in ERK-mediated tumorigenesis. Neoplasia. 24(2). 120–132. 5 indexed citations

Just‐Landi, Sylvaine, Joanna Fares, Raphaël Leblanc, et al.. (2021). Chronic IL-15 Stimulation and Impaired mTOR Signaling and Metabolism in Natural Killer Cells During Acute Myeloid Leukemia. Frontiers in Immunology. 12. 730970–730970. 15 indexed citations

Grandis, Maria De, Florence Bardin, Cyril Fauriat, et al.. (2017). JAM-C Identifies Src Family Kinase-Activated Leukemia-Initiating Cells and Predicts Poor Prognosis in Acute Myeloid Leukemia. Cancer Research. 77(23). 6627–6640. 18 indexed citations

Pinna, Guillaume, Olivier Cabaud, Julien Wicinski, et al.. (2017). miR-600 Acts as a Bimodal Switch that Regulates Breast Cancer Stem Cell Fate through WNT Signaling. Cell Reports. 18(9). 2256–2268. 108 indexed citations

Gondois‐Rey, Françoise, Antoine Chéret, Françoise Mallet, et al.. (2017). A Mature NK Profile at the Time of HIV Primary Infection Is Associated with an Early Response to cART. Frontiers in Immunology. 8. 54–54. 23 indexed citations

Gondois‐Rey, Françoise, Antoine Chéret, Samuel Granjeaud, et al.. (2017). NKG2C⁺ memory‐like NK cells contribute to the control of HIV viremia during primary infection: Optiprim‐ANRS 147. Clinical & Translational Immunology. 6(7). e150–e150. 45 indexed citations

10.

Charafe‐Jauffret, Emmanuelle, et al.. (2017). HTS-Net: An integrated regulome-interactome approach for establishing network regulation models in high-throughput screenings. PLoS ONE. 12(9). e0185400–e0185400. 5 indexed citations

11.

Zangari, Joséphine, Mariagrazia Partisani, François Bertucci, et al.. (2014). EFA6B Antagonizes Breast Cancer. Cancer Research. 74(19). 5493–5506. 21 indexed citations

12.

Garcia, M., Pascal Finetti, François Bertucci, Daniel Birnbaum, & Ghislain Bidaut. (2013). Detection of Driver Protein Complexes in Breast Cancer Metastasis by Large-Scale Transcriptome–Interactome Integration. Methods in molecular biology. 1101. 67–85.

13.

Bekhouche, Ismahane, Pascal Finetti, José Adélaı̈de, et al.. (2011). High-Resolution Comparative Genomic Hybridization of Inflammatory Breast Cancer and Identification of Candidate Genes. PLoS ONE. 6(2). e16950–e16950. 49 indexed citations

14.

Ochs, Michael F., Aidan J. Peterson, Andrew V. Kossenkov, & Ghislain Bidaut. (2007). Incorporation of Gene Ontology Annotations to Enhance Microarray Data Analysis. Methods in molecular biology. 377. 243–254. 13 indexed citations

15.

Bidaut, Ghislain. (2007). Gene Function Inference From Gene Expression of Deletion Mutants. Methods in molecular biology. 408. 1–18. 1 indexed citations

16.

Bidaut, Ghislain, Karsten Suhre, Jean‐Michel Claverie, & Michael F. Ochs. (2006). Determination of strongly overlapping signaling activity from microarray data. BMC Bioinformatics. 7(1). 99–99. 19 indexed citations

17.

Bidaut, Ghislain, Karsten Suhre, Jean‐Michel Claverie, & Michael F. Ochs. (2005). Bayesian Decomposition Analysis of Bacterial Phylogenomic Profiles. PubMed. 5(1). 63–70. 2 indexed citations

18.

Bidaut, Ghislain, Frank J. Manion, Christophe García, & Michael F. Ochs. (2005). WaveRead: Automatic measurement of relative gene expression levels from microarrays using wavelet analysis. Journal of Biomedical Informatics. 39(4). 379–388. 6 indexed citations

19.

Somers, Luke A., et al.. (2004). FGDP: functional genomics data pipeline for automated, multiple microarray data analyses. Bioinformatics. 20(2). 282–283. 6 indexed citations

20.

Bidaut, Ghislain & Michael F. Ochs. (2004). ClutrFree: cluster tree visualization and interpretation. Bioinformatics. 20(16). 2869–2871. 18 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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