Vincent Cabeli

471 total citations
7 papers, 131 citations indexed

About

Vincent Cabeli is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Vincent Cabeli has authored 7 papers receiving a total of 131 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Artificial Intelligence and 3 papers in Cancer Research. Recurrent topics in Vincent Cabeli's work include Bayesian Modeling and Causal Inference (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Cancer-related molecular mechanisms research (2 papers). Vincent Cabeli is often cited by papers focused on Bayesian Modeling and Causal Inference (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Cancer-related molecular mechanisms research (2 papers). Vincent Cabeli collaborates with scholars based in France, United States and Italy. Vincent Cabeli's co-authors include Boris Muzellec, Maria Teleńczuk, Mathieu Andreux, Hervé Isambert, Marc Verny, Guido Uguzzoni, Pierre Charbord, Nathalie Chevallier, Marcel da Câmara Ribeiro-Dantas and Marick Laé and has published in prestigious journals such as Bioinformatics, Scientific Reports and eLife.

In The Last Decade

Vincent Cabeli

7 papers receiving 130 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vincent Cabeli France	5	66	20	15	14	11	7	131
Yuefan Huang United States	7	133 2.0×	26 1.3×	6 0.4×	19 1.4×	5 0.5×	12	191
Boris Muzellec France	5	55 0.8×	15 0.8×	15 1.0×	5 0.4×	8 0.7×	5	116
Amir Alavi United States	6	109 1.7×	17 0.8×	8 0.5×	20 1.4×	30 2.7×	10	156
Anissa Guillemin France	7	213 3.2×	20 1.0×	4 0.3×	36 2.6×	15 1.4×	9	268
Kunal Jindal United States	3	244 3.7×	28 1.4×	6 0.4×	32 2.3×	8 0.7×	4	283
Anupriya Dalmia United Kingdom	2	92 1.4×	15 0.8×	10 0.7×	17 1.2×	8 0.7×	2	140
Sandrine Gonin-Giraud France	6	190 2.9×	14 0.7×	5 0.3×	29 2.1×	9 0.8×	11	223
András Sablauer United States	6	96 1.5×	6 0.3×	7 0.5×	9 0.6×	7 0.6×	10	190
Rafael Fluxá Spain	3	27 0.4×	14 0.7×	7 0.5×	8 0.6×	2 0.2×	6	59
Subarna Palit Germany	4	56 0.8×	16 0.8×	2 0.1×	11 0.8×	4 0.4×	4	96

Countries citing papers authored by Vincent Cabeli

Since Specialization

Citations

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

Fields of papers citing papers by Vincent Cabeli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Cabeli

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

All Works

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7 of 7 papers shown

1.

Cabeli, Vincent, Jean Khoury, Christian Esposito, et al.. (2024). Robust evaluation of deep learning-based representation methods for survival and gene essentiality prediction on bulk RNA-seq data. Scientific Reports. 14(1). 17064–17064. 1 indexed citations

2.

Simon, Franck, Maria Colomba Comes, Vincent Cabeli, et al.. (2024). CausalXtract, a flexible pipeline to extract causal effects from live-cell time-lapse imaging data. eLife. 13. 2 indexed citations

3.

Ribeiro-Dantas, Marcel da Câmara, et al.. (2024). Learning interpretable causal networks from very large datasets, application to 400,000 medical records of breast cancer patients. iScience. 27(5). 109736–109736. 5 indexed citations

4.

Muzellec, Boris, Maria Teleńczuk, Vincent Cabeli, & Mathieu Andreux. (2023). PyDESeq2: a python package for bulk RNA-seq differential expression analysis. Bioinformatics. 39(9). 97 indexed citations

5.

Hamy, Anne‐Sophie, Vincent Cabeli, Lauren Darrigues, et al.. (2022). Interactive exploration of a global clinical network from a large breast cancer cohort. npj Digital Medicine. 5(1). 113–113. 5 indexed citations

6.

Cabeli, Vincent, et al.. (2020). Learning clinical networks from medical records based on information estimates in mixed-type data. PLoS Computational Biology. 16(5). e1007866–e1007866. 9 indexed citations

7.

Desterke, Christophe, Laurence Petit, Nathalie Chevallier, et al.. (2020). Inferring Gene Networks in Bone Marrow Hematopoietic Stem Cell-Supporting Stromal Niche Populations. iScience. 23(6). 101222–101222. 12 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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