E. Becker

1.3k total citations
66 papers, 934 citations indexed

About

E. Becker is a scholar working on Molecular Biology, Neurology and Computer Vision and Pattern Recognition. According to data from OpenAlex, E. Becker has authored 66 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 7 papers in Neurology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in E. Becker's work include Bioinformatics and Genomic Networks (11 papers), Fungal and yeast genetics research (9 papers) and Genomics and Chromatin Dynamics (7 papers). E. Becker is often cited by papers focused on Bioinformatics and Genomic Networks (11 papers), Fungal and yeast genetics research (9 papers) and Genomics and Chromatin Dynamics (7 papers). E. Becker collaborates with scholars based in France, Germany and United States. E. Becker's co-authors include Christine Brun, Charles E. Chapple, Raphaël Guérois, Bernard Jégou, Michael Primig, Alain Guénoche, Fátima Smagulova, Christine Kervarrec, Chunxiang Hao and Frédéric Chalmel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

E. Becker

60 papers receiving 906 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Becker France 18 545 83 72 64 61 66 934
André Kleensang Germany 18 359 0.7× 98 1.2× 76 1.1× 104 1.6× 58 1.0× 31 867
Raffaele Ferrari United Kingdom 7 381 0.7× 61 0.7× 63 0.9× 33 0.5× 17 0.3× 11 681
J. N. Forrest United States 20 793 1.5× 55 0.7× 31 0.4× 53 0.8× 35 0.6× 32 1.4k
Ryuya Horiuchi Japan 20 519 1.0× 222 2.7× 53 0.7× 24 0.4× 92 1.5× 69 1.5k
Abhijeet R. Sonawane United States 14 635 1.2× 181 2.2× 100 1.4× 64 1.0× 72 1.2× 24 997
Mamoru Nomura Japan 18 578 1.1× 59 0.7× 53 0.7× 23 0.4× 79 1.3× 52 1.2k
Demis A. Kia United Kingdom 7 377 0.7× 113 1.4× 68 0.9× 29 0.5× 23 0.4× 10 695
Tongbin Li United States 20 807 1.5× 69 0.8× 189 2.6× 18 0.3× 64 1.0× 40 1.1k
Giovanni Scardoni Italy 8 543 1.0× 73 0.9× 124 1.7× 68 1.1× 38 0.6× 11 850
R. J. C. Stewart United Kingdom 21 761 1.4× 154 1.9× 121 1.7× 137 2.1× 59 1.0× 44 2.0k

Countries citing papers authored by E. Becker

Since Specialization
Citations

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

Fields of papers citing papers by E. Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Becker

This figure shows the co-authorship network connecting the top 25 collaborators of E. Becker. A scholar is included among the top collaborators of E. Becker 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 E. Becker. E. Becker 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.
Becker, E., Maxime Wéry, Olivier Sallou, et al.. (2025). Pervasive formation of double-stranded RNAs by overlapping sense/antisense transcripts in budding yeast mitosis and meiosis. RNA. 31(4). 497–513. 1 indexed citations
2.
Becker, E., Franka Risch, Stefanie Bette, et al.. (2024). Radiomics Feature Stability in True and Virtual Non-Contrast Reconstructions from Cardiac Photon-Counting Detector CT Datasets. Diagnostics. 14(22). 2483–2483.
3.
4.
5.
Becker, E., Dario Saracino, Daisy Rinaldi, et al.. (2022). Disease Progression Score Estimation From Multimodal Imaging and MicroRNA Data Using Supervised Variational Autoencoders. IEEE Journal of Biomedical and Health Informatics. 26(12). 6024–6035. 10 indexed citations
6.
Keel, Sioḃán, et al.. (2022). Large cell neuroendocrine carcinoma of the floor of mouth and retromolar trigone in association with basaloid squamous cell carcinoma. International Journal of Oral and Maxillofacial Surgery. 51(12). 1520–1524. 2 indexed citations
7.
Latouche, Morwena, Dario Saracino, Daisy Rinaldi, et al.. (2022). MicroRNAsignatures in genetic frontotemporal dementia and amyotrophic lateral sclerosis. Annals of Clinical and Translational Neurology. 9(11). 1778–1791. 9 indexed citations
8.
Anquetil, Vincent, Dario Saracino, Daisy Rinaldi, et al.. (2020). Plasma microRNA signature in presymptomatic and symptomatic subjects with C9orf72-associated frontotemporal dementia and amyotrophic lateral sclerosis. Journal of Neurology Neurosurgery & Psychiatry. 92(5). 485–493. 32 indexed citations
9.
Becker, E., et al.. (2019). The anti-cancer drug 5-fluorouracil affects cell cycle regulators and potential regulatory long non-coding RNAs in yeast. RNA Biology. 16(6). 727–741. 12 indexed citations
10.
Becker, E., et al.. (2019). Extranodale Manifestation klassischer Hodgkin-Lymphome im HNO-Bereich. HNO. 68(1). 32–39. 1 indexed citations
11.
Leverrier, Sabrina, Rod T. Mitchell, E. Becker, et al.. (2018). Ibuprofen is deleterious for the development of first trimester human fetal ovary ex vivo. Human Reproduction. 33(3). 482–493. 28 indexed citations
12.
Hao, Chunxiang, Aurore Gély-Pernot, Christine Kervarrec, et al.. (2016). Exposure to the widely used herbicide atrazine results in deregulation of global tissue-specific RNA transcription in the third generation and is associated with a global decrease of histone trimethylation in mice. Nucleic Acids Research. 44(20). gkw840–gkw840. 54 indexed citations
13.
Becker, E., Yuchen Liu, Aurélie Lardenois, et al.. (2015). Integrated RNA- and protein profiling of fermentation and respiration in diploid budding yeast provides insight into nutrient control of cell growth and development. Journal of Proteomics. 119. 30–44. 5 indexed citations
14.
15.
Petit, Fabrice G., Christine Kervarrec, Soazik P. Jamin, et al.. (2015). Combining RNA and Protein Profiling Data with Network Interactions Identifies Genes Associated with Spermatogenesis in Mouse and Human1. Biology of Reproduction. 92(3). 71–71. 23 indexed citations
16.
Becker, E., et al.. (2011). Functional Integrative Levels in the Human Interactome Recapitulate Organ Organization. PLoS ONE. 6(7). e22051–e22051. 18 indexed citations
17.
Aucher, Willy, E. Becker, Simona Miron, et al.. (2010). A Strategy for Interaction Site Prediction between Phospho-binding Modules and their Partners Identified from Proteomic Data. Molecular & Cellular Proteomics. 9(12). 2745–2759. 9 indexed citations
18.
Ehret, Reinhard, Monika Balzer‐Geldsetzer, Jens Peter Reese, et al.. (2009). Direkte Kosten der Parkinson-Behandlung. Der Nervenarzt. 80(4). 452–458. 14 indexed citations
19.
Becker, E., et al.. (2006). Sequence Search Methods and Scoring Functions for the Design of Protein Structures. Humana Press eBooks. 340. 183–206. 1 indexed citations
20.
Mousson, Florence, Aurélie Lautrette, Jean‐Yves Thuret, et al.. (2005). Structural basis for the interaction of Asf1 with histone H3 and its functional implications. Proceedings of the National Academy of Sciences. 102(17). 5975–5980. 111 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by André Kleensang Breakdown of academic impact, for papers by Raffaele Ferrari Breakdown of academic impact, for papers by J. N. Forrest Breakdown of academic impact, for papers by Ryuya Horiuchi Breakdown of academic impact, for papers by Abhijeet R. Sonawane Breakdown of academic impact, for papers by Mamoru Nomura Breakdown of academic impact, for papers by Demis A. Kia Breakdown of academic impact, for papers by Tongbin Li Breakdown of academic impact, for papers by Giovanni Scardoni Breakdown of academic impact, for papers by R. J. C. Stewart
Rankless by CCL
2026