E. Becker
Impact in
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- Genomics and Chromatin Dynamics
- Bioinformatics and Genomic Networks
- RNA Research and Splicing
- DNA Repair Mechanisms
- Epigenetics and DNA Methylation
- Fungal and yeast genetics research
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Reproductive Medicine top 10%
Papers in
-
- Bioinformatics and Genomic Networks 10
- Fungal and yeast genetics research 9
- Genomics and Chromatin Dynamics 7
- Biomedical Text Mining and Ontologies 5
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- Electron and X-Ray Spectroscopy Techniques 4
- Co-authors
- Christine Brun (3 shared papers)Charles E. Chapple (2 shared papers)Bernard Jégou (7 shared papers)Raphaël Guérois (4 shared papers)Michael Primig (13 shared papers)Alain Guénoche (1 shared paper)Christine Kervarrec (4 shared papers)Fatima O. Smagulova (4 shared papers)
- Journals
- Bioinformatics (7 papers)Nucleic Acids Research (3 papers)RNA Biology (2 papers)Molecular & Cellular Proteomics (2 papers)BMC Genomics (2 papers)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
E. Becker
62 papers receiving 993 citations
Peers
Comparison fields: 5 of 149
- Molecular Biology 553
- Reproductive Medicine 48
- Cancer Research 70
- Aging 9
- Algebra and Number Theory 24
Countries citing papers authored by E. Becker
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
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-authors
The 25 scholars most cited alongside E. Becker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 113 | |
| 2 | 2011 | 103 | |
| 3 | 2015 | 85 | |
| 4 | 2016 | 60 | |
| 5 | 2015 | 56 | |
| 6 | 2006 | 49 | |
| 7 | 1990 | 47 | |
| 8 | 2015 | 41 | |
| 9 | 2020 | 40 | |
| 10 | 1982 | 33 | |
| 11 | 2017 | 32 | |
| 12 | 2018 | 30 | |
| 13 | 2015 | 27 | |
| 14 | 2018 | 22 | |
| 15 | 2011 | 22 | |
| 16 | 2011 | 20 | |
| 17 | 2014 | 19 | |
| 18 | 2018 | 18 | |
| 19 | 2009 | 15 | |
| 20 | 2019 | 13 |
About E. Becker
E. Becker is a scholar working on Molecular Biology, Surfaces, Coatings and Films, Radiation, Neurology and Computer Vision and Pattern Recognition, having authored 67 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Fungal and yeast genetics research (9 papers), Genomics and Chromatin Dynamics (7 papers), Biomedical Text Mining and Ontologies (5 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Electron and X-Ray Spectroscopy Techniques (4 papers), Nuclear Physics and Applications (3 papers) and Integrated Circuits and Semiconductor Failure Analysis (3 papers). The work is most often cited by research in Molecular Biology (553 citations), Reproductive Medicine (48 citations), Cancer Research (70 citations), Aging (9 citations) and Algebra and Number Theory (24 citations). E. Becker has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Christine Brun, Charles E. Chapple, Bernard Jégou, Raphaël Guérois, Michael Primig, Alain Guénoche, Christine Kervarrec, Fatima O. Smagulova, Chunxiang Hao and Frédéric Chalmel. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, RNA Biology, Molecular & Cellular Proteomics and BMC Genomics.
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.