E. Becker
Impact in
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- Bioinformatics and Genomic Networks
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- DNA Repair Mechanisms
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- Fungal and yeast genetics research
- RNA modifications and cancer
- Reproductive Medicine top 10%
Papers in
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- Fungal and yeast genetics research 9
- Bioinformatics and Genomic Networks 9
- Genomics and Chromatin Dynamics 7
- DNA Repair Mechanisms 3
- RNA Research and Splicing 3
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- Amyotrophic Lateral Sclerosis Research 4
- Co-authors
- Christine Brun (3 shared papers)Charles E. Chapple (2 shared papers)Raphaël Guérois (4 shared papers)Bernard Jégou (7 shared papers)Michael Primig (13 shared papers)Alain Guénoche (1 shared paper)Fátima Smagulova (4 shared papers)Christine Kervarrec (4 shared papers)
- Journals
- Bioinformatics (7 papers)Nucleic Acids Research (3 papers)Molecular & Cellular Proteomics (2 papers)BMC Genomics (2 papers)RNA Biology (2 papers)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
E. Becker
60 papers receiving 955 citations
Peers
Comparison fields: 5 of 151
- Molecular Biology 543
- Reproductive Medicine 42
- Algebra and Number Theory 25
- Aging 9
- Cancer Research 70
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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 111 | |
| 2 | 2011 | 103 | |
| 3 | 2015 | 78 | |
| 4 | 2016 | 58 | |
| 5 | 2015 | 55 | |
| 6 | 2006 | 49 | |
| 7 | 1990 | 46 | |
| 8 | 2015 | 36 | |
| 9 | 2020 | 35 | |
| 10 | 1982 | 35 | |
| 11 | 2018 | 29 | |
| 12 | 2017 | 27 | |
| 13 | 2015 | 25 | |
| 14 | 2011 | 22 | |
| 15 | 2018 | 21 | |
| 16 | 2014 | 19 | |
| 17 | 2011 | 19 | |
| 18 | 2018 | 18 | |
| 19 | 2019 | 14 | |
| 20 | 2009 | 14 |
About E. Becker
E. Becker is a scholar working on Molecular Biology, Neurology, Computer Vision and Pattern Recognition, Radiation and Surfaces, Coatings and Films, having authored 65 papers that have together received 990 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (9 papers), Bioinformatics and Genomic Networks (9 papers), Genomics and Chromatin Dynamics (7 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Electron and X-Ray Spectroscopy Techniques (4 papers), DNA Repair Mechanisms (3 papers), Image and Object Detection Techniques (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Molecular Biology (543 citations), Reproductive Medicine (42 citations), Algebra and Number Theory (25 citations), Aging (9 citations) and Cancer Research (70 citations). E. Becker has collaborated with scholars based in France, Germany and United States. Frequent 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. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, Molecular & Cellular Proteomics, BMC Genomics and RNA Biology.
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.