E. Becker

1.3k citations
66 papers · 934 indexed · h-index 18

Impact in

    • 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

Papers in

E. Becker

60 papers receiving 906 citations

Peers

E. Becker
Comparison fields: 5 of 148
  • Molecular Biology 545
  • Neuropsychology and Physiological Psychology 8
  • Aging 9
  • Reproductive Medicine 42
  • Cancer Research 72
Replace Mamoru Nomura with:
Mamoru Nomura Japan
Ryuya Horiuchi Japan
Uros Midic United States
Giovanni Scardoni Italy
E Tanner United States
Alan R. Dabney United States
Călin Voichiţa United States
Sven-Eric Schelhorn Germany
Demis A. Kia United Kingdom
Qin Qin Huang United Kingdom
E. Becker relative to Mamoru Nomura Japan Mamoru Nomura's profile →
Citations per field
00.5×1.5×
Mamoru Nomura · 1×
Citations per year

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-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.

Border = papers with E. Becker Line = papers co-authored together E. Becker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005111
2 201199
3 201574
4 201654
5 201551
6 200648
7 199045
8 201535
9 202032
10 198230
11 201828
12 201725
13 201523
14 201121
15 201821
16 201419
17 201118
18 201818
19 200914
20 201912

About E. Becker

E. Becker is a scholar working on Anatomy, Surfaces, Coatings and Films, Neurology, Radiation and Molecular Biology, having authored 66 papers that have together received 934 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (11 papers), Fungal and yeast genetics research (9 papers), Genomics and Chromatin Dynamics (7 papers), Amyotrophic Lateral Sclerosis Research (4 papers), RNA Research and Splicing (4 papers), Protein Structure and Dynamics (4 papers), Electron and X-Ray Spectroscopy Techniques (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Molecular Biology (545 citations), Neuropsychology and Physiological Psychology (8 citations), Aging (9 citations), Reproductive Medicine (42 citations) and Cancer Research (72 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, Christine Kervarrec, Fátima Smagulova, Chunxiang Hao and Frédéric Chalmel. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, RNA Biology, Molecular & Cellular Proteomics and Journal of Proteomics.

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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