J. M. Beckerich
Impact in
- Biotechnology top 10%
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- Microbial Metabolic Engineering and Bioproduction
- Fungal and yeast genetics research
- Enzyme Catalysis and Immobilization
- RNA and protein synthesis mechanisms
Papers in
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- Microbial Metabolic Engineering and Bioproduction 8
- Fungal and yeast genetics research 6
- RNA and protein synthesis mechanisms 5
- Genetics 7
- Bacterial Genetics and Biotechnology 6
- Co-authors
- C. Gaillardin (6 shared papers)Claude Gaillardin (2 shared papers)Pascal Bonnarme (1 shared paper)H. Heslot (5 shared papers)Serge Moukha (1 shared paper)M. Asther (1 shared paper)Catherine Madzak (1 shared paper)Ludovic R. Otterbein (1 shared paper)
In The Last Decade
J. M. Beckerich
16 papers receiving 474 citations
Peers
Comparison fields: 5 of 56
- Biotechnology 59
- Molecular Biology 428
- Cell Biology 66
- Biochemistry 24
- Biomedical Engineering 130
Countries citing papers authored by J. M. Beckerich
This map shows the geographic impact of J. M. Beckerich'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 J. M. Beckerich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. M. Beckerich more than expected).
Fields of papers citing papers by J. M. Beckerich
This network shows the impact of papers produced by J. M. Beckerich. 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 J. M. Beckerich. The network helps show where J. M. Beckerich may publish in the future.
Co-authors
The 22 scholars most cited alongside J. M. Beckerich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 147 | |
| 2 | 2004 | 76 | |
| 3 | Yarrowia lipolytica: a model organism for protein secretion studies. | 1998 | 51 |
| 4 | 1989 | 45 | |
| 5 | 2008 | 41 | |
| 6 | 1992 | 34 | |
| 7 | 1989 | 18 | |
| 8 | 2003 | 15 | |
| 9 | 1999 | 10 | |
| 10 | 1978 | 10 | |
| 11 | 1984 | 9 | |
| 12 | 2010 | 7 | |
| 13 | 1981 | 6 | |
| 14 | 1986 | 6 | |
| 15 | 2006 | 4 | |
| 16 | 1979 | 3 |
About J. M. Beckerich
J. M. Beckerich is a scholar working on Molecular Biology, Genetics, Cell Biology, Spectroscopy and Biotechnology, having authored 16 papers that have together received 482 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (8 papers), Bacterial Genetics and Biotechnology (6 papers), Fungal and yeast genetics research (6 papers), RNA and protein synthesis mechanisms (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Mass Spectrometry Techniques and Applications (2 papers), Cellular transport and secretion (2 papers) and Enzyme-mediated dye degradation (1 paper). The work is most often cited by research in Biotechnology (59 citations), Molecular Biology (428 citations), Cell Biology (66 citations), Biochemistry (24 citations) and Biomedical Engineering (130 citations). J. M. Beckerich has collaborated with scholars based in France and Morocco. Frequent co-authors include C. Gaillardin, Claude Gaillardin, Pascal Bonnarme, H. Heslot, Serge Moukha, M. Asther, Catherine Madzak, Ludovic R. Otterbein, Feng He and Mohamed Chamkha. Their work appears in journals such as Current Genetics, Yeast, Molecular Genetics and Genomics, Journal of Bacteriology and Journal of Proteome Research.
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.