Marc Vidal
Impact in
- Aging top 10%
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- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
- Fungal and yeast genetics research
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Gene Regulatory Network Analysis
Papers in
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- Bioinformatics and Genomic Networks 5
- Microbial Metabolic Engineering and Bioproduction 4
- Fungal and yeast genetics research 3
- RNA and protein synthesis mechanisms 2
- Polyamine Metabolism and Applications 1
- Ubiquitin and proteasome pathways 1
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- Advanced Proteomics Techniques and Applications 2
- Co-authors
- Denis Dupuy (2 shared papers)Nicolas Bertin (2 shared papers)Jing‐Dong J. Han (2 shared papers)Michael E. Cusick (2 shared papers)Simon J. Boulton (2 shared papers)Albertha J.M. Walhout (1 shared paper)Stanley Fields (1 shared paper)Michael A. Brasch (1 shared paper)
- Journals
- Nature Biotechnology (2 papers)Nature Methods (1 paper)Biochemical and Biophysical Research Communications (1 paper)Yeast (1 paper)Genome biology (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Marc Vidal
10 papers receiving 714 citations
Peers
Comparison fields: 5 of 74
- Aging 27
- Molecular Biology 631
- Computational Theory and Mathematics 64
- Cell Biology 61
- Spectroscopy 59
Countries citing papers authored by Marc Vidal
This map shows the geographic impact of Marc Vidal'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 Marc Vidal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Vidal more than expected).
Fields of papers citing papers by Marc Vidal
This network shows the impact of papers produced by Marc Vidal. 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 Marc Vidal. The network helps show where Marc Vidal may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Vidal, 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 | 2005 | 242 | |
| 2 | 1999 | 195 | |
| 3 | 2000 | 100 | |
| 4 | 2004 | 58 | |
| 5 | 2014 | 54 | |
| 6 | 2007 | 45 | |
| 7 | 2012 | 35 | |
| 8 | 2003 | 14 | |
| 9 | Histamine and tyramine in meat products. | 1990 | 2 |
| 10 | 2006 | 1 |
About Marc Vidal
Marc Vidal is a scholar working on Molecular Biology, Spectroscopy, Sociology and Political Science, Statistical and Nonlinear Physics and Cognitive Neuroscience, having authored 10 papers that have together received 746 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Fungal and yeast genetics research (3 papers), Advanced Proteomics Techniques and Applications (2 papers), RNA and protein synthesis mechanisms (2 papers), Polyamine Metabolism and Applications (1 paper), Ubiquitin and proteasome pathways (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Aging (27 citations), Molecular Biology (631 citations), Computational Theory and Mathematics (64 citations), Cell Biology (61 citations) and Spectroscopy (59 citations). Marc Vidal has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Denis Dupuy, Nicolas Bertin, Jing‐Dong J. Han, Michael E. Cusick, Simon J. Boulton, Albertha J.M. Walhout, Stanley Fields, Michael A. Brasch, James L. Hartley and Asa Ben‐Hur. Their work appears in journals such as Nature Biotechnology, Nature Methods, Biochemical and Biophysical Research Communications, Yeast and Genome 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.