Marc Vidal
- Aging top 0.02%
- Genetics, Aging, and Longevity in Model Organisms 35
- Molecular Biology top 0.05%
- Bioinformatics and Genomic Networks 67
- Fungal and yeast genetics research 31
- Microbial Metabolic Engineering and Bioproduction 29
- CRISPR and Genetic Engineering 18
- Genomics and Chromatin Dynamics 17
- RNA and protein synthesis mechanisms 16
- Genomics and Phylogenetic Studies 16
- Computational Theory and Mathematics top 0.05%
- Cell Biology top 0.2%
- Genetics top 0.2%
- Co-authors
- Albert-Ĺaszló BarabásiMichael E. CusickAlbertha J.M. WalhoutDavid E. HillK.-I. GohDavid ValleBarton ChildsTong Hao
- Journals
- Genome Research (18 papers)Nature Methods (12 papers)Proceedings of the National Academy of Sciences (12 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Marc Vidal
196 papers receiving 30.4k citations
Hit Papers
Peers
Comparison fields: 5 of 203
- Aging 2.8k
- Molecular Biology 24.4k
- Computational Theory and Mathematics 3.2k
- Cell Biology 3.0k
- Genetics 3.5k
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-authorship network
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 | 2025 | 2 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 4 | |
| 5 | 2020 | 40 | |
| 6 | 2018 | 23 | |
| 7 | 2017 | 24 | |
| 8 | 2016 | 62 | |
| 9 | 2016 | 68 | |
| 10 | 2015 | 49 | |
| 11 | 2015 | 10 | |
| 12 | 2014 | 1 | |
| 13 | 2013 | 27 | |
| 14 | 2010 | 92 | |
| 15 | 2009 | 14 | |
| 16 | The human disease networkbreakdown → | 2007 | 2301 |
| 17 | 2006 | 75 | |
| 18 | 2005 | 223 | |
| 19 | 2002 | 229 | |
| 20 | Histamina y tiramina en derivados cárnicos | 1990 | 6 |
About Marc Vidal
Marc Vidal is a scholar working on Aging, Molecular Biology and Cell Biology, having authored 199 papers that have together received 31.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (67 papers), Genetics, Aging, and Longevity in Model Organisms (35 papers), Fungal and yeast genetics research (31 papers), Microbial Metabolic Engineering and Bioproduction (29 papers), CRISPR and Genetic Engineering (18 papers), Genomics and Chromatin Dynamics (17 papers), RNA and protein synthesis mechanisms (16 papers) and Genomics and Phylogenetic Studies (16 papers). The work is most often cited by research in Aging (2.8k citations), Molecular Biology (24.4k citations) and Computational Theory and Mathematics (3.2k citations). Marc Vidal has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Albert-Ĺaszló Barabási, Michael E. Cusick, Albertha J.M. Walhout, David E. Hill, K.-I. Goh, David Valle, Barton Childs, Tong Hao, Richard F. Gaber and Hui Ming Ge. Their work appears in journals such as Genome Research, Nature Methods, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Cell.
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.