Philippe Veber
Impact in
- Periodontics top 5%
- Oral microbiology and periodontitis research
- Hepatology top 10%
- Liver physiology and pathology
Papers in
-
- Genomics and Phylogenetic Studies 8
- Bioinformatics and Genomic Networks 5
- Gene Regulatory Network Analysis 5
- Microbial Metabolic Engineering and Bioproduction 4
- RNA and protein synthesis mechanisms 3
- Wnt/β-catenin signaling in development and cancer 2
- Co-authors
- Marie Laure Delignette‐Muller (3 shared papers)Sandrine Charles (3 shared papers)Denis Bourgeois (1 shared paper)Florence Carrouel (1 shared paper)Stéphane Viennot (1 shared paper)Christine Perret (2 shared papers)Cécile Godard (2 shared papers)Cyril Torre (2 shared papers)
In The Last Decade
Philippe Veber
26 papers receiving 610 citations
Peers
Comparison fields: 5 of 90
- Periodontics 56
- Hepatology 63
- Molecular Biology 293
- Pollution 47
- Health, Toxicology and Mutagenesis 54
Countries citing papers authored by Philippe Veber
This map shows the geographic impact of Philippe Veber'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 Philippe Veber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Veber more than expected).
Fields of papers citing papers by Philippe Veber
This network shows the impact of papers produced by Philippe Veber. 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 Philippe Veber. The network helps show where Philippe Veber may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Veber, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 131 | |
| 2 | 2016 | 76 | |
| 3 | 2015 | 71 | |
| 4 | 2010 | 45 | |
| 5 | 2012 | 33 | |
| 6 | 2014 | 32 | |
| 7 | 2014 | 26 | |
| 8 | 2020 | 26 | |
| 9 | 2006 | 20 | |
| 10 | 2019 | 18 | |
| 11 | 2005 | 18 | |
| 12 | 2014 | 18 | |
| 13 | 2004 | 14 | |
| 14 | 2017 | 14 | |
| 15 | 2021 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2018 | 13 | |
| 18 | 2008 | 12 | |
| 19 | 2025 | 11 | |
| 20 | Combinatorial approaches for segmentingbacterium genomes | 2003 | 3 |
About Philippe Veber
Philippe Veber is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Genetics, Food Science and Plant Science, having authored 26 papers that have together received 616 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Bioinformatics and Genomic Networks (5 papers), Gene Regulatory Network Analysis (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Pesticide Residue Analysis and Safety (3 papers), RNA and protein synthesis mechanisms (3 papers), Evolution and Genetic Dynamics (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Periodontics (56 citations), Hepatology (63 citations), Molecular Biology (293 citations), Pollution (47 citations) and Health, Toxicology and Mutagenesis (54 citations). Philippe Veber has collaborated with scholars based in France, Bulgaria and Spain. Frequent co-authors include Marie Laure Delignette‐Muller, Sandrine Charles, Denis Bourgeois, Florence Carrouel, Stéphane Viennot, Christine Perret, Cécile Godard, Cyril Torre, Ovidiu Radulescu and Sabine Colnot. Their work appears in journals such as Molecular Biology and Evolution, BMC Bioinformatics, Environmental Science & Technology, Nature Communications and Journal of Hepatology.
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.