Philippe Marc
Impact in
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- Fungal and yeast genetics research
- Mitochondrial Function and Pathology
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- ATP Synthase and ATPases Research
- Microbial Metabolic Engineering and Bioproduction
Papers in ⓘ
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- Fungal and yeast genetics research 5
- Gene expression and cancer classification 5
- RNA and protein synthesis mechanisms 4
- Genomics and Chromatin Dynamics 3
- Bioinformatics and Genomic Networks 3
- RNA Research and Splicing 2
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- Computational Drug Discovery Methods 4
- Co-authors
- Claude Jacq (8 shared papers)Frédéric Devaux (5 shared papers)Corinne Blugeon (1 shared paper)Antoine Margeot (1 shared paper)Marisol Corral‐Debrinski (1 shared paper)Elisabetta Balzi (1 shared paper)Patrick O. Brown (1 shared paper)André Goffeau (1 shared paper)
- Journals
- FEBS Letters (2 papers)Bioinformatics (2 papers)EMBO Reports (2 papers)Biomarkers (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- FranceSwitzerlandUnited States
In The Last Decade
Philippe Marc
18 papers receiving 846 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 676
- Aging 8
- Small Animals 32
- Molecular Medicine 21
- Infectious Diseases 78
Countries citing papers authored by Philippe Marc
This map shows the geographic impact of Philippe Marc'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 Marc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Marc more than expected).
Fields of papers citing papers by Philippe Marc
This network shows the impact of papers produced by Philippe Marc. 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 Marc. The network helps show where Philippe Marc may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Marc, 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 | 2002 | 253 | |
| 2 | 2000 | 222 | |
| 3 | 2002 | 80 | |
| 4 | 2001 | 54 | |
| 5 | 2003 | 44 | |
| 6 | 2014 | 44 | |
| 7 | 2013 | 27 | |
| 8 | 2001 | 25 | |
| 9 | 2001 | 22 | |
| 10 | 2001 | 20 | |
| 11 | 2014 | 18 | |
| 12 | 2011 | 16 | |
| 13 | 2016 | 13 | |
| 14 | 2020 | 10 | |
| 15 | 2002 | 7 | |
| 16 | 2016 | 4 | |
| 17 | 2017 | 3 | |
| 18 | 2004 | 2 |
About Philippe Marc
Philippe Marc is a scholar working on Molecular Biology, Computational Theory and Mathematics, Genetics, Small Animals and Information Systems, having authored 18 papers that have together received 864 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (5 papers), Gene expression and cancer classification (5 papers), Computational Drug Discovery Methods (4 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Chromatin Dynamics (3 papers), Bioinformatics and Genomic Networks (3 papers), Animal testing and alternatives (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Molecular Biology (676 citations), Aging (8 citations), Small Animals (32 citations), Molecular Medicine (21 citations) and Infectious Diseases (78 citations). Philippe Marc has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Claude Jacq, Frédéric Devaux, Corinne Blugeon, Antoine Margeot, Marisol Corral‐Debrinski, Elisabetta Balzi, Patrick O. Brown, André Goffeau, Joseph L. DeRisi and Thierry Delaveau. Their work appears in journals such as FEBS Letters, Bioinformatics, EMBO Reports, Biomarkers and BMC Bioinformatics.
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.