Philippe Marc

1.2k citations
18 papers · 872 · h-index 13

Impact in

    • 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

Papers in

    • Gene expression and cancer classification 4
    • Fungal and yeast genetics research 4
    • RNA and protein synthesis mechanisms 4
    • Genomics and Chromatin Dynamics 3
    • Bioinformatics and Genomic Networks 2
    • Biomedical Text Mining and Ontologies 2
    • Computational Drug Discovery Methods 3

Philippe Marc

18 papers receiving 854 citations

Peers

Philippe Marc
Comparison fields: 5 of 83
  • Molecular Biology 656
  • Small Animals 32
  • Infectious Diseases 76
  • Molecular Medicine 21
  • Clinical Biochemistry 24
Replace Hookang Im with:
Hookang Im South Korea
Manu De Rycker United Kingdom
Nuria de Pedro Spain
Michael D. Urbaniak United Kingdom
Jasna Ćurak Canada
Chie Takemoto Japan
Jongwan Kim South Korea
Guy Nimrod Israel
Jeremiah D. Farelli United States
Yuliya Y. Kleshchenko United States
Philippe Marc relative to Hookang Im South Korea Hookang Im's profile →
Citations per field
00.5×
Hookang Im · 1×
Citations per year

Countries citing papers authored by Philippe Marc

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Philippe Marc Line = papers co-authored together Philippe Marc links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2002255
2 2000224
3 200281
4 200154
5 201445
6 200344
7 201328
8 200125
9 200122
10 200120
11 201419
12 201116
13 201613
14 202010
15 20027
16 20164
17 20173
18 20042

About Philippe Marc

Philippe Marc is a scholar working on Molecular Biology, Computational Theory and Mathematics, Genetics, Immunology and Small Animals, having authored 18 papers that have together received 872 indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Fungal and yeast genetics research (4 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Chromatin Dynamics (3 papers), Computational Drug Discovery Methods (3 papers), Bioinformatics and Genomic Networks (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Molecular Biology (656 citations), Small Animals (32 citations), Infectious Diseases (76 citations), Molecular Medicine (21 citations) and Clinical Biochemistry (24 citations). Philippe Marc has collaborated with scholars based in France, Switzerland and Burundi. Frequent co-authors include Claude Jacq, Frédéric Devaux, Antoine Margeot, Marisol Corral‐Debrinski, Corinne Blugeon, André Goffeau, Patrick O. Brown, Elisabetta Balzi, Joseph L. DeRisi and Thierry Delaveau. Their work appears in journals such as Bioinformatics, FEBS Letters, EMBO Reports, Regulatory Toxicology and Pharmacology and Biomarkers.

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.

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