Marc Feuermann
Impact in
- Molecular Biology top 0.5%
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
- Microbial Metabolic Engineering and Bioproduction
- RNA modifications and cancer
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
-
- Bioinformatics and Genomic Networks 15
- Biomedical Text Mining and Ontologies 10
- Genomics and Phylogenetic Studies 6
- Fungal and yeast genetics research 5
- Machine Learning in Bioinformatics 4
- Epidemiology 10
- Nail Diseases and Treatments 8
- Co-authors
- Michel Monod (8 shared papers)Karine Salamin (6 shared papers)Tsuyoshi Yamada (6 shared papers)Mohamed Mahdi Alshahni (2 shared papers)Nicole Paquet (2 shared papers)Emilie Landrieux (2 shared papers)Andrija Finka (2 shared papers)Martine A. Collart (2 shared papers)
- Journals
- Nucleic Acids Research (11 papers)Database (3 papers)Antimicrobial Agents and Chemotherapy (3 papers)Nature (3 papers)Bioinformatics (2 papers)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Marc Feuermann
43 papers receiving 18.9k citations
Marc Feuermann's Hit Papers
Peers
Comparison fields: 5 of 185
- Molecular Biology 11.7k
- Computational Theory and Mathematics 1.3k
- Cell Biology 1.1k
- Aging 124
- Genetics 1.8k
Countries citing papers authored by Marc Feuermann
This map shows the geographic impact of Marc Feuermann'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 Feuermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Feuermann more than expected).
Fields of papers citing papers by Marc Feuermann
This network shows the impact of papers produced by Marc Feuermann. 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 Feuermann. The network helps show where Marc Feuermann may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Feuermann, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | UniProt: the universal protein knowledgebase in 2021 Hit paper breakdown → | 2020 | 4788 |
| 2 | UniProt: the Universal Protein Knowledgebase in 2023 Hit paper breakdown → | 2022 | 3877 |
| 3 | The Gene Ontology resource: enriching a GOld mine Hit paper breakdown → | 2020 | 2404 |
| 4 | The Gene Ontology knowledgebase in 2023 Hit paper breakdown → | 2023 | 1509 |
| 5 | The IntAct molecular interaction database in 2012 Hit paper breakdown → | 2011 | 934 |
| 6 | The Universal Protein Resource (UniProt) in 2010 Hit paper breakdown → | 2010 | 834 |
| 7 | UniProt: the Universal Protein Knowledgebase in 2025 Hit paper breakdown → | 2024 | 738 |
| 8 | IntAct--open source resource for molecular interaction data Hit paper breakdown → | 2006 | 644 |
| 9 | SynGO: An Evidence-Based, Expert-Curated Knowledge Base for the Synapse Hit paper breakdown → | 2019 | 603 |
| 10 | The IntAct molecular interaction database in 2010 Hit paper breakdown → | 2009 | 531 |
| 11 | 2011 | 347 | |
| 12 | 1997 | 342 | |
| 13 | 1997 | 277 | |
| 14 | Annotation of biologically relevant ligands in UniProtKB using ChEBI Hit paper breakdown → | 2022 | 193 |
| 15 | 2011 | 170 | |
| 16 | MIBiG 4.0: advancing biosynthetic gene cluster curation through global collaboration Hit paper breakdown → | 2024 | 111 |
| 17 | 2019 | 98 | |
| 18 | 2006 | 83 | |
| 19 | 2000 | 78 | |
| 20 | 2022 | 72 |
About Marc Feuermann
Marc Feuermann is a scholar working on Molecular Biology, Epidemiology, Pharmacology, Spectroscopy and Cell Biology, having authored 45 papers that have together received 19.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (15 papers), Biomedical Text Mining and Ontologies (10 papers), Nail Diseases and Treatments (8 papers), Genomics and Phylogenetic Studies (6 papers), Advanced Proteomics Techniques and Applications (5 papers), Fungal and yeast genetics research (5 papers), Machine Learning in Bioinformatics (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Molecular Biology (11.7k citations), Computational Theory and Mathematics (1.3k citations), Cell Biology (1.1k citations), Aging (124 citations) and Genetics (1.8k citations). Marc Feuermann has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Michel Monod, Karine Salamin, Tsuyoshi Yamada, Mohamed Mahdi Alshahni, Nicole Paquet, Emilie Landrieux, Andrija Finka, Martine A. Collart, Olesya O. Panasenko and Marc Boutry. Their work appears in journals such as Nucleic Acids Research, Database, Antimicrobial Agents and Chemotherapy, Nature and 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.