Fabien Campagne
- Sensory Systems top 1%
- Hematology top 2%
- Nutrition and Dietetics top 2%
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks 8
- Gene expression and cancer classification 7
- Genomics and Phylogenetic Studies 4
- Protein Structure and Dynamics 3
- Machine Learning in Bioinformatics 3
- Biomedical Text Mining and Ontologies 3
- Genetics top 5%
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- Alzheimer's disease research and treatments 6
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- Scientific Computing and Data Management 5
Fabien Campagne
47 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Sensory Systems 372
- Hematology 409
- Nutrition and Dietetics 465
- Molecular Biology 1.9k
- Genetics 204
Countries citing papers authored by Fabien Campagne
This map shows the geographic impact of Fabien Campagne'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 Fabien Campagne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabien Campagne more than expected).
Fields of papers citing papers by Fabien Campagne
This network shows the impact of papers produced by Fabien Campagne. 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 Fabien Campagne. The network helps show where Fabien Campagne may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fabien Campagne, 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 | 2019 | 60 | |
| 2 | 2017 | 8 | |
| 3 | 2016 | 47 | |
| 4 | 2015 | 11 | |
| 5 | 2013 | 18 | |
| 6 | 2011 | 11 | |
| 7 | 2011 | 19 | |
| 8 | DNA Methylation Signatures Identify Biologically Distinct Subtypes in Acute Myeloid Leukemiabreakdown → | 2010 | 578 |
| 9 | 2009 | 106 | |
| 10 | 2009 | 67 | |
| 11 | 2008 | 82 | |
| 12 | 2008 | 4 | |
| 13 | 2008 | 2 | |
| 14 | 2006 | 294 | |
| 15 | Twease at TREC 2006: Breaking and fixing BM25 scoring with query expansion, a biologically inspired double mutant recovery experiment. | 2006 | 8 |
| 16 | 2005 | 25 | |
| 17 | 2005 | 390 | |
| 18 | 2001 | 398 | |
| 19 | 1999 | 13 | |
| 20 | 1999 | 31 |
About Fabien Campagne
Fabien Campagne is a scholar working on Information Systems and Management, Molecular Biology and Biological Psychiatry, having authored 48 papers that have together received 2.9k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (7 papers), Alzheimer's disease research and treatments (6 papers), Scientific Computing and Data Management (5 papers), Genomics and Phylogenetic Studies (4 papers), Protein Structure and Dynamics (3 papers), Machine Learning in Bioinformatics (3 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Sensory Systems (372 citations), Hematology (409 citations) and Nutrition and Dietetics (465 citations). Fabien Campagne has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Lei Shi, Harel Weinstein, Steven S. Gross, Gang Hao, Behrad Derakhshan, Lucy Skrabanek, Robert F. Margolskee, Liquan Huang, Sami Damak and Y. Gopi Shanker. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.