Annie Olry
Impact in
- Genetics top 5%
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Neurogenetic and Muscular Disorders Research
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- Biomedical Text Mining and Ontologies
- Developmental Biology and Gene Regulation
- CRISPR and Genetic Engineering
- Bioinformatics and Genomic Networks
Papers in
- Genetics 9
- Genomics and Rare Diseases 9
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- Biomedical Text Mining and Ontologies 3
- Receptor Mechanisms and Signaling 1
- Co-authors
- Ana Rath (9 shared papers)Charlotte Rodwell (2 shared papers)Valérie Serrière-Lanneau (2 shared papers)Yann Le Cam (1 shared paper)Daniel N. Murphy (1 shared paper)Stéphanie Nguengang Wakap (1 shared paper)Deborah M. Lambert (1 shared paper)Ségolène Aymé (2 shared papers)
- Journals
- Orphanet Journal of Rare Diseases (3 papers)European Journal of Human Genetics (1 paper)The Journal of Cell Biology (1 paper)Genetics in Medicine (1 paper)Human Mutation (1 paper)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Annie Olry
11 papers receiving 1.4k citations
Annie Olry's Hit Papers
Peers
Comparison fields: 5 of 108
- Genetics 647
- Molecular Biology 555
- Health Informatics 11
- Genetics 70
- Aging 12
Countries citing papers authored by Annie Olry
This map shows the geographic impact of Annie Olry'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 Annie Olry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annie Olry more than expected).
Fields of papers citing papers by Annie Olry
This network shows the impact of papers produced by Annie Olry. 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 Annie Olry. The network helps show where Annie Olry may publish in the future.
Co-authors
The 25 scholars most cited alongside Annie Olry, 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 | Estimating cumulative point prevalence of rare diseases: analysis of the Orphanet database Hit paper breakdown → | 2019 | 913 |
| 2 | 2012 | 238 | |
| 3 | 2004 | 190 | |
| 4 | 2018 | 16 | |
| 5 | 2005 | 7 | |
| 6 | 2024 | 7 | |
| 7 | 2014 | 6 | |
| 8 | OntoOrpha: An Ontology to Support Edition and Audit of Knowledge of Rare Diseases in ORPHANET. | 2011 | 3 |
| 9 | 2014 | 3 | |
| 10 | 2014 | 2 | |
| 11 | 2020 | 1 |
About Annie Olry
Annie Olry is a scholar working on Genetics, Molecular Biology, Artificial Intelligence, Pharmacy and Immunology, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (9 papers), Biomedical Text Mining and Ontologies (3 papers), Oral and gingival health research (2 papers), Semantic Web and Ontologies (2 papers), Cell Adhesion Molecules Research (1 paper), Alzheimer's disease research and treatments (1 paper), Trace Elements in Health (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Genetics (647 citations), Molecular Biology (555 citations), Health Informatics (11 citations), Genetics (70 citations) and Aging (12 citations). Annie Olry has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Ana Rath, Charlotte Rodwell, Valérie Serrière-Lanneau, Yann Le Cam, Daniel N. Murphy, Stéphanie Nguengang Wakap, Deborah M. Lambert, Ségolène Aymé, Ferdinand Dhombres and Bruno Urbero. Their work appears in journals such as Orphanet Journal of Rare Diseases, European Journal of Human Genetics, The Journal of Cell Biology, Genetics in Medicine and Human Mutation.
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.