Annie Olry

9 papers receiving 1.3k citations

Annie Olry's Hit Papers

Estimating cumulative point prevalence of rare diseases: analysis of the Orphanet database 2019 · 895 citations
8950+2+4Years since publication250500750

Peers

Annie Olry
Comparison fields: 5 of 107
  • Genetics 631
  • Health Informatics 11
  • Molecular Biology 533
  • Aging 12
  • Genetics 66
Replace Daniel N. Murphy with:
Daniel N. Murphy Ireland
Misha Angrist United States
Yann Le Cam France
Jennifer Friedman United States
Charlotte Rodwell France
Stéphanie Nguengang Wakap France
Sarah C. Nelson United States
Michael H. Guo United States
Zsofia Kote‐Jarai United Kingdom
Alex Lash United States
Annie Olry relative to Daniel N. Murphy Ireland Daniel N. Murphy's profile →
Citations per field
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Daniel N. Murphy · 1×
Citations per year

Countries citing papers authored by Annie Olry

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

10 of 10 papers shown
#Work
1
Estimating cumulative point prevalence of rare diseases: analysis of the Orphanet database
Hit paper breakdown →
2019895
2 2012229
3 2004184
4 201816
5 20247
6 20056
7 20146
8
OntoOrpha: An Ontology to Support Edition and Audit of Knowledge of Rare Diseases in ORPHANET.
20113
9 20143
10 20200

About Annie Olry

Annie Olry is a scholar working on Genetics, Molecular Biology, Artificial Intelligence, Pharmacy and Immunology, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (8 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 (631 citations), Health Informatics (11 citations), Molecular Biology (533 citations), Aging (12 citations) and Genetics (66 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, Stéphanie Nguengang Wakap, Yann Le Cam, Daniel N. Murphy, Deborah M. Lambert, Bruno Urbero, Ferdinand Dhombres and Ségolène Aymé. Their work appears in journals such as Orphanet Journal of Rare Diseases, The Journal of Cell Biology, European Journal of Medical Genetics, Journal of Biological Chemistry and European Journal of Human Genetics.

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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