Nicolas Garcelon

2.2k citations
84 papers · 863 indexed · h-index 15

Impact in

Papers in

    • Genomics and Rare Diseases 17
    • Craniofacial Disorders and Treatments 5
    • Genetic and Kidney Cyst Diseases 5

Nicolas Garcelon

76 papers receiving 845 citations

Peers

Nicolas Garcelon
Comparison fields: 5 of 110
  • Health Informatics 47
  • Health Information Management 71
  • Genetics 274
  • Genetics 65
  • Artificial Intelligence 176
Replace Saumya Shekhar Jamuar with:
Saumya Shekhar Jamuar Singapore
Saskia Haitjema Netherlands
R Thomas Lumbers United Kingdom
John Fahrenbach United States
Anne E. Eyler United States
Hayan Jouni United States
Bastien Rance France
Lisa A. Bastarache United States
Steven T. Bailey United States
Jiayi Tong United States
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Citations per field
00.5×1.5×2.3×
Saumya Shekhar Jamuar · 1×
Citations per year

Countries citing papers authored by Nicolas Garcelon

Since Specialization
Citations

This map shows the geographic impact of Nicolas Garcelon'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 Nicolas Garcelon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Garcelon more than expected).

Fields of papers citing papers by Nicolas Garcelon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolas Garcelon. 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 Nicolas Garcelon. The network helps show where Nicolas Garcelon may publish in the future.

Co-authors

The 25 scholars most cited alongside Nicolas Garcelon, 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 Nicolas Garcelon Line = papers co-authored together Nicolas Garcelon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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16 201929
17 201892
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20
Evidence in pharmacovigilance: extracting adverse drug reactions articles from MEDLINE to link them to case databases.
20063

About Nicolas Garcelon

Nicolas Garcelon is a scholar working on Anatomy, Genetics, Nephrology, Medical Laboratory Technology and Health Information Management, having authored 84 papers that have together received 863 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (18 papers), Genomics and Rare Diseases (17 papers), Topic Modeling (12 papers), Machine Learning in Healthcare (6 papers), Natural Language Processing Techniques (5 papers), Craniofacial Disorders and Treatments (5 papers), Semantic Web and Ontologies (5 papers) and Genetic and Kidney Cyst Diseases (5 papers). The work is most often cited by research in Health Informatics (47 citations), Health Information Management (71 citations), Genetics (274 citations), Genetics (65 citations) and Artificial Intelligence (176 citations). Nicolas Garcelon has collaborated with scholars based in France, Italy and United Kingdom. Frequent co-authors include Antoine Neuraz, Anita Burgun, Rémi Salomon, Vincent Benoît, Bastien Rance, Boris Campillo‐Gimenez, Arnold Münnich, Marc Cuggia, Stanislas Lyonnet and Rima Nabbout. Their work appears in journals such as Orphanet Journal of Rare Diseases, Pediatric Nephrology, Pediatric Pulmonology, Journal of Biomedical Informatics and Frontiers in Immunology.

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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