Yves A. Lussier

8.1k citations
200 papers · 5.1k indexed · h-index 38
Topics
Bioinformatics and Genomic Networks (61 papers)Biomedical Text Mining and Ontologies (59 papers)Gene expression and cancer classification (28 papers)

In The Last Decade

Yves A. Lussier

195 papers receiving 4.9k citations

Peers

Yves A. Lussier
Comparison fields: 5 of 172
  • Molecular Biology 2.4k
  • Pulmonary and Respiratory Medicine 1.1k
  • Artificial Intelligence 686
  • Cancer Research 507
  • Social Psychology 469
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Citations per field
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Citations per year

Countries citing papers authored by Yves A. Lussier

Since Specialization
Citations

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

Fields of papers citing papers by Yves A. Lussier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yves A. Lussier. 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 Yves A. Lussier. The network helps show where Yves A. Lussier may publish in the future.

Co-authorship network of co-authors of Yves A. Lussier

This figure shows the co-authorship network connecting the top 25 collaborators of Yves A. Lussier. A scholar is included among the top collaborators of Yves A. Lussier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yves A. Lussier. Yves A. Lussier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 10
3 6
4
Interpretation of 'Omics dynamics in a single subject using local estimates of dispersion between two transcriptomes.
9
5 4
6 28
7 194
8 49
9 0
10 54
11 63
12
Pratique d'activités physiques et de loisirs en couple : facteurs de protection de la satisfaction conjugale
1
13
Cross-Scale Mapping of Gene Expression to Neuroimaging Datasets via Semantic Decomposition
1
14 24
15
Semantic Web for Life Sciences: Session Introduction
2
16
Linking Biomedical Language Information and Knowledge Resources in the 21st Century: GO and UMLS
4
17
Disambiguating ambiguous biomedical terms in biomedical narrative text: an unsupervised method
5
18
MI-HEART: a Comprehensive Management System to Deliver, Monitor and Measure Efficacy of Individualized Web-based Education.
1
19
A Web-based System For Prediction Of Coronary Heart Disease Risk Using The Framingham Algorithm
2
20
Overcoming the Barriers of Web-Based Interventions for Elder Patients: Enabling Strategies for the MI HEART Clinical Trial.
3

About Yves A. Lussier

Yves A. Lussier is a scholar working on Health Information Management, Molecular Biology and Issues, ethics and legal aspects, having authored 200 papers that have together received 5.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (61 papers), Biomedical Text Mining and Ontologies (59 papers) and Gene expression and cancer classification (28 papers). The work is most often cited by research in Health Information Management (365 citations), Molecular Biology (2.4k citations) and Cancer Research (507 citations). Yves A. Lussier has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Carol Friedman, Stéphane Sabourin, Lyudmila Shagina, Pierre Valois, Jianrong Li, George Hripcsak, Yong Huang, Joe G. N. Garcia, Lee Sam and Marie‐France Lafontaine. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Investigation and Journal of Clinical Oncology.

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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