C. Huard
Impact in
- Molecular Biology top 0.5%
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Molecular Biology Techniques and Applications
- Genomics and Chromatin Dynamics
- Artificial Intelligence top 0.5%
- Evolutionary Algorithms and Applications
- Neural Networks and Applications
Papers in
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- Muscle Physiology and Disorders 2
- Gene expression and cancer classification 1
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- Diet, Metabolism, and Disease 1
- Co-authors
- Donna K. Slonim (1 shared paper)Hilary A. Coller (1 shared paper)Todd R. Golub (1 shared paper)Michelle Gaasenbeek (1 shared paper)James R. Downing (1 shared paper)Jill P. Mesirov (1 shared paper)M. A. Caligiuri (1 shared paper)Eric S. Lander (1 shared paper)
- Journals
- Journal of Leukocyte Biology (1 paper)Science (1 paper)The Journal of Immunology (1 paper)JOM (1 paper)British Journal of Dermatology (1 paper)
- Partner nations
- CanadaUnited StatesIndia
In The Last Decade
C. Huard
6 papers receiving 7.9k citations
C. Huard's Hit Papers
Peers
Comparison fields: 5 of 165
- Molecular Biology 5.9k
- Artificial Intelligence 1.7k
- Cancer Research 650
- Computer Vision and Pattern Recognition 945
- Statistics and Probability 349
Countries citing papers authored by C. Huard
This map shows the geographic impact of C. Huard'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 C. Huard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Huard more than expected).
Fields of papers citing papers by C. Huard
This network shows the impact of papers produced by C. Huard. 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 C. Huard. The network helps show where C. Huard may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Huard, 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 | Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring Hit paper breakdown → | 1999 | 8060 |
| 2 | 2016 | 107 | |
| 3 | 1997 | 98 | |
| 4 | 1993 | 43 | |
| 5 | 1997 | 9 | |
| 6 | 2007 | 1 |
About C. Huard
C. Huard is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Oncology and Epidemiology, having authored 6 papers that have together received 8.3k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (2 papers), Gene expression and cancer classification (1 paper), Digestive system and related health (1 paper), Diet, Metabolism, and Disease (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Inflammatory Myopathies and Dermatomyositis (1 paper), Magnesium Alloys: Properties and Applications (1 paper) and Advanced ceramic materials synthesis (1 paper). The work is most often cited by research in Molecular Biology (5.9k citations), Artificial Intelligence (1.7k citations), Cancer Research (650 citations), Computer Vision and Pattern Recognition (945 citations) and Statistics and Probability (349 citations). C. Huard has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Donna K. Slonim, Hilary A. Coller, Todd R. Golub, Michelle Gaasenbeek, James R. Downing, Jill P. Mesirov, M. A. Caligiuri, Eric S. Lander, C. D. Bloomfield and Pablo Tamayo. Their work appears in journals such as Journal of Leukocyte Biology, Science, The Journal of Immunology, JOM and British Journal of Dermatology.
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.