Joan M. Hebert
Impact in
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism
- Genetics top 2%
- Forensic and Genetic Research
- Genetic diversity and population structure
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
Papers in
- Genetics 14
- Forensic and Genetic Research 4
- Genetic Associations and Epidemiology 4
- Genetic Mapping and Diversity in Plants and Animals 3
- Co-authors
- Teri E. KleinRuss B. AltmanMichelle Whirl‐CarrilloCaroline F. ThornLi GongEllen M. McDonaghKatrin SangkuhlA. Bowcock
- Journals
- Nucleic Acids Research (8 papers)Pharmacogenetics and Genomics (5 papers)Proceedings of the National Academy of Sciences (3 papers)Annals of Human Genetics (2 papers)Cytogenetic and Genome Research (2 papers)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Joan M. Hebert
37 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Pharmacology 692
- Genetics 1.1k
- Transplantation 59
- Molecular Biology 1.2k
- Computational Theory and Mathematics 283
Countries citing papers authored by Joan M. Hebert
This map shows the geographic impact of Joan M. Hebert'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 Joan M. Hebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan M. Hebert more than expected).
Fields of papers citing papers by Joan M. Hebert
This network shows the impact of papers produced by Joan M. Hebert. 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 Joan M. Hebert. The network helps show where Joan M. Hebert may publish in the future.
Co-authors
The 25 scholars most cited alongside Joan M. Hebert, 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 | 2013 | 97 | |
| 2 | 2012 | 119 | |
| 3 | 2012 | 18 | |
| 4 | Pharmacogenomics Knowledge for Personalized Medicine Hit paper breakdown → | 2012 | 1317 |
| 5 | 2010 | 85 | |
| 6 | 2007 | 90 | |
| 7 | 2001 | 318 | |
| 8 | 1996 | 13 | |
| 9 | 1996 | 38 | |
| 10 | 1991 | 30 | |
| 11 | 1990 | 22 | |
| 12 | 1990 | 52 | |
| 13 | 1989 | 1 | |
| 14 | 1989 | 3 | |
| 15 | 1989 | 1 | |
| 16 | 1989 | 2 | |
| 17 | 1988 | 3 | |
| 18 | Eight closely linked loci place the Wilson disease locus within 13q14-q21. | 1988 | 57 |
| 19 | 1987 | 4 | |
| 20 | 1987 | 3 |
About Joan M. Hebert
Joan M. Hebert is a scholar working on Horticulture, Genetics, Immunology and Allergy, Clinical Biochemistry and Molecular Biology, having authored 38 papers that have together received 3.4k indexed citations. Recurring topics across this work include Forensic and Genetic Research (4 papers), Genetic Associations and Epidemiology (4 papers), Trace Elements in Health (4 papers), RNA modifications and cancer (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Acute Lymphoblastic Leukemia research (3 papers). The work is most often cited by research in Pharmacology (692 citations), Genetics (1.1k citations), Transplantation (59 citations), Molecular Biology (1.2k citations) and Computational Theory and Mathematics (283 citations). Joan M. Hebert has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Teri E. Klein, Russ B. Altman, Michelle Whirl‐Carrillo, Caroline F. Thorn, Li Gong, Ellen M. McDonagh, Katrin Sangkuhl, A. Bowcock, Joanna L. Mountain and Kenneth K. Kídd. Their work appears in journals such as Nucleic Acids Research, Pharmacogenetics and Genomics, Proceedings of the National Academy of Sciences, Annals of Human Genetics and Cytogenetic and Genome Research.
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.