Jennifer Madeoy
Impact in
- Genetics top 5%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Genetic Associations and Epidemiology
- Genetic diversity and population structure
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- Cancer-related molecular mechanisms research
Papers in
- Genetics 8
- Genetic Associations and Epidemiology 3
- Genetic and phenotypic traits in livestock 3
- Evolution and Genetic Dynamics 2
- Genetic diversity and population structure 2
- Human-Animal Interaction Studies 1
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- RNA and protein synthesis mechanisms 2
- Genomics and Chromatin Dynamics 2
- Co-authors
- Joshua M. Akey (9 shared papers)Mark M. Wurfel (1 shared paper)John D. Storey (1 shared paper)James Ronald (1 shared paper)Caitlin Connelly (3 shared papers)Joanna L. Kelley (1 shared paper)John C. Calhoun (1 shared paper)Willie J. Swanson (1 shared paper)
- Journals
- Genome Research (4 papers)The American Journal of Human Genetics (2 papers)Clinical Cancer Research (1 paper)Nucleic Acids Research (1 paper)Molecular Biology and Evolution (1 paper)
- Partner nations
- United StatesSwedenJapan
In The Last Decade
Jennifer Madeoy
10 papers receiving 905 citations
Peers
Comparison fields: 5 of 104
- Genetics 576
- Cancer Research 111
- Equine 12
- Molecular Biology 441
- Small Animals 23
Countries citing papers authored by Jennifer Madeoy
This map shows the geographic impact of Jennifer Madeoy'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 Jennifer Madeoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Madeoy more than expected).
Fields of papers citing papers by Jennifer Madeoy
This network shows the impact of papers produced by Jennifer Madeoy. 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 Jennifer Madeoy. The network helps show where Jennifer Madeoy may publish in the future.
Co-authors
The 25 scholars most cited alongside Jennifer Madeoy, 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 | 2010 | 247 | |
| 2 | 2007 | 226 | |
| 3 | 2006 | 169 | |
| 4 | 2011 | 130 | |
| 5 | 2015 | 72 | |
| 6 | 2009 | 20 | |
| 7 | 2010 | 19 | |
| 8 | 2010 | 15 | |
| 9 | 2004 | 15 | |
| 10 | 2009 | 10 | |
| 11 | 2024 | 0 |
About Jennifer Madeoy
Jennifer Madeoy is a scholar working on Genetics, Molecular Biology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Biomaterials, having authored 11 papers that have together received 923 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Genetic and phenotypic traits in livestock (3 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Chromatin Dynamics (2 papers), Evolution and Genetic Dynamics (2 papers), Genetic diversity and population structure (2 papers), Human-Animal Interaction Studies (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Genetics (576 citations), Cancer Research (111 citations), Equine (12 citations), Molecular Biology (441 citations) and Small Animals (23 citations). Jennifer Madeoy has collaborated with scholars based in United States, Sweden and Japan. Frequent co-authors include Joshua M. Akey, Mark M. Wurfel, John D. Storey, James Ronald, Caitlin Connelly, Joanna L. Kelley, John C. Calhoun, Willie J. Swanson, Alison L. Ruhe and Aaron K. Wong. Their work appears in journals such as Genome Research, The American Journal of Human Genetics, Clinical Cancer Research, Nucleic Acids Research and Molecular Biology and Evolution.
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.