Alison A. Motsinger‐Reif
- Virology top 2%
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism 14
- Genetics top 1%
- Genetic Associations and Epidemiology 41
- Genetic and phenotypic traits in livestock 13
- Biological Psychiatry top 5%
- Small Animals top 1%
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- Gene expression and cancer classification 32
- Bioinformatics and Genomic Networks 31
- Metabolomics and Mass Spectrometry Studies 14
- Epigenetics and DNA Methylation 13
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- Veterinary Oncology Research 14
- Co-authors
- Marylyn D. RitchieDavid M. ReifJason H. MooreKyle R. RoellDaniel M. RotroffMatthew BreenHoward L. McLeodStacey J. Winham
- Cited by
- VirologyPharmacologyGenetics
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Alison A. Motsinger‐Reif
222 papers receiving 6.4k citations
Peers
Comparison fields: 5 of 187
- Virology 354
- Pharmacology 550
- Genetics 1.5k
- Biological Psychiatry 117
- Small Animals 326
Countries citing papers authored by Alison A. Motsinger‐Reif
This map shows the geographic impact of Alison A. Motsinger‐Reif'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 Alison A. Motsinger‐Reif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alison A. Motsinger‐Reif more than expected).
Fields of papers citing papers by Alison A. Motsinger‐Reif
This network shows the impact of papers produced by Alison A. Motsinger‐Reif. 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 Alison A. Motsinger‐Reif. The network helps show where Alison A. Motsinger‐Reif may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alison A. Motsinger‐Reif, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 34 | |
| 8 | 2021 | 10 | |
| 9 | 2020 | 11 | |
| 10 | 2020 | 11 | |
| 11 | 2019 | 1 | |
| 12 | 2019 | 16 | |
| 13 | 2017 | 7 | |
| 14 | 2013 | 101 | |
| 15 | 2013 | 91 | |
| 16 | 2012 | 13 | |
| 17 | 2011 | 9 | |
| 18 | 2011 | 1 | |
| 19 | 2010 | 138 | |
| 20 | 2006 | 131 |
About Alison A. Motsinger‐Reif
Alison A. Motsinger‐Reif is a scholar working on Genetics, Equine and Health, Toxicology and Mutagenesis, having authored 228 papers that have together received 6.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (41 papers), Gene expression and cancer classification (32 papers), Bioinformatics and Genomic Networks (31 papers), Metabolomics and Mass Spectrometry Studies (14 papers), Pharmacogenetics and Drug Metabolism (14 papers), Veterinary Oncology Research (14 papers), Genetic and phenotypic traits in livestock (13 papers) and Epigenetics and DNA Methylation (13 papers). The work is most often cited by research in Virology (354 citations), Pharmacology (550 citations) and Genetics (1.5k citations). Alison A. Motsinger‐Reif has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Marylyn D. Ritchie, David M. Reif, Jason H. Moore, Kyle R. Roell, Daniel M. Rotroff, Matthew Breen, Howard L. McLeod, Stacey J. Winham, David W. Haas and Digna R. Velez. Their work appears in journals such as BioData Mining, Pharmacogenomics, PLoS ONE, Pharmacogenetics and Genomics and Genetic Epidemiology.
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.