M.L. Wagner
Impact in
- Equine top 5%
- Veterinary Equine Medical Research
-
- Leptospirosis research and findings
Papers in
- Genetics 7
- Genetic Mapping and Diversity in Plants and Animals 6
- Genetic and phenotypic traits in livestock 6
-
- Machine Learning in Bioinformatics 1
- Mitochondrial Function and Pathology 1
- Co-authors
- James R. Mickelson (9 shared papers)Stephanie J. Valberg (4 shared papers)Loren C. Skow (6 shared papers)Molly E. McCue (2 shared papers)M. C. T. Penedo (3 shared papers)Candice Brinkmeyer‐Langford (2 shared papers)Íscia Lopes‐Cendes (1 shared paper)E. Andermann (1 shared paper)
- Journals
- Animal Genetics (7 papers)Journal of Veterinary Internal Medicine (2 papers)Bioinformatics (1 paper)Neuropediatrics (1 paper)Cytogenetic and Genome Research (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
M.L. Wagner
15 papers receiving 206 citations
Peers
Comparison fields: 5 of 50
- Equine 35
- Parasitology 28
- Cellular and Molecular Neuroscience 43
- Genetics 65
- Cell Biology 25
Countries citing papers authored by M.L. Wagner
This map shows the geographic impact of M.L. Wagner'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 M.L. Wagner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.L. Wagner more than expected).
Fields of papers citing papers by M.L. Wagner
This network shows the impact of papers produced by M.L. Wagner. 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 M.L. Wagner. The network helps show where M.L. Wagner may publish in the future.
Co-authors
The 25 scholars most cited alongside M.L. Wagner, 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 | 2014 | 51 | |
| 2 | Confirmation of the SCA-2 locus as an alternative locus for dominantly inherited spinocerebellar ataxias and refinement of the candidate region. | 1994 | 40 |
| 3 | 2010 | 21 | |
| 4 | 1975 | 18 | |
| 5 | 2006 | 16 | |
| 6 | 2006 | 15 | |
| 7 | 2006 | 8 | |
| 8 | 2005 | 8 | |
| 9 | 2003 | 7 | |
| 10 | 1999 | 7 | |
| 11 | 2004 | 6 | |
| 12 | 2004 | 5 | |
| 13 | 2004 | 4 | |
| 14 | 2005 | 4 | |
| 15 | A high-resolution human SNP linkage map | 2002 | 2 |
About M.L. Wagner
M.L. Wagner is a scholar working on Genetics, Molecular Biology, Agronomy and Crop Science, Equine and Cell Biology, having authored 15 papers that have together received 212 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (6 papers), Genetic and phenotypic traits in livestock (6 papers), Veterinary Equine Medical Research (3 papers), Bioenergy crop production and management (3 papers), Metabolism and Genetic Disorders (1 paper), Machine Learning in Bioinformatics (1 paper), Genetic Neurodegenerative Diseases (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Equine (35 citations), Parasitology (28 citations), Cellular and Molecular Neuroscience (43 citations), Genetics (65 citations) and Cell Biology (25 citations). M.L. Wagner has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include James R. Mickelson, Stephanie J. Valberg, Loren C. Skow, Molly E. McCue, M. C. T. Penedo, Candice Brinkmeyer‐Langford, Íscia Lopes‐Cendes, E. Andermann, Ezzedine Attig and Sylvia Bösch. Their work appears in journals such as Animal Genetics, Journal of Veterinary Internal Medicine, Bioinformatics, Neuropediatrics 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.