M. Ellis
- Animal Science and Zoology top 0.05%
- Animal Nutrition and Physiology 110
- Meat and Animal Product Quality 79
- Pharmacological Effects and Assays 22
- Effects of Environmental Stressors on Livestock 17
- Small Animals top 0.05%
- Animal Behavior and Welfare Studies 74
- Agronomy and Crop Science top 2%
- Genetics top 5%
- Genetic and phenotypic traits in livestock 21
- Genetic Mapping and Diversity in Plants and Animals 6
- Food Science top 2%
- Pesticide Residue Analysis and Safety 8
- Co-authors
- F. K. McKeithY. HyunB. F. WolterE. R. WilsonKeren MillerDan HamiltonJ. KilleferJ. M. DeDecker
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
M. Ellis
161 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 158
- Animal Science and Zoology 3.5k
- Small Animals 1.9k
- Agronomy and Crop Science 267
- Genetics 684
- Food Science 409
Countries citing papers authored by M. Ellis
This map shows the geographic impact of M. Ellis'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. Ellis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Ellis more than expected).
Fields of papers citing papers by M. Ellis
This network shows the impact of papers produced by M. Ellis. 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. Ellis. The network helps show where M. Ellis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Ellis, 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 | 2024 | 2 | |
| 2 | 2023 | 5 | |
| 3 | 2022 | 3 | |
| 4 | 2018 | 1 | |
| 5 | Categorization of Technologies: Insights from the Technology Acceptance Literature | 2016 | 2 |
| 6 | 2011 | 12 | |
| 7 | 2010 | 28 | |
| 8 | A Monte Carlo Investigation of Partial Least Squares, With Implications for Both Structural and Measurement Models | 2008 | 1 |
| 9 | 2008 | 46 | |
| 10 | 2007 | 58 | |
| 11 | 2003 | 11 | |
| 12 | 2002 | 41 | |
| 13 | 2002 | 15 | |
| 14 | 2001 | 34 | |
| 15 | 2001 | 90 | |
| 16 | 2000 | 103 | |
| 17 | 1997 | 45 | |
| 18 | Uncovering presence: What Adult Participants Say Enhances Instructional Videoconferencing | 1993 | 0 |
| 19 | 1992 | 1 | |
| 20 | 1984 | 22 |
About M. Ellis
M. Ellis is a scholar working on Animal Science and Zoology, Small Animals, Agronomy and Crop Science, Genetics and Health Informatics, having authored 170 papers that have together received 4.3k indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (110 papers), Meat and Animal Product Quality (79 papers), Animal Behavior and Welfare Studies (74 papers), Pharmacological Effects and Assays (22 papers), Genetic and phenotypic traits in livestock (21 papers), Effects of Environmental Stressors on Livestock (17 papers), Pesticide Residue Analysis and Safety (8 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). The work is most often cited by research in Animal Science and Zoology (3.5k citations), Small Animals (1.9k citations), Agronomy and Crop Science (267 citations), Genetics (684 citations) and Food Science (409 citations). M. Ellis has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include F. K. McKeith, Y. Hyun, B. F. Wolter, E. R. Wilson, Keren Miller, Dan Hamilton, J. Killefer, J. M. DeDecker, Rodney W. Johnson and P. J. Avery. Their work appears in journals such as Journal of Animal Science, Animal Science, Meat Science, Canadian Journal of Animal Science and Journal of Muscle Foods.
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.