Donna Ryland
Impact in
- Animal Science and Zoology top 2%
- Meat and Animal Product Quality
- Animal Nutrition and Physiology
- Nutrition and Dietetics top 2%
- Food composition and properties
- Biochemical Analysis and Sensing Techniques
Papers in
-
- Food composition and properties 9
- Biochemical Analysis and Sensing Techniques 3
- Food Science 12
- Sensory Analysis and Statistical Methods 9
- Proteins in Food Systems 3
- Co-authors
- Michel Aliani (17 shared papers)Linda Malcolmson (10 shared papers)Susan D. Arntfield (6 shared papers)Grant N. Pierce (2 shared papers)Erin Goldberg (4 shared papers)Martin G. Scanlon (3 shared papers)James D. House (3 shared papers)M. Vaisey‐Genser (2 shared papers)
In The Last Decade
Donna Ryland
25 papers receiving 747 citations
Peers
Comparison fields: 5 of 67
- Animal Science and Zoology 269
- Nutrition and Dietetics 354
- Food Science 384
- Biochemistry 50
- Pathology and Forensic Medicine 90
Countries citing papers authored by Donna Ryland
This map shows the geographic impact of Donna Ryland'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 Donna Ryland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donna Ryland more than expected).
Fields of papers citing papers by Donna Ryland
This network shows the impact of papers produced by Donna Ryland. 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 Donna Ryland. The network helps show where Donna Ryland may publish in the future.
Co-authors
The 25 scholars most cited alongside Donna Ryland, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 168 | |
| 2 | 2012 | 62 | |
| 3 | 1997 | 58 | |
| 4 | 2009 | 55 | |
| 5 | 2011 | 52 | |
| 6 | 2001 | 51 | |
| 7 | 2012 | 44 | |
| 8 | 2016 | 37 | |
| 9 | 2018 | 37 | |
| 10 | 2013 | 29 | |
| 11 | 2013 | 23 | |
| 12 | 1994 | 21 | |
| 13 | 1998 | 21 | |
| 14 | 2016 | 20 | |
| 15 | 2019 | 20 | |
| 16 | 2021 | 15 | |
| 17 | 2018 | 15 | |
| 18 | 1996 | 13 | |
| 19 | 2017 | 11 | |
| 20 | 2013 | 11 |
About Donna Ryland
Donna Ryland is a scholar working on Nutrition and Dietetics, Food Science, Animal Science and Zoology, Molecular Biology and Pathology and Forensic Medicine, having authored 26 papers that have together received 792 indexed citations. Recurring topics across this work include Sensory Analysis and Statistical Methods (9 papers), Food composition and properties (9 papers), Meat and Animal Product Quality (9 papers), Animal Nutrition and Physiology (4 papers), Protein Hydrolysis and Bioactive Peptides (4 papers), Biochemical effects in animals (4 papers), Biochemical Analysis and Sensing Techniques (3 papers) and Proteins in Food Systems (3 papers). The work is most often cited by research in Animal Science and Zoology (269 citations), Nutrition and Dietetics (354 citations), Food Science (384 citations), Biochemistry (50 citations) and Pathology and Forensic Medicine (90 citations). Donna Ryland has collaborated with scholars based in Canada, Ireland and Australia. Frequent co-authors include Michel Aliani, Linda Malcolmson, Susan D. Arntfield, Grant N. Pierce, Erin Goldberg, Martin G. Scanlon, James D. House, M. Vaisey‐Genser, Robert A. Gibson and Miyoung Suh. Their work appears in journals such as Journal of Food Science, Food Research International, Journal of the Science of Food and Agriculture, Foods and Food Science & Nutrition.
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.