Danielle Aberdein
Impact in
- Agronomy and Crop Science top 5%
- Reproductive Physiology in Livestock
- Ruminant Nutrition and Digestive Physiology
- Small Animals top 5%
- Animal health and immunology
Papers in
-
- Reproductive Physiology in Livestock 4
- Milk Quality and Mastitis in Dairy Cows 3
-
- Veterinary Oncology Research 5
- Co-authors
- John S. Munday (5 shared papers)S McDougall (3 shared papers)C.R. Burke (3 shared papers)Murray D. Mitchell (1 shared paper)J.R. Roche (1 shared paper)S. Meier (1 shared paper)N.A. Thomson (3 shared papers)Julie Collins‐Emerson (2 shared papers)
- Journals
- New Zealand Veterinary Journal (6 papers)Animals (3 papers)Veterinary Pathology (2 papers)Veterinary Sciences (2 papers)Theriogenology (1 paper)
- Partner nations
- New ZealandHong KongAustralia
In The Last Decade
Danielle Aberdein
18 papers receiving 284 citations
Peers
Comparison fields: 5 of 50
- Agronomy and Crop Science 129
- Small Animals 53
- Animal Science and Zoology 40
- Genetics 102
- Parasitology 24
Countries citing papers authored by Danielle Aberdein
This map shows the geographic impact of Danielle Aberdein'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 Danielle Aberdein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Aberdein more than expected).
Fields of papers citing papers by Danielle Aberdein
This network shows the impact of papers produced by Danielle Aberdein. 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 Danielle Aberdein. The network helps show where Danielle Aberdein may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Aberdein, 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 | 2011 | 100 | |
| 2 | 2011 | 47 | |
| 3 | 2019 | 28 | |
| 4 | 2020 | 25 | |
| 5 | 2021 | 19 | |
| 6 | 2012 | 13 | |
| 7 | 2021 | 10 | |
| 8 | 2018 | 9 | |
| 9 | 2019 | 9 | |
| 10 | 2019 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2021 | 5 | |
| 13 | 2020 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2024 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2024 | 0 |
About Danielle Aberdein
Danielle Aberdein is a scholar working on Agronomy and Crop Science, Pulmonary and Respiratory Medicine, Small Animals, Genetics and Surgery, having authored 19 papers that have together received 292 indexed citations. Recurring topics across this work include Veterinary Oncology Research (5 papers), Reproductive Physiology in Livestock (4 papers), Milk Quality and Mastitis in Dairy Cows (3 papers), Animal health and immunology (2 papers), Salivary Gland Tumors Diagnosis and Treatment (2 papers), Leptospirosis research and findings (2 papers), Infectious Diseases and Mycology (2 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Agronomy and Crop Science (129 citations), Small Animals (53 citations), Animal Science and Zoology (40 citations), Genetics (102 citations) and Parasitology (24 citations). Danielle Aberdein has collaborated with scholars based in New Zealand, Hong Kong and Australia. Frequent co-authors include John S. Munday, S McDougall, C.R. Burke, Murray D. Mitchell, J.R. Roche, S. Meier, N.A. Thomson, Julie Collins‐Emerson, Émilie Vallée and James C. Russell. Their work appears in journals such as New Zealand Veterinary Journal, Animals, Veterinary Pathology, Veterinary Sciences and Theriogenology.
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.