Michael Gonda
Impact in
- Agronomy and Crop Science top 5%
- Reproductive Physiology in Livestock
- Ruminant Nutrition and Digestive Physiology
- Small Animals top 5%
- Infectious Diseases and Mycology
Papers in
-
- Reproductive Physiology in Livestock 5
- Ruminant Nutrition and Digestive Physiology 2
-
- Effects of Environmental Stressors on Livestock 5
- Meat and Animal Product Quality 3
- Co-authors
- Brian KirkpatrickG.E. ShookMichael T. CollinsYu‐Ming ChangBenoit St‐PierreJ. AriasA. D. BlairM.S. Ashwell
- Journals
- Journal of Animal Science (5 papers)Animal Genetics (2 papers)Conservation Genetics (1 paper)animal (1 paper)Vaccine (1 paper)
- Partner nations
- United StatesJapanSouth Africa
In The Last Decade
Michael Gonda
25 papers receiving 466 citations
Peers
Comparison fields: 5 of 78
- Agronomy and Crop Science 143
- Small Animals 79
- Epidemiology 202
- Microbiology 26
- Animal Science and Zoology 38
Countries citing papers authored by Michael Gonda
This map shows the geographic impact of Michael Gonda'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 Michael Gonda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Gonda more than expected).
Fields of papers citing papers by Michael Gonda
This network shows the impact of papers produced by Michael Gonda. 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 Michael Gonda. The network helps show where Michael Gonda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Gonda, 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 | 2021 | 4 | |
| 3 | 2019 | 8 | |
| 4 | 2019 | 0 | |
| 5 | 2019 | 1 | |
| 6 | 2018 | 1 | |
| 7 | 2016 | 20 | |
| 8 | 2016 | 1 | |
| 9 | Molecular and Quantitative Animal Genetics | 2015 | 10 |
| 10 | 2015 | 18 | |
| 11 | 2012 | 9 | |
| 12 | 2012 | 15 | |
| 13 | 2011 | 18 | |
| 14 | 2008 | 19 | |
| 15 | 2007 | 56 | |
| 16 | 2007 | 73 | |
| 17 | 2006 | 93 | |
| 18 | 2004 | 30 | |
| 19 | 1998 | 29 | |
| 20 | 1994 | 5 |
About Michael Gonda
Michael Gonda is a scholar working on Agronomy and Crop Science, Animal Science and Zoology, Conservation, Genetics and Reproductive Medicine, having authored 31 papers that have together received 484 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (8 papers), Reproductive Physiology in Livestock (5 papers), Effects of Environmental Stressors on Livestock (5 papers), Mycobacterium research and diagnosis (3 papers), Meat and Animal Product Quality (3 papers), Ruminant Nutrition and Digestive Physiology (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Agronomy and Crop Science (143 citations), Small Animals (79 citations), Epidemiology (202 citations), Microbiology (26 citations) and Animal Science and Zoology (38 citations). Michael Gonda has collaborated with scholars based in United States, Japan and South Africa. Frequent co-authors include Brian Kirkpatrick, G.E. Shook, Michael T. Collins, Yu‐Ming Chang, Benoit St‐Pierre, J. Arias, A. D. Blair, M.S. Ashwell, Peter L. Mente and K. R. Underwood. Their work appears in journals such as Journal of Animal Science, Animal Genetics, Conservation Genetics, animal and Vaccine.
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.