P. Nagy
Impact in
- Equine top 1%
- Veterinary Equine Medical Research
- Agronomy and Crop Science top 1%
- Reproductive Physiology in Livestock
Papers in
- Food Science 28
- Animal Diversity and Health Studies 27
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- Reproductive Physiology in Livestock 18
- Milk Quality and Mastitis in Dairy Cows 5
- Co-authors
- Judit Juhász (22 shared papers)Daniel Guillaume (4 shared papers)Gy. Huszenicza (4 shared papers)Peter Daels (2 shared papers)Jenő Reiczigel (10 shared papers)Afaf Kamal‐Eldin (3 shared papers)László Varga (4 shared papers)J.A.C.M. Lohuis (1 shared paper)
- Journals
- Theriogenology (8 papers)Journal of Dairy Science (6 papers)Animal Reproduction Science (4 papers)Animal Frontiers (2 papers)Food Chemistry (2 papers)
- Partner nations
- United Arab EmiratesHungaryFrance
In The Last Decade
P. Nagy
47 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 89
- Equine 139
- Agronomy and Crop Science 485
- Food Science 454
- Reproductive Medicine 147
- Small Animals 122
Countries citing papers authored by P. Nagy
This map shows the geographic impact of P. Nagy'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 P. Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Nagy more than expected).
Fields of papers citing papers by P. Nagy
This network shows the impact of papers produced by P. Nagy. 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 P. Nagy. The network helps show where P. Nagy may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Nagy, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 115 | |
| 2 | 1998 | 90 | |
| 3 | 2000 | 90 | |
| 4 | 2020 | 62 | |
| 5 | 2016 | 42 | |
| 6 | 2012 | 40 | |
| 7 | Progesterone determination in equine plasma using different immunoassays. | 1998 | 40 |
| 8 | 2020 | 37 | |
| 9 | 2013 | 37 | |
| 10 | 2014 | 37 | |
| 11 | 2005 | 34 | |
| 12 | 2020 | 34 | |
| 13 | 1998 | 28 | |
| 14 | 2012 | 28 | |
| 15 | 2022 | 27 | |
| 16 | 2017 | 24 | |
| 17 | 2021 | 22 | |
| 18 | 2000 | 21 | |
| 19 | 2003 | 21 | |
| 20 | 2000 | 20 |
About P. Nagy
P. Nagy is a scholar working on Food Science, Agronomy and Crop Science, Management, Monitoring, Policy and Law, Genetics and Public Health, Environmental and Occupational Health, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Animal Diversity and Health Studies (27 papers), Reproductive Physiology in Livestock (18 papers), Rangeland Management and Livestock Ecology (8 papers), Genetic and phenotypic traits in livestock (5 papers), Milk Quality and Mastitis in Dairy Cows (5 papers), Veterinary Equine Medical Research (5 papers), Sperm and Testicular Function (4 papers) and Reproductive Biology and Fertility (4 papers). The work is most often cited by research in Equine (139 citations), Agronomy and Crop Science (485 citations), Food Science (454 citations), Reproductive Medicine (147 citations) and Small Animals (122 citations). P. Nagy has collaborated with scholars based in United Arab Emirates, Hungary and France. Frequent co-authors include Judit Juhász, Daniel Guillaume, Gy. Huszenicza, Peter Daels, Jenő Reiczigel, Afaf Kamal‐Eldin, László Varga, J.A.C.M. Lohuis, U. Wernery and M Gacs. Their work appears in journals such as Theriogenology, Journal of Dairy Science, Animal Reproduction Science, Animal Frontiers and Food Chemistry.
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.