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 31
- Animal Diversity and Health Studies 30
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- Reproductive Physiology in Livestock 19
- Milk Quality and Mastitis in Dairy Cows 5
- Co-authors
- Judit Juhász (23 shared papers)Daniel Guillaume (4 shared papers)Gy. Huszenicza (4 shared papers)Jenő Reiczigel (10 shared papers)Peter Daels (2 shared papers)Afaf Kamal‐Eldin (4 shared papers)László Varga (4 shared papers)Julian A. Skidmore (5 shared papers)
- Journals
- Theriogenology (8 papers)Journal of Dairy Science (6 papers)Animal Reproduction Science (4 papers)Food Chemistry (2 papers)Tropical Animal Health and Production (2 papers)
- Partner nations
- United Arab EmiratesHungaryFrance
In The Last Decade
P. Nagy
50 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Equine 143
- Agronomy and Crop Science 505
- Food Science 514
- Reproductive Medicine 145
- Small Animals 133
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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 118 | |
| 2 | 2000 | 95 | |
| 3 | 1998 | 94 | |
| 4 | 2020 | 66 | |
| 5 | 2016 | 50 | |
| 6 | 2013 | 45 | |
| 7 | 2012 | 43 | |
| 8 | Progesterone determination in equine plasma using different immunoassays. | 1998 | 42 |
| 9 | 2014 | 41 | |
| 10 | 2020 | 40 | |
| 11 | 2020 | 38 | |
| 12 | 2022 | 36 | |
| 13 | 2005 | 34 | |
| 14 | 1998 | 30 | |
| 15 | 2012 | 30 | |
| 16 | 2017 | 27 | |
| 17 | 2000 | 25 | |
| 18 | 2021 | 23 | |
| 19 | 2014 | 23 | |
| 20 | 2003 | 23 |
About P. Nagy
P. Nagy is a scholar working on Food Science, Agronomy and Crop Science, Management, Monitoring, Policy and Law, Genetics and Equine, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Animal Diversity and Health Studies (30 papers), Reproductive Physiology in Livestock (19 papers), Rangeland Management and Livestock Ecology (8 papers), Veterinary Equine Medical Research (6 papers), Genetic and phenotypic traits in livestock (5 papers), Milk Quality and Mastitis in Dairy Cows (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 (143 citations), Agronomy and Crop Science (505 citations), Food Science (514 citations), Reproductive Medicine (145 citations) and Small Animals (133 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, Jenő Reiczigel, Peter Daels, Afaf Kamal‐Eldin, László Varga, Julian A. Skidmore, M Gacs and U. Wernery. Their work appears in journals such as Theriogenology, Journal of Dairy Science, Animal Reproduction Science, Food Chemistry and Tropical Animal Health and Production.
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.