G. Huszenicza
- Agronomy and Crop Science top 0.5%
- Genetics top 5%
- Small Animals top 2%
- Animal Science and Zoology top 5%
- Food Science top 10%
- Co-authors
- Margit KulcsárSatu PyöräläJ. HirvonenSz. JánosiHedvig FébelHannu SaloniemiKari K. EklundA.-M. Teppo
- Topics
- Reproductive Physiology in Livestock (23 papers)Genetic and phenotypic traits in livestock (9 papers)Milk Quality and Mastitis in Dairy Cows (9 papers)
In The Last Decade
G. Huszenicza
37 papers receiving 809 citations
Peers
Comparison fields: 5 of 70
- Agronomy and Crop Science 734
- Genetics 350
- Small Animals 215
- Animal Science and Zoology 156
- Food Science 90
Countries citing papers authored by G. Huszenicza
This map shows the geographic impact of G. Huszenicza'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 G. Huszenicza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Huszenicza more than expected).
Fields of papers citing papers by G. Huszenicza
This network shows the impact of papers produced by G. Huszenicza. 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 G. Huszenicza. The network helps show where G. Huszenicza may publish in the future.
Co-authorship network of co-authors of G. Huszenicza
This figure shows the co-authorship network connecting the top 25 collaborators of G. Huszenicza. A scholar is included among the top collaborators of G. Huszenicza based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. Huszenicza. G. Huszenicza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | Study on changes in metabolic hormone levels and association with the outcome of superovulation and embryo transfer in ewes | 2 |
| 3 | 90 | |
| 4 | 22 | |
| 5 | 15 | |
| 6 | 28 | |
| 7 | 79 | |
| 8 | 21 | |
| 9 | 29 | |
| 10 | SERUM THYROXINE AND TRIIODOTHYRONINE CONCENTRATIONS PRIOR TO AND AFTER DELIVERY IN PRIMIPAROUS HOLSTEIN COWS | 13 |
| 11 | 72 | |
| 12 | 7 | |
| 13 | Prototheca zopfii mastitis in cattle: first diagnosis in Hungary. | 1 |
| 14 | 20 | |
| 15 | 63 | |
| 16 | 29 | |
| 17 | 3 | |
| 18 | 5 | |
| 19 | 12 | |
| 20 | Characteristics of genital and metabolic functions of suckling beef cows at the beginning of the breeding season in large-scale farms in Hungary. | 2 |
About G. Huszenicza
G. Huszenicza is a scholar working on Agronomy and Crop Science, Equine and Small Animals, having authored 37 papers that have together received 894 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (23 papers), Genetic and phenotypic traits in livestock (9 papers) and Milk Quality and Mastitis in Dairy Cows (9 papers). The work is most often cited by research in Agronomy and Crop Science (734 citations), Small Animals (215 citations) and Equine (44 citations). G. Huszenicza has collaborated with scholars based in Hungary, Finland and France. Frequent co-authors include Margit Kulcsár, Satu Pyörälä, J. Hirvonen, Sz. Jánosi, Hedvig Fébel, Hannu Saloniemi, Kari K. Eklund, A.-M. Teppo, Orsolya Balogh and V. Faigl. Their work appears in journals such as Theriogenology, Animal Reproduction Science and Veterinary Record.
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.