Anna Pécsi
Impact in
- Agronomy and Crop Science top 2%
- Reproductive Physiology in Livestock
- Ruminant Nutrition and Digestive Physiology
- Milk Quality and Mastitis in Dairy Cows
- Small Animals top 5%
- Animal health and immunology
Papers in ⓘ
-
- Reproductive Physiology in Livestock 8
- Livestock Management and Performance Improvement 1
-
- Effects of Environmental Stressors on Livestock 3
- Co-authors
- Margit Kulcsár (5 shared papers)Gy. Huszenicza (2 shared papers)Julia Foldi (1 shared paper)J.A.C.M. Lohuis (1 shared paper)Peter Cox (2 shared papers)István Komlósi (3 shared papers)András Gáspárdy (3 shared papers)Katalin Kovács (1 shared paper)
- Journals
- Animal Reproduction Science (2 papers)Theriogenology (1 paper)European Journal of Pediatrics (1 paper)Reproduction in Domestic Animals (1 paper)Acta Veterinaria Hungarica (2 papers)
- Partner nations
- HungaryUnited StatesUnited Kingdom
In The Last Decade
Anna Pécsi
9 papers receiving 281 citations
Peers
Comparison fields: 5 of 39
- Agronomy and Crop Science 260
- Small Animals 64
- Genetics 148
- Equine 8
- Animal Science and Zoology 36
Countries citing papers authored by Anna Pécsi
This map shows the geographic impact of Anna Pécsi'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 Anna Pécsi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Pécsi more than expected).
Fields of papers citing papers by Anna Pécsi
This network shows the impact of papers produced by Anna Pécsi. 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 Anna Pécsi. The network helps show where Anna Pécsi may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Pécsi, 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 | 2006 | 206 | |
| 2 | 2008 | 30 | |
| 3 | 2005 | 27 | |
| 4 | 2004 | 16 | |
| 5 | 2013 | 10 | |
| 6 | 2023 | 8 | |
| 7 | 2011 | 2 | |
| 8 | Use of cephalosporins for the treatment of dairy cows suffering of puerperal metritis and endometritis. | 2009 | 2 |
| 9 | 2004 | 1 | |
| 10 | Tejelő tehenek méhgyulladásának hatása a szaporodásbiológiai teljesítményre | 2007 | 0 |
About Anna Pécsi
Anna Pécsi is a scholar working on Agronomy and Crop Science, Animal Science and Zoology, Small Animals, Genetics and Endocrinology, Diabetes and Metabolism, having authored 10 papers that have together received 302 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (8 papers), Genetic and phenotypic traits in livestock (6 papers), Effects of Environmental Stressors on Livestock (3 papers), Animal health and immunology (2 papers), Thyroid Disorders and Treatments (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Livestock Management and Performance Improvement (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Agronomy and Crop Science (260 citations), Small Animals (64 citations), Genetics (148 citations), Equine (8 citations) and Animal Science and Zoology (36 citations). Anna Pécsi has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Margit Kulcsár, Gy. Huszenicza, Julia Foldi, J.A.C.M. Lohuis, Peter Cox, István Komlósi, András Gáspárdy, Katalin Kovács, László Kátai and Attila Zsolnai. Their work appears in journals such as Animal Reproduction Science, Theriogenology, European Journal of Pediatrics, Reproduction in Domestic Animals and Acta Veterinaria Hungarica.
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.