Anna Pécsi

420 citations
10 papers · 307 · h-index 6

Impact in

    • Reproductive Physiology in Livestock
    • Ruminant Nutrition and Digestive Physiology
    • Milk Quality and Mastitis in Dairy Cows
    • Animal health and immunology

Papers in

Anna Pécsi

9 papers receiving 286 citations

Peers

Anna Pécsi
Comparison fields: 5 of 34
  • Agronomy and Crop Science 260
  • Small Animals 64
  • Genetics 147
  • Equine 8
  • Animal Science and Zoology 34
Replace M. Duchens with:
M. Duchens Chile
A.C.M. Arteche United States
Gokarna Gautam Nepal
D. Forderung Germany
Louis A. Guilbault Canada
Theerawat Swangchan-Uthai Thailand
M. Van Eetvelde Belgium
Sayed SHARAWY Egypt
Cássia Maria Barroso Orlandi Brazil
Ikuo Domeki Japan
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Citations per field
00.5×2.9×
M. Duchens · 1×
Citations per year

Countries citing papers authored by Anna Pécsi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Anna Pécsi Line = papers co-authored together Anna Pécsi links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2006209
2 200831
3 200528
4 200415
5 201311
6 20238
7 20112
8
Use of cephalosporins for the treatment of dairy cows suffering of puerperal metritis and endometritis.
20092
9 20041
10
Tejelő tehenek méhgyulladásának hatása a szaporodásbiológiai teljesítményre
20070

About Anna Pécsi

Anna Pécsi is a scholar working on Agronomy and Crop Science, Genetics, Animal Science and Zoology, Small Animals and Endocrinology, Diabetes and Metabolism, having authored 10 papers that have together received 307 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), COVID-19 Clinical Research Studies (1 paper), Thyroid Disorders and Treatments (1 paper), Reproductive Biology and Fertility (1 paper) and Sperm and Testicular Function (1 paper). The work is most often cited by research in Agronomy and Crop Science (260 citations), Small Animals (64 citations), Genetics (147 citations), Equine (8 citations) and Animal Science and Zoology (34 citations). Anna Pécsi has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Margit Kulcsár, Gy. Huszenicza, Peter Cox, J.A.C.M. Lohuis, Julia Foldi, István Komlósi, András Gáspárdy, Attila Zsolnai, Orsolya Balogh and Katalin Kovács. Their work appears in journals such as Animal Reproduction Science, European Journal of Pediatrics, Reproduction in Domestic Animals, Theriogenology 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.

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