Jenő Reiczigel
- Ecology top 1%
- Parasitology top 0.5%
- Agronomy and Crop Science top 1%
- Ecology, Evolution, Behavior and Systematics top 2%
- Small Animals top 0.5%
- Co-authors
- Lajos RózsaGábor MajorosMarco MarozziIbolya FábiánZsolt LángMargit KulcsárGy. HuszeniczaP. Nagy
- Topics
- Reproductive Physiology in Livestock (20 papers)Genetic and phenotypic traits in livestock (11 papers)Cardiovascular Conditions and Treatments (7 papers)
- Cited by
- ParasitologySmall AnimalsEcology
- Journals
- Food ChemistryBiometricsEvolution
- Partner nations
- HungaryUnited Arab EmiratesItaly
In The Last Decade
Jenő Reiczigel
75 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Ecology 1.4k
- Parasitology 1.0k
- Agronomy and Crop Science 455
- Ecology, Evolution, Behavior and Systematics 454
- Small Animals 435
Countries citing papers authored by Jenő Reiczigel
This map shows the geographic impact of Jenő Reiczigel'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 Jenő Reiczigel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jenő Reiczigel more than expected).
Fields of papers citing papers by Jenő Reiczigel
This network shows the impact of papers produced by Jenő Reiczigel. 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 Jenő Reiczigel. The network helps show where Jenő Reiczigel may publish in the future.
Co-authorship network of co-authors of Jenő Reiczigel
This figure shows the co-authorship network connecting the top 25 collaborators of Jenő Reiczigel. A scholar is included among the top collaborators of Jenő Reiczigel 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 Jenő Reiczigel. Jenő Reiczigel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 51 | |
| 4 | 4 | |
| 5 | 15 | |
| 6 | 14 | |
| 7 | 21 | |
| 8 | 30 | |
| 9 | Effect of different prostaglandin protocols on fertility in dairy cows. | 0 |
| 10 | 108 | |
| 11 | 16 | |
| 12 | Bootstrap Wilcoxon-Mann-Whitney test for use in relation with non-shift alternatives | 2 |
| 13 | 21 | |
| 14 | 10 | |
| 15 | 212 | |
| 16 | 41 | |
| 17 | QUANTIFYING PARASITES IN SAMPLES OF HOSTSbreakdown → | 1085 |
| 18 | 5 | |
| 19 | 28 | |
| 20 | 5 |
About Jenő Reiczigel
Jenő Reiczigel is a scholar working on Agronomy and Crop Science, Equine and Parasitology, having authored 78 papers that have together received 3.0k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (20 papers), Genetic and phenotypic traits in livestock (11 papers) and Cardiovascular Conditions and Treatments (7 papers). The work is most often cited by research in Parasitology (1.0k citations), Small Animals (435 citations) and Ecology (1.4k citations). Jenő Reiczigel has collaborated with scholars based in Hungary, United Arab Emirates and Italy. Frequent co-authors include Lajos Rózsa, Gábor Majoros, Marco Marozzi, Ibolya Fábián, Zsolt Láng, Margit Kulcsár, Gy. Huszenicza, P. Nagy, Béla Tóthmérész and Judit Juhász. Their work appears in journals such as Food Chemistry, Biometrics and Evolution.
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.