I. Anton
Impact in
- Animal Science and Zoology top 5%
- Meat and Animal Product Quality
- Animal Nutrition and Physiology
- Genetics top 10%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Genetic diversity and population structure
- Animal Genetics and Reproduction
Papers in
- Genetics 34
- Genetic and phenotypic traits in livestock 30
- Genetic Mapping and Diversity in Plants and Animals 18
- Genetic diversity and population structure 7
- Animal Genetics and Reproduction 6
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- Ruminant Nutrition and Digestive Physiology 3
- Co-authors
- Attila Zsolnai (44 shared papers)László Fésüs (7 shared papers)Katalin Kovács (4 shared papers)I. Holló (5 shared papers)István Egerszegi (6 shared papers)Christa Kühn (1 shared paper)Viktor Farkas (2 shared papers)Albano Beja‐Pereira (5 shared papers)
In The Last Decade
I. Anton
46 papers receiving 385 citations
Peers
Comparison fields: 5 of 62
- Animal Science and Zoology 101
- Genetics 261
- Agronomy and Crop Science 60
- Small Animals 23
- Cancer Research 34
Countries citing papers authored by I. Anton
This map shows the geographic impact of I. Anton'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 I. Anton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. Anton more than expected).
Fields of papers citing papers by I. Anton
This network shows the impact of papers produced by I. Anton. 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 I. Anton. The network helps show where I. Anton may publish in the future.
Co-authors
The 25 scholars most cited alongside I. Anton, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 35 | |
| 2 | 2003 | 28 | |
| 3 | 2012 | 25 | |
| 4 | 2006 | 24 | |
| 5 | 2008 | 22 | |
| 6 | 2012 | 22 | |
| 7 | 2005 | 21 | |
| 8 | 2015 | 19 | |
| 9 | 2014 | 16 | |
| 10 | 2012 | 14 | |
| 11 | 2019 | 12 | |
| 12 | 2020 | 11 | |
| 13 | 2018 | 11 | |
| 14 | 1999 | 11 | |
| 15 | 2013 | 10 | |
| 16 | 2013 | 9 | |
| 17 | 2006 | 9 | |
| 18 | 2022 | 8 | |
| 19 | 2002 | 8 | |
| 20 | 2018 | 7 |
About I. Anton
I. Anton is a scholar working on Genetics, Agronomy and Crop Science, Molecular Biology, Animal Science and Zoology and Small Animals, having authored 50 papers that have together received 413 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (30 papers), Genetic Mapping and Diversity in Plants and Animals (18 papers), Genetic diversity and population structure (7 papers), Animal Genetics and Reproduction (6 papers), Meat and Animal Product Quality (6 papers), Identification and Quantification in Food (4 papers), Ruminant Nutrition and Digestive Physiology (3 papers) and Animal Nutrition and Physiology (3 papers). The work is most often cited by research in Animal Science and Zoology (101 citations), Genetics (261 citations), Agronomy and Crop Science (60 citations), Small Animals (23 citations) and Cancer Research (34 citations). I. Anton has collaborated with scholars based in Hungary, Spain and Germany. Frequent co-authors include Attila Zsolnai, László Fésüs, Katalin Kovács, I. Holló, István Egerszegi, Christa Kühn, Viktor Farkas, Albano Beja‐Pereira, J. Rátky and Karin Nuernberg. Their work appears in journals such as Journal of Animal Breeding and Genetics, animal, Animals, Animal Bioscience and Asian-Australasian Journal of Animal Sciences.
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.