I. Anton

622 citations
51 papers · 459 · h-index 12

Impact in

  • Genetics top 10%
    • Genetic and phenotypic traits in livestock
    • Genetic diversity and population structure
    • Meat and Animal Product Quality

Papers in

I. Anton

50 papers receiving 437 citations

Peers

I. Anton
Comparison fields: 5 of 30
  • Genetics 340
  • Animal Science and Zoology 43
  • Equine 6
  • Agronomy and Crop Science 27
  • Ecology 16
Replace Farhad Bordbar with:
Farhad Bordbar China
Mohammad Hossein Moradi Iran
Marìa Verònica Ripoli Argentina
Rasoul Vaez Torshizi Iran
Scott E Speidel United States
Ramesh Kumar Vijh India
Raphael Bermal Costa Brazil
Sharon M. Armitage Australia
Badr Benjelloun France
R. K. Vijh India
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Citations per year

Countries citing papers authored by I. Anton

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201034
2 202333
3 200328
4 201225
5 201224
6 200623
7 200522
8 200822
9 201519
10 201215
11 201415
12 199912
13 201812
14 201912
15 202012
16 201310
17 202210
18 20069
19 20139
20 20028

About I. Anton

I. Anton is a scholar working on Genetics, Animal Science and Zoology, Equine, Reproductive Medicine and Ecology, Evolution, Behavior and Systematics, having authored 51 papers that have together received 459 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (38 papers), Genetic diversity and population structure (7 papers), Meat and Animal Product Quality (4 papers), Veterinary Equine Medical Research (2 papers), Prion Diseases and Protein Misfolding (2 papers), Animal Behavior and Reproduction (2 papers), Identification and Quantification in Food (2 papers) and Sperm and Testicular Function (2 papers). The work is most often cited by research in Genetics (340 citations), Animal Science and Zoology (43 citations), Equine (6 citations), Agronomy and Crop Science (27 citations) and Ecology (16 citations). I. Anton has collaborated with scholars based in Hungary, Spain and Germany. Frequent co-authors include Attila Zsolnai, László Fésüs, István Egerszegi, Christa Kühn, Albano Beja‐Pereira, Karin Nuernberg, István Komlósi, Jozsef RÁTKY, Nuno Miguel Monteiro and Juan Carranza. Their work appears in journals such as Journal of Animal Breeding and Genetics, Animal Bioscience, animal, Animals 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.

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