Viktor Stéger

559 citations
32 papers · 387 · h-index 10

Impact in

  • Genetics top 10%
    • Genetic and phenotypic traits in livestock
    • Genetic diversity and population structure
  • Urology top 10%
    • Hair Growth and Disorders

Papers in

    • Genetic and phenotypic traits in livestock 13
    • Genetic diversity and population structure 10
    • Genomics and Phylogenetic Studies 4
    • Bone Metabolism and Diseases 3
    • Identification and Quantification in Food 2

Viktor Stéger

29 papers receiving 382 citations

Peers

Viktor Stéger
Comparison fields: 5 of 42
  • Genetics 184
  • Urology 29
  • Physiology 10
  • Molecular Biology 133
  • Rheumatology 27
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Citations per year

Countries citing papers authored by Viktor Stéger

Since Specialization
Citations

This map shows the geographic impact of Viktor Stéger'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 Viktor Stéger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viktor Stéger more than expected).

Fields of papers citing papers by Viktor Stéger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Viktor Stéger. 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 Viktor Stéger. The network helps show where Viktor Stéger may publish in the future.

Co-authors

The 25 scholars most cited alongside Viktor Stéger, 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 Viktor Stéger Line = papers co-authored together Viktor Stéger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201852
2 201442
3 201035
4 200633
5 200632
6 200832
7 202425
8 201421
9 201615
10 201211
11 201310
12 201810
13 20139
14 20239
15 20208
16 20208
17 20177
18 20207
19 20176
20 20083

About Viktor Stéger

Viktor Stéger is a scholar working on Genetics, Molecular Biology, Rheumatology, Physiology and Orthopedics and Sports Medicine, having authored 32 papers that have together received 387 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (13 papers), Genetic diversity and population structure (10 papers), Genomics and Phylogenetic Studies (4 papers), Bone Metabolism and Diseases (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Identification and Quantification in Food (2 papers), Reproductive Physiology in Livestock (1 paper) and Bone health and osteoporosis research (1 paper). The work is most often cited by research in Genetics (184 citations), Urology (29 citations), Physiology (10 citations), Molecular Biology (133 citations) and Rheumatology (27 citations). Viktor Stéger has collaborated with scholars based in Hungary, Japan and Germany. Frequent co-authors include Endre Barta, László Orosz, Adrienn Borsy, Tibor Nagy, János György Nagy, Ferenc Marincs, Zoltán Zomborszky, István Gyurján, Peter Alexander Horn and Peter Laszlo Lakatos. Their work appears in journals such as Molecular Genetics and Genomics, Mammalian Biology, Animals, Journal of Forensic Sciences and Journal of Animal Breeding and Genetics.

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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