Roberto Steri

1.2k citations
38 papers · 589 indexed · h-index 16

Impact in

Papers in

Roberto Steri

34 papers receiving 568 citations

Peers

Roberto Steri
Comparison fields: 5 of 86
  • Animal Science and Zoology 218
  • Agronomy and Crop Science 155
  • Genetics 394
  • Small Animals 79
  • Equine 11
Replace G. Catillo with:
G. Catillo Italy
Rodrigo Pelicioni Savegnago Brazil
Robin Wellmann Germany
T. Pabiou Ireland
D. Vicario Italy
A.B. Samoré Italy
Rasoul Vaez Torshizi Iran
Tiago Bresolin Brazil
Aníbal Eugênio Vercesi Filho Brazil
Jérémie Vandenplas Netherlands
Roberto Steri relative to G. Catillo Italy G. Catillo's profile →
Citations per field
00.5×1.5×
G. Catillo · 1×
Citations per year

Countries citing papers authored by Roberto Steri

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Steri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20233
4 20214
5 20207
6 20205
7 202012
8 201811
9 201833
10 20184
11 201719
12 201619
13 201325
14 20139
15 201228
16 201221
17 201216
18
Associations between candidate gene polymorphisms and milk production traits in Alpine goats farmed in Italy
20120
19 201028
20 200920

About Roberto Steri

Roberto Steri is a scholar working on Animal Science and Zoology, Agronomy and Crop Science, Genetics, Small Animals and Cancer Research, having authored 38 papers that have together received 589 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (27 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers), Effects of Environmental Stressors on Livestock (9 papers), Meat and Animal Product Quality (8 papers), Reproductive Physiology in Livestock (5 papers), Cancer-related molecular mechanisms research (5 papers), Ruminant Nutrition and Digestive Physiology (4 papers) and Genetics and Plant Breeding (4 papers). The work is most often cited by research in Animal Science and Zoology (218 citations), Agronomy and Crop Science (155 citations), Genetics (394 citations), Small Animals (79 citations) and Equine (11 citations). Roberto Steri has collaborated with scholars based in Italy, Russia and United States. Frequent co-authors include N.P.P. Macciotta, Corrado Dimauro, G. Catillo, Giustino Gaspa, Giuseppe Pulina, Francesca Antonucci, Federico Pallottino, Corrado Costa, Paolo Menesatti and S.P.G. Rassu. Their work appears in journals such as animal, Italian Journal of Animal Science, Meat Science, Computers and Electronics in Agriculture and Journal of Dairy Research.

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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