S. Failla

1.4k citations
91 papers · 1.1k · h-index 14

Impact in

Papers in

    • Meat and Animal Product Quality 34
    • Animal Nutrition and Physiology 21
    • Livestock Management and Performance Improvement 14
    • Ruminant Nutrition and Digestive Physiology 6
    • Milk Quality and Mastitis in Dairy Cows 6

S. Failla

74 papers receiving 1.0k citations

Peers

S. Failla
Comparison fields: 5 of 95
  • Animal Science and Zoology 745
  • Agronomy and Crop Science 196
  • Genetics 263
  • Food Science 153
  • Aquatic Science 48
Replace Pedro Eduardo de Felício with:
Pedro Eduardo de Felício Brazil
Oreste Franci Italy
R. Morales Chile
T. D. Pringle United States
A. Acciaioli Italy
Nicola M. Schreurs New Zealand
M. Blanco Spain
I. Sierra Spain
C. Pérez Spain
J. de la Fuente Spain
S. Failla relative to Pedro Eduardo de Felício Brazil Pedro Eduardo de Felício's profile →
Citations per field
00.5×3.5×
Pedro Eduardo de Felício · 1×
Citations per year

Countries citing papers authored by S. Failla

Since Specialization
Citations

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

Fields of papers citing papers by S. Failla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007208
2 2010165
3 201280
4 200874
5 200970
6 201249
7 201637
8 200435
9 201431
10 201522
11 201318
12 202118
13 201517
14 202115
15 202013
16 201813
17 202013
18 201612
19 201411
20 20079

About S. Failla

S. Failla is a scholar working on Animal Science and Zoology, Agronomy and Crop Science, Genetics, Molecular Biology and Food Science, having authored 91 papers that have together received 1.1k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (34 papers), Genetic and phenotypic traits in livestock (25 papers), Animal Nutrition and Physiology (21 papers), Livestock Management and Performance Improvement (14 papers), Ruminant Nutrition and Digestive Physiology (6 papers), Milk Quality and Mastitis in Dairy Cows (6 papers), Aquaculture Nutrition and Growth (4 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). The work is most often cited by research in Animal Science and Zoology (745 citations), Agronomy and Crop Science (196 citations), Genetics (263 citations), Food Science (153 citations) and Aquatic Science (48 citations). S. Failla has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include Michela Contò, M. Juárez, B. Panea, J. L. Williams, Per Ertbjerg, Jean-François J.-F. Hocquette, R.I. Richardson, P. Albertı́, J.L. Olleta and Mette Christensen. Their work appears in journals such as Italian Journal of Animal Science, Meat Science, Foods, Livestock Science and Applied 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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