V. Fedele

1.2k citations
31 papers · 907 indexed · h-index 16

V. Fedele

31 papers receiving 852 citations

Peers

V. Fedele
Comparison fields: 5 of 99
  • Agronomy and Crop Science 395
  • Animal Science and Zoology 362
  • Small Animals 165
  • Food Science 248
  • Nutrition and Dietetics 158
Replace Narayan Dutta with:
Narayan Dutta India
Svetlana Kišidayová Slovakia
A. Orlov Israel
A.R. Patil United States
D.W. Pethick Australia
Ana Helena Dias Francesconi Italy
Flávio Dutra de Resende Brazil
Nadia Musco Italy
A. Muscio Italy
S.K.R. Karnati United States
V. Fedele relative to Narayan Dutta India Narayan Dutta's profile →
Citations per field
00.5×1.5×1.9×
Narayan Dutta · 1×
Citations per year

Countries citing papers authored by V. Fedele

Since Specialization
Citations

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

Fields of papers citing papers by V. Fedele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20184
2 201331
3 201143
4 20111
5 20112
6
Effect of feeding forage species on fatty acid profile of goat milk and cheese.
20091
7 200918
8 200929
9 20092
10 200843
11 200811
12 200736
13 200730
14 2007259
15
Flavonoids and terpenoids in goat milk in relation to forage intake
200638
16 20068
17 200415
18 200243
19 19977
20 199340

About V. Fedele

V. Fedele is a scholar working on Agronomy and Crop Science, Small Animals, Animal Science and Zoology, Process Chemistry and Technology and Nutrition and Dietetics, having authored 31 papers that have together received 907 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (9 papers), Genetic and phenotypic traits in livestock (6 papers), Reproductive Physiology in Livestock (6 papers), Helminth infection and control (5 papers), Meat and Animal Product Quality (4 papers), Milk Quality and Mastitis in Dairy Cows (3 papers), Food composition and properties (2 papers) and Advanced Chemical Sensor Technologies (2 papers). The work is most often cited by research in Agronomy and Crop Science (395 citations), Animal Science and Zoology (362 citations), Small Animals (165 citations), Food Science (248 citations) and Nutrition and Dietetics (158 citations). V. Fedele has collaborated with scholars based in Italy, France and Sweden. Frequent co-authors include Salvatore Claps, R. Rubino, M. Decandia, Yves Le Frileux, Adriana Di Trana, Pietro Celi, Giuseppe Cringoli, Vincenzo Veneziano, Laura Rinaldi and Lucia Sepe. Their work appears in journals such as Small Ruminant Research, Animal Science, Veterinary Parasitology, Journal of Dairy Science and Italian Journal of Animal Science.

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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