Manuel Scerra

1.3k citations
44 papers · 1.1k · h-index 20

Impact in

Papers in

Manuel Scerra

43 papers receiving 1.0k citations

Peers

Manuel Scerra
Comparison fields: 5 of 67
  • Animal Science and Zoology 739
  • Agronomy and Crop Science 490
  • Nutrition and Dietetics 234
  • Biochemistry 52
  • Food Science 152
Replace P. Pennisi with:
P. Pennisi Italy
M. Bella Italy
A. Purroy Spain
Antonino Di Grigoli Italy
M.T. Dentinho Portugal
Antonio Natalello Italy
Kanber Kara Türkiye
A. Orlov Israel
L.M. Camacho Mexico
N. Prieto Spain
Manuel Scerra relative to P. Pennisi Italy P. Pennisi's profile →
Citations per field
00.5×4.6×
P. Pennisi · 1×
Citations per year

Countries citing papers authored by Manuel Scerra

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Scerra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009183
2 200983
3 200773
4 200859
5 200658
6 200557
7 200839
8 201338
9 201136
10 201132
11 201232
12 201531
13 201429
14 201528
15 201127
16 201026
17 201125
18 201321
19 202220
20 201319

About Manuel Scerra

Manuel Scerra is a scholar working on Animal Science and Zoology, Agronomy and Crop Science, Nutrition and Dietetics, Food Science and Insect Science, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (37 papers), Animal Nutrition and Physiology (28 papers), Ruminant Nutrition and Digestive Physiology (20 papers), Nuts composition and effects (5 papers), Fatty Acid Research and Health (4 papers), Genetic and phenotypic traits in livestock (3 papers), Bee Products Chemical Analysis (3 papers) and Phytochemicals and Antioxidant Activities (3 papers). The work is most often cited by research in Animal Science and Zoology (739 citations), Agronomy and Crop Science (490 citations), Nutrition and Dietetics (234 citations), Biochemistry (52 citations) and Food Science (152 citations). Manuel Scerra has collaborated with scholars based in Italy, United Kingdom and Tunisia. Frequent co-authors include Alessandro Priolo, Giuseppe Luciano, Massimiliano Lanza, Pasquale Caparra, Francesco Foti, Valeria Vasta, L. Biondi, Andrea Serra, Marcello Mele and Valentina Vasta. Their work appears in journals such as Meat Science, Italian Journal of Animal Science, Small Ruminant Research, Animals and animal.

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.

Explore authors with similar magnitude of impact