Lorenzo Serva

819 citations
51 papers · 623 indexed · h-index 16

Impact in

Papers in

Lorenzo Serva

46 papers receiving 616 citations

Peers

Lorenzo Serva
Comparison fields: 5 of 82
  • Animal Science and Zoology 291
  • Analytical Chemistry 241
  • Biophysics 60
  • Small Animals 73
  • Agronomy and Crop Science 93
Replace B. Uttaro with:
B. Uttaro Canada
N. Prieto Spain
Domenico Pietro Lo Fiego Italy
P.P. GRAHAM United States
H. Rouissi Tunisia
B. de la Roza-Delgado Spain
Adriana Lourenço Soares Brazil
A. Martínez-Fernández Spain
Ana Maria Bridi Brazil
A. Acciaioli Italy
Lorenzo Serva relative to B. Uttaro Canada B. Uttaro's profile →
Citations per field
00.5×1.5×1.8×
B. Uttaro · 1×
Citations per year

Countries citing papers authored by Lorenzo Serva

Since Specialization
Citations

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

Fields of papers citing papers by Lorenzo Serva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20243
4 20241
5 20243
6 202311
7 20233
8 20235
9 20231
10 20237
11 20231
12 20225
13 202023
14 202050
15 202019
16 201918
17 201814
18 20144
19 201314
20
DETERMINAZIONE DI PARAMETRI DI OUALITA : E AUTENTIČAZIONE IN SOGLIOLE TRAMITE NIRS
20082

About Lorenzo Serva

Lorenzo Serva is a scholar working on Animal Science and Zoology, Analytical Chemistry, Agronomy and Crop Science, Small Animals and Forestry, having authored 51 papers that have together received 623 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (19 papers), Spectroscopy and Chemometric Analyses (17 papers), Ruminant Nutrition and Digestive Physiology (14 papers), Animal Nutrition and Physiology (10 papers), Effects of Environmental Stressors on Livestock (9 papers), Genetic and phenotypic traits in livestock (7 papers), Advanced Chemical Sensor Technologies (7 papers) and Bee Products Chemical Analysis (6 papers). The work is most often cited by research in Animal Science and Zoology (291 citations), Analytical Chemistry (241 citations), Biophysics (60 citations), Small Animals (73 citations) and Agronomy and Crop Science (93 citations). Lorenzo Serva has collaborated with scholars based in Italy, Türkiye and Austria. Frequent co-authors include Giorgio Marchesini, Igino Andrighetto, Luca Fasolato, Stefania Balzan, Severino Segato, Barbara Contiero, Enrico Novelli, Antonella Dalle Zotte, Rebecca Ricci and Marco Cullere. Their work appears in journals such as Animals, Food Control, Animal Feed Science and Technology, Italian Journal of Animal Science and Agronomy.

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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