Massimo Pes

514 citations
23 papers · 396 indexed · h-index 11

Impact in

Papers in

Massimo Pes

20 papers receiving 382 citations

Peers

Massimo Pes
Comparison fields: 5 of 66
  • Food Science 273
  • Animal Science and Zoology 128
  • Nutrition and Dietetics 79
  • Agronomy and Crop Science 46
  • Biotechnology 36
Replace Elsa Helena Walter de Santana with:
Elsa Helena Walter de Santana Brazil
M. Dračková Czechia
Bernardo Prieto Spain
Gloria Silvestri Italy
Hüseyin Avni Kırmacı Türkiye
Valentina Pizzamiglio Italy
Yayong Liu China
D. M. D. L. Navarro United States
Margherita Cruciata Italy
Anastasios Aktypis Greece
Massimo Pes relative to Elsa Helena Walter de Santana Brazil Elsa Helena Walter de Santana's profile →
Citations per field
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Elsa Helena Walter de Santana · 1×
Citations per year

Countries citing papers authored by Massimo Pes

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Pes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20244
5 20243
6 20236
7 20204
8 20209
9 20204
10 201933
11 201814
12 20187
13 201624
14 20154
15 201521
16 201444
17 201443
18 201336
19 200042
20 199940

About Massimo Pes

Massimo Pes is a scholar working on Animal Science and Zoology, Food Science, Biotechnology, Nutrition and Dietetics and Endocrinology, having authored 23 papers that have together received 396 indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (12 papers), Meat and Animal Product Quality (10 papers), Protein Hydrolysis and Bioactive Peptides (8 papers), Identification and Quantification in Food (4 papers), Proteins in Food Systems (4 papers), Food Safety and Hygiene (2 papers), Listeria monocytogenes in Food Safety (2 papers) and Pharmaceutical and Antibiotic Environmental Impacts (2 papers). The work is most often cited by research in Food Science (273 citations), Animal Science and Zoology (128 citations), Nutrition and Dietetics (79 citations), Agronomy and Crop Science (46 citations) and Biotechnology (36 citations). Massimo Pes has collaborated with scholars based in Italy, Netherlands and Denmark. Frequent co-authors include A. Pirisi, Margherita Addis, M.F. Scintu, Antonio Paba, Luisa Mannu, Myriam Fiori, María Filippa Addis, Daniela Pagnozzi, Tonina Roggio and Vittorio Mazzarello. Their work appears in journals such as International Dairy Journal, Journal of Dairy Science, Small Ruminant Research, Food Research International and Fermentation.

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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