Massimo Malacarne

2.0k citations
64 papers · 1.7k · h-index 21

Impact in

Papers in

Massimo Malacarne

64 papers receiving 1.6k citations

Peers

Massimo Malacarne
Comparison fields: 5 of 99
  • Agronomy and Crop Science 696
  • Food Science 824
  • Equine 70
  • Animal Science and Zoology 366
  • Electrochemistry 145
Replace Marcin Gołębiewski with:
Marcin Gołębiewski Poland
Noel A. McCarthy Ireland
Graeme N. Jarvis United States
Qudrat Ullah Pakistan
Adriano Henrique do Nascimento Rangel Brazil
Samantha Joan Noel Denmark
Maximilian Cohen United States
M.A. Rudan United States
Carl H. Noller United States
Richard W. Stanley United States
Massimo Malacarne relative to Marcin Gołębiewski Poland Marcin Gołębiewski's profile →
Citations per field
00.5×20×40×60×72.5×
Marcin Gołębiewski · 1×
Citations per year

Countries citing papers authored by Massimo Malacarne

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Malacarne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002281
2 2000187
3 1999104
4 201386
5 200674
6 201969
7 202054
8 201753
9 201950
10 201848
11 200945
12 201540
13 200836
14 200933
15 201232
16 201932
17 202128
18 201524
19 201423
20 201623

About Massimo Malacarne

Massimo Malacarne is a scholar working on Agronomy and Crop Science, Food Science, Animal Science and Zoology, Genetics and Equine, having authored 64 papers that have together received 1.7k indexed citations. Recurring topics across this work include Milk Quality and Mastitis in Dairy Cows (42 papers), Probiotics and Fermented Foods (28 papers), Animal Diversity and Health Studies (19 papers), Meat and Animal Product Quality (12 papers), Genetic and phenotypic traits in livestock (8 papers), Digestive system and related health (8 papers), Proteins in Food Systems (7 papers) and Protein Hydrolysis and Bioactive Peptides (4 papers). The work is most often cited by research in Agronomy and Crop Science (696 citations), Food Science (824 citations), Equine (70 citations), Animal Science and Zoology (366 citations) and Electrochemistry (145 citations). Massimo Malacarne has collaborated with scholars based in Italy, Hungary and China. Frequent co-authors include Andrea P. Summer, P. Franceschi, P. Formaggioni, Primo Mariani, F. Martuzzi, Achille De Battisti, G. Lodi, Sergio Ferro, Giovanni Bittante and Alessio Cecchinato. Their work appears in journals such as Journal of Dairy Science, Journal of Dairy Research, Italian Journal of Animal Science, International Dairy Journal and Animals.

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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