M. Malacarne

2.0k citations
62 papers · 1.6k · h-index 21

Impact in

Papers in

M. Malacarne

62 papers receiving 1.5k citations

Peers

M. Malacarne
Comparison fields: 5 of 94
  • Agronomy and Crop Science 683
  • Food Science 796
  • Equine 67
  • Animal Science and Zoology 357
  • Electrochemistry 138
Replace Paul S. Kindstedt with:
Paul S. Kindstedt United States
Marelize Botes South Africa
N. M. Rodríguez Brazil
Michel Piot France
Marcin Gołębiewski Poland
Mariusz Florek Poland
Noel A. McCarthy Ireland
Isa Fusaro Italy
Graeme N. Jarvis United States
Adriano Henrique do Nascimento Rangel Brazil
M. Malacarne relative to Paul S. Kindstedt United States Paul S. Kindstedt's profile →
Citations per field
00.5×10×20×33.5×
Paul S. Kindstedt · 1×
Citations per year

Countries citing papers authored by M. Malacarne

Since Specialization
Citations

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

Fields of papers citing papers by M. Malacarne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002262
2 2000178
3 199997
4 201382
5 200673
6 201964
7 202050
8 201750
9 201946
10 201846
11 200944
12 201539
13 200835
14 201234
15 201933
16 200932
17 202128
18 201524
19 201423
20 201621

About M. Malacarne

M. Malacarne is a scholar working on Agronomy and Crop Science, Food Science, Genetics, Animal Science and Zoology and Molecular Biology, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include Milk Quality and Mastitis in Dairy Cows (40 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 (683 citations), Food Science (796 citations), Equine (67 citations), Animal Science and Zoology (357 citations) and Electrochemistry (138 citations). M. Malacarne has collaborated with scholars based in Italy, Hungary and China. Frequent co-authors include Andrea Summer, P. Franceschi, P. Formaggioni, Primo Mariani, F. Martuzzi, Sergio Ferro, Achille De Battisti, G. Lodi, Giovanni Bittante and Alessio Cecchinato. Their work appears in journals such as Journal of Dairy Science, International Dairy Journal, Journal of Dairy Research, Italian Journal of Animal Science 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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