C.M.A. Barone

789 citations
37 papers · 625 · h-index 15

Impact in

Papers in

C.M.A. Barone

34 papers receiving 604 citations

Peers

C.M.A. Barone
Comparison fields: 5 of 84
  • Animal Science and Zoology 286
  • Agronomy and Crop Science 146
  • Food Science 109
  • Aquatic Science 37
  • Renewable Energy, Sustainability and the Environment 83
Replace Yookyung Lee with:
Yookyung Lee South Korea
Fengxia Wang China
K. Insausti Spain
Katerina Theodoridou United Kingdom
Samir Smeti Tunisia
Daniele de Jesus Ferreira Brazil
G. Rakow Canada
H. Itabashi Japan
Allah Bakhsh South Korea
Teodora Popova Bulgaria
C.M.A. Barone relative to Yookyung Lee South Korea Yookyung Lee's profile →
Citations per field
00.5×4.4×
Yookyung Lee · 1×
Citations per year

Countries citing papers authored by C.M.A. Barone

Since Specialization
Citations

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

Fields of papers citing papers by C.M.A. Barone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201872
2 201965
3 201757
4 200245
5 200338
6 201730
7 201528
8 201728
9 200224
10 201922
11 201922
12 200421
13 202017
14 200517
15 200717
16 201914
17 202113
18 200713
19 202312
20 201711

About C.M.A. Barone

C.M.A. Barone is a scholar working on Animal Science and Zoology, Genetics, Molecular Biology, Food Science and Agronomy and Crop Science, having authored 37 papers that have together received 625 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (20 papers), Animal Nutrition and Physiology (10 papers), Genetic and phenotypic traits in livestock (8 papers), Algal biology and biofuel production (4 papers), Aquaculture Nutrition and Growth (4 papers), Enzyme function and inhibition (4 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Sensory Analysis and Statistical Methods (3 papers). The work is most often cited by research in Animal Science and Zoology (286 citations), Agronomy and Crop Science (146 citations), Food Science (109 citations), Aquatic Science (37 citations) and Renewable Energy, Sustainability and the Environment (83 citations). C.M.A. Barone has collaborated with scholars based in Italy, Brazil and Russia. Frequent co-authors include Giovanni Sansone, Antonio Di Francia, D. Matassino, M. Occidente, Felicia Masucci, Francesco Serrapica, Iago Teles Dominguez Cabanelas, Iracema Andrade Nascimento, P. Giaccone and Massimo Todaro. Their work appears in journals such as Italian Journal of Animal Science, Animals, Journal of Enzyme Inhibition and Medicinal Chemistry, Small Ruminant Research and Meat Science.

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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