Daniela Gallo

837 citations
36 papers · 690 · h-index 16

Impact in

    • Milk Quality and Mastitis in Dairy Cows
  • Genetics top 10%
    • Animal Genetics and Reproduction
    • Genetic and phenotypic traits in livestock
    • Digestive system and related health

Papers in

    • Animal Genetics and Reproduction 12
    • Genetic and phenotypic traits in livestock 5
    • RNA and protein synthesis mechanisms 4
    • Protein Hydrolysis and Bioactive Peptides 3

Daniela Gallo

34 papers receiving 629 citations

Peers

Daniela Gallo
Comparison fields: 5 of 88
  • Agronomy and Crop Science 250
  • Genetics 275
  • Biochemistry 48
  • Food Science 112
  • Nutrition and Dietetics 66
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Raymond Dils United Kingdom
Kaïs Hussain Al-Gubory France
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MASUMI KADOWAKI Japan
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Xiaohong Sun China
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Gallo

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Gallo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200579
2 196677
3 196573
4 200165
5 200049
6 200441
7
Measurement of conjugated and unconjugated bilirubin in bile. II. A new thin-layer chromatographic method.
197629
8 200729
9 196624
10 198723
11 196422
12 200521
13 200321
14 196619
15 196518
16 197117
17 201713
18 201112
19 201910
20
Phospholipid and protein-bound phosphotus synthesis in the rabbit papilloma.
19539

About Daniela Gallo

Daniela Gallo is a scholar working on Genetics, Molecular Biology, Agronomy and Crop Science, Nutrition and Dietetics and Surgery, having authored 36 papers that have together received 690 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (12 papers), Milk Quality and Mastitis in Dairy Cows (8 papers), Genetic and phenotypic traits in livestock (5 papers), Infant Nutrition and Health (4 papers), RNA and protein synthesis mechanisms (4 papers), Protein Hydrolysis and Bioactive Peptides (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Agronomy and Crop Science (250 citations), Genetics (275 citations), Biochemistry (48 citations), Food Science (112 citations) and Nutrition and Dietetics (66 citations). Daniela Gallo has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include G. Cosenza, A. Leonard Sheffner, K. Bailey, Alfredo Pauciullo, A. Rando, Herbert P. Sarett, Luigi Ramunno, P. Masina, D. Di Berardino and L. Ramunno. Their work appears in journals such as Experimental Biology and Medicine, Journal of Dairy Research, Animal Genetics, Gene and Journal of Dairy 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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