Daniela Scalia

1.1k citations
13 papers · 955 · h-index 12

Impact in

Papers in

    • Ruminant Nutrition and Digestive Physiology 4
    • Reproductive Physiology in Livestock 4
    • Milk Quality and Mastitis in Dairy Cows 1
    • Animal health and immunology 5

Daniela Scalia

13 papers receiving 923 citations

Peers

Daniela Scalia
Comparison fields: 5 of 49
  • Agronomy and Crop Science 475
  • Animal Science and Zoology 264
  • Small Animals 147
  • Immunology 181
  • Physiology 10
Replace B.T.T.M. van Rens with:
B.T.T.M. van Rens Netherlands
W. Shawn Ramsey United States
Lea A. Rempel United States
James W. Frank United States
Robert R. Peters United States
CAROLYN R. BOYLE United States
V. P. Maurya India
F. Forcada Spain
Yoshiko MOTOI Japan
Soumen Naskar India
Daniela Scalia relative to B.T.T.M. van Rens Netherlands B.T.T.M. van Rens's profile →
Citations per field
00.5×2×3.4×
B.T.T.M. van Rens · 1×
Citations per year

Countries citing papers authored by Daniela Scalia

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Scalia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Daniela Scalia, 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 Scalia Line = papers co-authored together Daniela Scalia links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2006167
2 2005160
3 2006160
4 2004107
5 2005105
6 199673
7 199945
8 200143
9 199733
10 200231
11 200715
12 200214
13
Subclinical ketosis affects protective value of sheep colostrum and passive immunisation of lambs
20012

About Daniela Scalia

Daniela Scalia is a scholar working on Agronomy and Crop Science, Small Animals, Immunology, Animal Science and Zoology and Nuclear Energy and Engineering, having authored 13 papers that have together received 955 indexed citations. Recurring topics across this work include Animal health and immunology (5 papers), Ruminant Nutrition and Digestive Physiology (4 papers), Reproductive Physiology in Livestock (4 papers), Effects of Environmental Stressors on Livestock (3 papers), Aquaculture disease management and microbiota (3 papers), Immune Response and Inflammation (2 papers), Milk Quality and Mastitis in Dairy Cows (1 paper) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Agronomy and Crop Science (475 citations), Animal Science and Zoology (264 citations), Small Animals (147 citations), Immunology (181 citations) and Physiology (10 citations). Daniela Scalia has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include U. Bernabucci, Nicola Lacetera, A. Nardone, Bruno Ronchi, Loredana Basiricò, P. Morera, Luc Duchateau, Christian Burvenich, Kristel Demeyere and Giuseppe Scapigliati. Their work appears in journals such as Journal of Dairy Science, International Journal of Biometeorology, American Journal of Veterinary Research, Fish & Shellfish Immunology and Polar Biology.

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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