A. Lucaroni

21.5k citations
7 papers · 34 · h-index 5

Impact in

Papers in

A. Lucaroni

6 papers receiving 31 citations

Peers

A. Lucaroni
Comparison fields: 5 of 28
  • Radiation 7
  • Agronomy and Crop Science 8
  • Small Animals 4
  • Animal Science and Zoology 5
  • Endocrinology, Diabetes and Metabolism 6
Replace Patricia Fernández with:
Patricia Fernández Spain
Teresa Thompson United States
JM Petit France
Gladwyn Kingsley Noble Australia
S. Mueller United States
LeslieJ. Harris United Kingdom
H. G. Wilkens Netherlands
R.C. Mills United States
A. Kumar India
Daniel Rivera United States
A. Lucaroni relative to Patricia Fernández Spain Patricia Fernández's profile →
Citations per field
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Patricia Fernández · 1×
Citations per year

Countries citing papers authored by A. Lucaroni

Since Specialization
Citations

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

Fields of papers citing papers by A. Lucaroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside A. Lucaroni, 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 A. Lucaroni Line = papers co-authored together A. Lucaroni links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
[Plasma concentrations of thyroid hormones in the domestic goat. Seasonal variations in relation to age].
19839
2 20187
3 19676
4 19916
5 20195
6
Variations of some properties of goat milk after temporary suspension of milking at two different stages of lactation
19931
7
[Photochemical origin of the vitreo-positive component of the "early receptor potential" (R1)].
19680

About A. Lucaroni

A. Lucaroni is a scholar working on Agronomy and Crop Science, Molecular Biology, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Radiation, having authored 7 papers that have together received 34 indexed citations. Recurring topics across this work include Radiation Effects in Electronics (2 papers), Reproductive Physiology in Livestock (2 papers), Photoreceptor and optogenetics research (2 papers), Milk Quality and Mastitis in Dairy Cows (1 paper), Animal Diversity and Health Studies (1 paper), Parallel Computing and Optimization Techniques (1 paper), Embedded Systems Design Techniques (1 paper) and Photochromic and Fluorescence Chemistry (1 paper). The work is most often cited by research in Radiation (7 citations), Agronomy and Crop Science (8 citations), Small Animals (4 citations), Animal Science and Zoology (5 citations) and Endocrinology, Diabetes and Metabolism (6 citations). A. Lucaroni has collaborated with scholars based in Italy and Netherlands. Frequent co-authors include Alessandro Malfatti, F. Di Capua, Tomasz Szewczyk, L. Campajola, Alessandra Menicucci, Gianluca Furano, Marco Ottavi, M. Campajola, Federica Messina and C. Casoli. Their work appears in journals such as Applied Animal Behaviour Science, Advances in Space Research, Nuclear Engineering and Technology, Cellular and Molecular Life Sciences and PubMed.

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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