M. Piccinno

25 papers receiving 275 citations

Peers

M. Piccinno
Comparison fields: 5 of 80
  • Agronomy and Crop Science 93
  • Small Animals 36
  • Equine 6
  • Animal Science and Zoology 38
  • Immunology 60
Replace Maddalena Mutinati with:
Maddalena Mutinati Italy
Shigeo Fukuda Japan
Anaïs Vitorino Carvalho France
Andreas Vernunft Germany
Phillip J. Bridges United States
Christine Spinka United States
Hiroko Ishiwata Japan
R. V. Anthony United States
Sarah McCoski United States
Rodrigo Manjarín United States
M. Piccinno relative to Maddalena Mutinati Italy Maddalena Mutinati's profile →
Citations per field
00.5×1.5×
Maddalena Mutinati · 1×
Citations per year

Countries citing papers authored by M. Piccinno

Since Specialization
Citations

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

Fields of papers citing papers by M. Piccinno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201374
2 201371
3 201334
4 201414
5 202312
6 201310
7 20149
8 20148
9 20166
10 20145
11 20165
12 20165
13 20185
14 20174
15 20183
16 20163
17
Oxidative status along different stages of pregnancy in dairy cows
20202
18 20172
19 20162
20 20152

About M. Piccinno

M. Piccinno is a scholar working on Agronomy and Crop Science, Immunology, Social Psychology, Pulmonary and Respiratory Medicine and Reproductive Medicine, having authored 25 papers that have together received 283 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (13 papers), Reproductive System and Pregnancy (7 papers), Neuroendocrine regulation and behavior (3 papers), Reproductive biology and impacts on aquatic species (2 papers), Aquaculture Nutrition and Growth (2 papers), Veterinary Oncology Research (2 papers), Hypothalamic control of reproductive hormones (2 papers) and Birth, Development, and Health (2 papers). The work is most often cited by research in Agronomy and Crop Science (93 citations), Small Animals (36 citations), Equine (6 citations), Animal Science and Zoology (38 citations) and Immunology (60 citations). M. Piccinno has collaborated with scholars based in Italy. Frequent co-authors include Raffaele Luigi Sciorsci, Annalisa Rizzo, Maddalena Mutinati, Maria A. Pantaleo, Girolamo Ranieri, Ilaria Marech, Rosa Patruno, Gianfranco D’Onghia, Gerardo Centoducati and M. DeRosa. Their work appears in journals such as Theriogenology, Reproduction in Domestic Animals, Critical Reviews in Oncology/Hematology, Research in Veterinary Science and Fish Physiology and Biochemistry.

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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