P. Morera

1.3k citations
32 papers · 1.1k · h-index 17

Impact in

Papers in

P. Morera

31 papers receiving 1.1k citations

Peers

P. Morera
Comparison fields: 5 of 94
  • Animal Science and Zoology 689
  • Agronomy and Crop Science 267
  • Small Animals 111
  • Nutrition and Dietetics 129
  • Physiology 168
Replace Lu Ma with:
Lu Ma China
Alessandro Zumbo Italy
K. Mahmoud Jordan
D. Shinder Israel
S. Shini Australia
W.J. Weber United States
Birendra Mishra United States
H. Juin France
D.W. Pethick Australia
R. D. Mateo United States
P. Morera relative to Lu Ma China Lu Ma's profile →
Citations per field
00.5×4.3×
Lu Ma · 1×
Citations per year

Countries citing papers authored by P. Morera

Since Specialization
Citations

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

Fields of papers citing papers by P. Morera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014176
2 2006166
3 2011127
4 201294
5 201765
6 201844
7 200843
8 201542
9 201942
10
Impact of hot environment on colostrum and milk composition.
201336
11 201534
12 200632
13 201530
14 200821
15 200921
16 201420
17 201817
18 199614
19 201014
20 200112

About P. Morera

P. Morera is a scholar working on Animal Science and Zoology, Molecular Biology, Agronomy and Crop Science, Physiology and Genetics, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Effects of Environmental Stressors on Livestock (11 papers), Adipose Tissue and Metabolism (6 papers), Rabbits: Nutrition, Reproduction, Health (6 papers), Reproductive Physiology in Livestock (6 papers), Meat and Animal Product Quality (5 papers), Genetic and phenotypic traits in livestock (4 papers), Heat shock proteins research (3 papers) and Insect Utilization and Effects (3 papers). The work is most often cited by research in Animal Science and Zoology (689 citations), Agronomy and Crop Science (267 citations), Small Animals (111 citations), Nutrition and Dietetics (129 citations) and Physiology (168 citations). P. Morera has collaborated with scholars based in Italy, Germany and Japan. Frequent co-authors include U. Bernabucci, Loredana Basiricò, A. Nardone, Nicola Lacetera, Daniele Dipasquale, D. Scalia, Andrea Vitali, L. Calamari, A. Tröscher and F. Piccioli-Cappelli. Their work appears in journals such as Journal of Dairy Science, Italian Journal of Animal Science, Journal of Molecular Endocrinology, animal and Cell Stress and Chaperones.

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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