C.I.V. Manzanilla-Pech

510 citations
22 papers · 348 indexed · h-index 10
Topics
Genetic and phenotypic traits in livestock (22 papers)Effects of Environmental Stressors on Livestock (11 papers)Ruminant Nutrition and Digestive Physiology (9 papers)

In The Last Decade

C.I.V. Manzanilla-Pech

21 papers receiving 337 citations

Peers

C.I.V. Manzanilla-Pech
Comparison fields: 5 of 36
  • Genetics 271
  • Agronomy and Crop Science 235
  • Animal Science and Zoology 137
  • Ecology 48
  • Small Animals 26
Replace N. Krattenmacher with:
N. Krattenmacher Germany
Roger Hegarty Australia
Ghader Manafiazar Canada
Johanna Höglund Denmark
Paul F. Arthur Australia
K. A. Donoghue Australia
RM Herd
T. Bird-Gardiner Australia
Florian Grandl Switzerland
Evans K. Cheruiyot Australia
C.I.V. Manzanilla-Pech relative to N. Krattenmacher Germany N. Krattenmacher's profile →
Citations per field
00.5×3.1×
N. Krattenmacher · 1×
Citations per year

Countries citing papers authored by C.I.V. Manzanilla-Pech

Since Specialization
Citations

This map shows the geographic impact of C.I.V. Manzanilla-Pech'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 C.I.V. Manzanilla-Pech with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.I.V. Manzanilla-Pech more than expected).

Fields of papers citing papers by C.I.V. Manzanilla-Pech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.I.V. Manzanilla-Pech. 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 C.I.V. Manzanilla-Pech. The network helps show where C.I.V. Manzanilla-Pech may publish in the future.

Co-authorship network of co-authors of C.I.V. Manzanilla-Pech

This figure shows the co-authorship network connecting the top 25 collaborators of C.I.V. Manzanilla-Pech. A scholar is included among the top collaborators of C.I.V. Manzanilla-Pech based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C.I.V. Manzanilla-Pech. C.I.V. Manzanilla-Pech is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 1
4 5
5 7
6 13
7 29
8 10
9 1
10 70
11 16
12 18
13
Genomic prediction of feed intake using predictor traits
1
14 9
15 2
16 43
17 48
18
Genetic Parameters and Accuracy of recording Dry Matter Intake in first parity Holstein-Friesian cows
7
19 59
20 1

About C.I.V. Manzanilla-Pech

C.I.V. Manzanilla-Pech is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Genetics, having authored 22 papers that have together received 348 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (22 papers), Effects of Environmental Stressors on Livestock (11 papers) and Ruminant Nutrition and Digestive Physiology (9 papers). The work is most often cited by research in Agronomy and Crop Science (235 citations), Animal Science and Zoology (137 citations) and Genetics (271 citations). C.I.V. Manzanilla-Pech has collaborated with scholars based in Denmark, Australia and Netherlands. Frequent co-authors include Jan Lassen, J.E. Pryce, Y. de Haas, Gareth F. Difford, Peter Løvendahl, R.F. Veerkamp, M.P.L. Calus, R.L.G. Zom, A.T.M. van Knegsel and F. Miglior. Their work appears in journals such as Journal of Dairy Science, Journal of Animal Science and Computers and Electronics in Agriculture.

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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