Matteo Bianchi

2.5k citations
10 papers · 97 indexed · h-index 7
Topics
Genetic and phenotypic traits in livestock (5 papers)Genetic Mapping and Diversity in Plants and Animals (3 papers)Genetic diversity and population structure (2 papers)
Partner nations
SwedenUnited StatesItaly

In The Last Decade

Matteo Bianchi

8 papers receiving 90 citations

Peers

Matteo Bianchi
Comparison fields: 5 of 36
  • Genetics 56
  • Animal Science and Zoology 28
  • Molecular Biology 23
  • Small Animals 13
  • Endocrinology, Diabetes and Metabolism 8
Replace U. Thieven with:
U. Thieven Germany
Sass Levi United Kingdom
R. G. Larson United States
S. Chigioni Italy
Yogesh Pandey India
Weijun Liang China
B. Kuhla Germany
Leif Andersson Sweden
Mitsuhiro Sakase Japan
Rebeca Magalhães Pedrosa Rocha Brazil
Matteo Bianchi relative to U. Thieven Germany U. Thieven's profile →
Citations per field
00.5×
U. Thieven · 1×
Citations per year

Countries citing papers authored by Matteo Bianchi

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Bianchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Bianchi

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Bianchi. A scholar is included among the top collaborators of Matteo Bianchi 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 Matteo Bianchi. Matteo Bianchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 4
2 7
3 8
4 14
5 9
6 21
7 25
8
Effects of SNPs in the myostatin gene and its promoter on young bulls at ANABIC (Italian Beef Cattle Breeders Association) performance test station
1
9
Molecular and phylogenetic analyses of mitochondrial DNA in three Italian sheep breeds
1
10 7

About Matteo Bianchi

Matteo Bianchi is a scholar working on Genetics, Nephrology and Animal Science and Zoology, having authored 10 papers that have together received 97 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (5 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Genetic diversity and population structure (2 papers). The work is most often cited by research in Equine (5 citations), Animal Science and Zoology (28 citations) and Genetics (56 citations). Matteo Bianchi has collaborated with scholars based in Sweden, United States and Italy. Frequent co-authors include Francesca Maria Sarti, Emiliano Lasagna, Vincenzo Landi, Simone Ceccobelli, Amparo Martínez, Juan Vicente Delgado Bermejo, Kerstin Lindblad‐Toh, Olle Kämpe, Åke Hedhammar and Göran Andersson. Their work appears in journals such as Bioinformatics, PLoS ONE and BMC Genomics.

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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