Danielle Assis de Faria

2.6k citations
48 papers · 1.2k indexed · h-index 18

Danielle Assis de Faria

45 papers receiving 1.2k citations

Peers

Danielle Assis de Faria
Comparison fields: 5 of 71
  • Genetics 719
  • Animal Science and Zoology 158
  • Plant Science 522
  • Cell Biology 213
  • Nature and Landscape Conservation 157
Replace Charles A. Hefer with:
Charles A. Hefer South Africa
Kari Elo Finland
Giovanny Covarrubias‐Pazaran United States
Elhan S. Ersoz United States
Amanda J. Chamberlain Australia
Federica Cattonaro Italy
David E. Harry United States
Roberto Carvalheiro Brazil
Anita L. Brûlé‐Babel Canada
Roberta Ciampolini Italy
Danielle Assis de Faria relative to Charles A. Hefer South Africa Charles A. Hefer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Danielle Assis de Faria

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Assis de Faria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle Assis de Faria. 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 Danielle Assis de Faria. The network helps show where Danielle Assis de Faria may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20230
3 20233
4 20222
5 20223
6 202210
7 20212
8 20217
9 202079
10 20203
11 20204
12 201922
13 201910
14 201129
15 201175
16 201043
17 201050
18 20095
19 20095
20
Genetic diversity in naturalized and commercial pig breeds in Brazil.
20060

About Danielle Assis de Faria

Danielle Assis de Faria is a scholar working on Genetics, Cell Biology, Animal Science and Zoology, Equine and Agronomy and Crop Science, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (25 papers), Genetic diversity and population structure (17 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers), Plant Pathogens and Fungal Diseases (13 papers), Animal Genetics and Reproduction (7 papers), Yeasts and Rust Fungi Studies (6 papers), Effects of Environmental Stressors on Livestock (6 papers) and Meat and Animal Product Quality (4 papers). The work is most often cited by research in Genetics (719 citations), Animal Science and Zoology (158 citations), Plant Science (522 citations), Cell Biology (213 citations) and Nature and Landscape Conservation (157 citations). Danielle Assis de Faria has collaborated with scholars based in Brazil, United States and Australia. Frequent co-authors include Dário Grattapaglia, Orzenil B. Silva‐Junior, Samuel Rezende Paiva, Γεώργιος Παππάς, Concepta McManus, Andrzej Kilian, Elizabete Keiko Takahashi, Simone Eliza Facioni Guimarães, Aurélio Mendes Aguiar and Márcio F. R. Resende. Their work appears in journals such as Tree Genetics & Genomes, Tropical Animal Health and Production, Pesquisa Agropecuária Brasileira, Livestock Science and Scientific Reports.

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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