Marta Farré
- Genetics top 2%
- Plant Science top 5%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 10%
- Paleontology top 10%
- Co-authors
- Aurora Ruiz‐HerreraDenis M. LarkinTerence J. RobinsonDarren K. GriffinJoana DamasJaebum KimDiego MichelettiRebecca E. O’Connor
- Topics
- Chromosomal and Genetic Variations (34 papers)Genomics and Phylogenetic Studies (27 papers)Genetic diversity and population structure (20 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Marta Farré
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 77
- Genetics 768
- Plant Science 730
- Molecular Biology 638
- Ecology, Evolution, Behavior and Systematics 80
- Paleontology 59
Countries citing papers authored by Marta Farré
This map shows the geographic impact of Marta Farré'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 Marta Farré with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Farré more than expected).
Fields of papers citing papers by Marta Farré
This network shows the impact of papers produced by Marta Farré. 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 Marta Farré. The network helps show where Marta Farré may publish in the future.
Co-authorship network of co-authors of Marta Farré
This figure shows the co-authorship network connecting the top 25 collaborators of Marta Farré. A scholar is included among the top collaborators of Marta Farré 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 Marta Farré. Marta Farré is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 20 | |
| 6 | 66 | |
| 7 | Jurassic spark: Mapping the genomes of birds and other dinosaurs | 1 |
| 8 | 54 | |
| 9 | 49 | |
| 10 | 24 | |
| 11 | 1 | |
| 12 | 49 | |
| 13 | 21 | |
| 14 | Assembling and comparing avian genomes by molecular cytogenetics | 1 |
| 15 | Comparative cytogenomics enhanced with bioinformatic tools provides further insights into genome evolution of birds and other amniotes | 1 |
| 16 | Avian chromonomics goes functional | 1 |
| 17 | AVIAN ANCESTRAL KARYOTYPE RECONSTRUCTION AND DIFFERENTIAL RATES OF INTER-AND INTRA-CHROMOSOMAL CHANGE IN DIFFERENT LINEAGES | 2 |
| 18 | TOWARDS THE CONSTRUCTION OF AVIAN CHROMOSOME ASSEMBLIES | 1 |
| 19 | 2 | |
| 20 | 56 |
About Marta Farré
Marta Farré is a scholar working on Genetics, Plant Science and Molecular Biology, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (34 papers), Genomics and Phylogenetic Studies (27 papers) and Genetic diversity and population structure (20 papers). The work is most often cited by research in Genetics (768 citations), Plant Science (730 citations) and Molecular Biology (638 citations). Marta Farré has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Aurora Ruiz‐Herrera, Denis M. Larkin, Terence J. Robinson, Darren K. Griffin, Joana Damas, Jaebum Kim, Diego Micheletti, Rebecca E. O’Connor, Francesc López‐Giráldez and Loretta Auvil. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.
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.