Genı́s Parra
Impact in
- Plant Science top 1%
- Chromosomal and Genetic Variations
- Plant Disease Resistance and Genetics
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
Papers in
-
- Genomics and Phylogenetic Studies 14
- RNA and protein synthesis mechanisms 10
- RNA Research and Splicing 4
- Gene expression and cancer classification 3
- Genomics and Chromatin Dynamics 3
- Machine Learning in Bioinformatics 2
- Co-authors
- Ian KorfKeith BradnamRoderic GuigóEnrique BlancoCarson HoltMark YandellBarry MooreSofia Robb
- Journals
- Molecular Biology and Evolution (4 papers)Genome Research (4 papers)Current Protocols in Bioinformatics (3 papers)Nucleic Acids Research (3 papers)Annals of Oncology (2 papers)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Genı́s Parra
31 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Plant Science 2.0k
- Molecular Biology 3.4k
- Horticulture 43
- Genetics 1.1k
- Insect Science 413
Countries citing papers authored by Genı́s Parra
This map shows the geographic impact of Genı́s Parra'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 Genı́s Parra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Genı́s Parra more than expected).
Fields of papers citing papers by Genı́s Parra
This network shows the impact of papers produced by Genı́s Parra. 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 Genı́s Parra. The network helps show where Genı́s Parra may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Genı́s Parra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 8 | |
| 8 | 2021 | 5 | |
| 9 | 2020 | 34 | |
| 10 | 2018 | 52 | |
| 11 | 2016 | 28 | |
| 12 | 2013 | 28 | |
| 13 | 2011 | 123 | |
| 14 | 2008 | 143 | |
| 15 | 2008 | 296 | |
| 16 | MAKER: An easy-to-use annotation pipeline designed for emerging model organism genomes Hit paper breakdown → | 2007 | 1257 |
| 17 | 2005 | 148 | |
| 18 | 2005 | 276 | |
| 19 | 2003 | 138 | |
| 20 | 2000 | 266 |
About Genı́s Parra
Genı́s Parra is a scholar working on Gastroenterology, Molecular Biology, Plant Science, Genetics and Genetics, having authored 34 papers that have together received 5.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (14 papers), RNA and protein synthesis mechanisms (10 papers), Chromosomal and Genetic Variations (8 papers), Cancer Genomics and Diagnostics (4 papers), RNA Research and Splicing (4 papers), Gene expression and cancer classification (3 papers), Genomics and Chromatin Dynamics (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Plant Science (2.0k citations), Molecular Biology (3.4k citations), Horticulture (43 citations), Genetics (1.1k citations) and Insect Science (413 citations). Genı́s Parra has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Ian Korf, Keith Bradnam, Roderic Guigó, Enrique Blanco, Carson Holt, Mark Yandell, Barry Moore, Sofia Robb, Eric Ross and Alejandro Sánchez Alvarado. Their work appears in journals such as Molecular Biology and Evolution, Genome Research, Current Protocols in Bioinformatics, Nucleic Acids Research and Annals of Oncology.
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.