Javier Carrera
Impact in
- Endocrinology top 10%
Papers in
-
- Gene Regulatory Network Analysis 16
- Microbial Metabolic Engineering and Bioproduction 8
- Bioinformatics and Genomic Networks 6
- CRISPR and Genetic Engineering 4
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- Plant Virus Research Studies 5
- Plant-Microbe Interactions and Immunity 4
- Co-authors
- Guillermo Rodrigo (19 shared papers)Alfonso Jaramillo (18 shared papers)Santiago F. Elena (10 shared papers)Markus W. Covert (1 shared paper)Kristala Jones Prather (1 shared paper)Jing Luo (1 shared paper)Vijai Singh (1 shared paper)Raíssa Estrela (1 shared paper)
- Journals
- BMC Systems Biology (2 papers)Biochimie (2 papers)Nucleic Acids Research (2 papers)Current Opinion in Plant Biology (1 paper)Scientific Reports (1 paper)
- Partner nations
- SpainFranceUnited States
In The Last Decade
Javier Carrera
25 papers receiving 618 citations
Peers
Comparison fields: 5 of 75
- Horticulture 7
- Endocrinology 34
- Molecular Biology 455
- Plant Science 213
- Genetics 109
Countries citing papers authored by Javier Carrera
This map shows the geographic impact of Javier Carrera'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 Javier Carrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Carrera more than expected).
Fields of papers citing papers by Javier Carrera
This network shows the impact of papers produced by Javier Carrera. 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 Javier Carrera. The network helps show where Javier Carrera may publish in the future.
Co-authors
The 25 scholars most cited alongside Javier Carrera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 80 | |
| 2 | 2014 | 60 | |
| 3 | 2012 | 58 | |
| 4 | 2008 | 58 | |
| 5 | 2009 | 54 | |
| 6 | 2011 | 50 | |
| 7 | 2015 | 44 | |
| 8 | 2011 | 34 | |
| 9 | 2011 | 28 | |
| 10 | 2007 | 28 | |
| 11 | 2009 | 24 | |
| 12 | 2010 | 18 | |
| 13 | 2012 | 15 | |
| 14 | 2009 | 13 | |
| 15 | 2009 | 12 | |
| 16 | 2012 | 10 | |
| 17 | 2010 | 8 | |
| 18 | 2012 | 8 | |
| 19 | 2008 | 7 | |
| 20 | 2010 | 7 |
About Javier Carrera
Javier Carrera is a scholar working on Molecular Biology, Plant Science, Genetics, Endocrine and Autonomic Systems and Ecology, having authored 25 papers that have together received 632 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (16 papers), Microbial Metabolic Engineering and Bioproduction (8 papers), Bioinformatics and Genomic Networks (6 papers), Plant Virus Research Studies (5 papers), Plant-Microbe Interactions and Immunity (4 papers), CRISPR and Genetic Engineering (4 papers), Evolution and Genetic Dynamics (4 papers) and Plant and Fungal Interactions Research (2 papers). The work is most often cited by research in Horticulture (7 citations), Endocrinology (34 citations), Molecular Biology (455 citations), Plant Science (213 citations) and Genetics (109 citations). Javier Carrera has collaborated with scholars based in Spain, France and United States. Frequent co-authors include Guillermo Rodrigo, Alfonso Jaramillo, Santiago F. Elena, Markus W. Covert, Kristala Jones Prather, Jing Luo, Vijai Singh, Raíssa Estrela, Ilias Tagkopoulos and Αθανάσιος Τσουκαλάς. Their work appears in journals such as BMC Systems Biology, Biochimie, Nucleic Acids Research, Current Opinion in Plant Biology 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.