Javier Arroyo
Impact in
- Infectious Diseases top 2%
- Antifungal resistance and susceptibility
- Molecular Biology top 2%
- Fungal and yeast genetics research
Papers in
-
- Fungal and yeast genetics research 49
- Studies on Chitinases and Chitosanases 6
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- Plant-Microbe Interactions and Immunity 19
- Polysaccharides and Plant Cell Walls 16
- Co-authors
- César Nombela (40 shared papers)José M. Rodríguez-Peña (33 shared papers)Raúl García (21 shared papers)Enrico Cabib (6 shared papers)Clara Bermejo (11 shared papers)Ana Belén Sanz (15 shared papers)Alberto Álvarez (8 shared papers)Noelia Blanco (7 shared papers)
- Journals
- Yeast (7 papers)Journal of Virology (5 papers)Journal of Biological Chemistry (5 papers)BMC Genomics (4 papers)Scientific Reports (3 papers)
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Javier Arroyo
91 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 114
- Infectious Diseases 738
- Molecular Biology 2.8k
- Plant Science 1.5k
- Cell Biology 523
- Biotechnology 219
Countries citing papers authored by Javier Arroyo
This map shows the geographic impact of Javier Arroyo'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 Arroyo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Arroyo more than expected).
Fields of papers citing papers by Javier Arroyo
This network shows the impact of papers produced by Javier Arroyo. 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 Arroyo. The network helps show where Javier Arroyo may publish in the future.
Co-authors
The 25 scholars most cited alongside Javier Arroyo, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 298 | |
| 2 | 2003 | 222 | |
| 3 | 2000 | 200 | |
| 4 | 1991 | 169 | |
| 5 | 2008 | 167 | |
| 6 | 2010 | 147 | |
| 7 | 2001 | 137 | |
| 8 | 2009 | 136 | |
| 9 | 1993 | 129 | |
| 10 | 2013 | 124 | |
| 11 | 2006 | 118 | |
| 12 | 2000 | 114 | |
| 13 | 2006 | 111 | |
| 14 | 2017 | 105 | |
| 15 | 2016 | 98 | |
| 16 | 2000 | 90 | |
| 17 | 2012 | 84 | |
| 18 | 2008 | 79 | |
| 19 | 2021 | 71 | |
| 20 | 2010 | 69 |
About Javier Arroyo
Javier Arroyo is a scholar working on Molecular Biology, Plant Science, Biomedical Engineering, Immunology and Epidemiology, having authored 92 papers that have together received 4.5k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (49 papers), Biofuel production and bioconversion (22 papers), Plant-Microbe Interactions and Immunity (19 papers), Polysaccharides and Plant Cell Walls (16 papers), Immune Cell Function and Interaction (7 papers), Antifungal resistance and susceptibility (6 papers), T-cell and B-cell Immunology (6 papers) and Studies on Chitinases and Chitosanases (6 papers). The work is most often cited by research in Infectious Diseases (738 citations), Molecular Biology (2.8k citations), Plant Science (1.5k citations), Cell Biology (523 citations) and Biotechnology (219 citations). Javier Arroyo has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include César Nombela, José M. Rodríguez-Peña, Raúl García, Enrico Cabib, Clara Bermejo, Ana Belén Sanz, Alberto Álvarez, Noelia Blanco, Jean François and Marı́a Molina. Their work appears in journals such as Yeast, Journal of Virology, Journal of Biological Chemistry, BMC Genomics 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.