Javier Ávalos

5.9k total citations · 1 hit paper
113 papers, 4.2k citations indexed

About

Javier Ávalos is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Javier Ávalos has authored 113 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 30 papers in Plant Science and 28 papers in Pharmacology. Recurrent topics in Javier Ávalos's work include Photosynthetic Processes and Mechanisms (31 papers), Plant biochemistry and biosynthesis (30 papers) and Antioxidant Activity and Oxidative Stress (27 papers). Javier Ávalos is often cited by papers focused on Photosynthetic Processes and Mechanisms (31 papers), Plant biochemistry and biosynthesis (30 papers) and Antioxidant Activity and Oxidative Stress (27 papers). Javier Ávalos collaborates with scholars based in Spain, Germany and Puerto Rico. Javier Ávalos's co-authors include M. Carmen Limón, Enrique Cerdá‐Olmedo, Alejandro F. Estrada, Salim Al‐Babili, Marı́a J. Rodrigo, Lourdes Gómez‐Gómez, Alfonso Prado‐Cabrero, Dámaso Hornero‐Méndez, Roberto Rodríguez-Ortiz and R. Fernández-Martín and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Javier Ávalos

111 papers receiving 4.1k citations

Hit Papers

A global perspective on carotenoids: Metabolism, biotechn... 2018 2026 2020 2023 2018 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Javier Ávalos Spain 37 2.1k 1.5k 1.1k 940 559 113 4.2k
Edgar B. Cahoon United States 58 6.9k 3.2× 5.1k 3.4× 775 0.7× 145 0.2× 748 1.3× 184 10.6k
Siva Ramamoorthy India 33 1.5k 0.7× 706 0.5× 389 0.4× 190 0.2× 151 0.3× 166 3.1k
Takuya Miyakawa Japan 35 2.4k 1.1× 2.2k 1.5× 185 0.2× 340 0.4× 68 0.1× 162 5.3k
Florian F. Bauer South Africa 43 2.8k 1.3× 2.4k 1.6× 589 0.5× 215 0.2× 60 0.1× 151 6.0k
A. Winkel United States 36 7.3k 3.4× 5.0k 3.3× 2.2k 2.0× 308 0.3× 112 0.2× 101 10.1k
Anita D. Panek Brazil 34 2.1k 1.0× 973 0.7× 143 0.1× 168 0.2× 79 0.1× 105 3.5k
Takashi Hirata Japan 33 1.2k 0.6× 316 0.2× 410 0.4× 99 0.1× 508 0.9× 133 3.6k
Markus Krischke Germany 28 1.8k 0.8× 2.0k 1.3× 271 0.2× 124 0.1× 93 0.2× 64 3.3k
Christian Giniès France 32 1.1k 0.5× 1.3k 0.9× 640 0.6× 86 0.1× 176 0.3× 77 3.4k
Ph. Matile Switzerland 35 2.2k 1.0× 2.0k 1.3× 197 0.2× 114 0.1× 128 0.2× 63 3.4k

Countries citing papers authored by Javier Ávalos

Since Specialization
Citations

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

Fields of papers citing papers by Javier Ávalos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Ávalos. 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 Ávalos. The network helps show where Javier Ávalos may publish in the future.

Co-authorship network of co-authors of Javier Ávalos

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Ávalos. A scholar is included among the top collaborators of Javier Ávalos 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 Javier Ávalos. Javier Ávalos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wiemann, Philipp, et al.. (2025). Phenotypic analyses of ΔwcoA and ΔwcoB mutants in Fusarium fujikuroi reveal dark and light-dependent functions as a white-collar complex. Fungal Genetics and Biology. 179. 104004–104004. 1 indexed citations
3.
Feldmann, Ingo, et al.. (2023). HmbC, a Protein of the HMG Family, Participates in the Regulation of Carotenoid Biosynthesis in Fusarium fujikuroi. Genes. 14(8). 1661–1661. 3 indexed citations
4.
Hornero‐Méndez, Dámaso, Sepalika Bandara, M. Carmen Limón, et al.. (2023). Bioavailability and provitamin A activity of neurosporaxanthin in mice. Communications Biology. 6(1). 1068–1068. 6 indexed citations
5.
Ávalos, Javier, et al.. (2022). Relation between CarS expression and activation of carotenogenesis by stress in Fusarium fujikuroi. Frontiers in Bioengineering and Biotechnology. 10. 1000129–1000129. 4 indexed citations
6.
Gutiérrez, Gabriel, et al.. (2021). Impact of the White Collar Photoreceptor WcoA on the Fusarium fujikuroi Transcriptome. Frontiers in Microbiology. 11. 619474–619474. 12 indexed citations
8.
Ferreira, Paulo Michel Pinheiro, et al.. (2019). Osmotolerance as a determinant of microbial ecology: A study of phylogenetically diverse fungi. Fungal Biology. 124(5). 273–288. 36 indexed citations
9.
Luque, Eva M., et al.. (2017). Transcriptional basis of enhanced photoinduction of carotenoid biosynthesis at low temperature in the fungus Neurospora crassa. Research in Microbiology. 169(2). 78–89. 24 indexed citations
10.
García–Martínez, Jorge, et al.. (2015). The CarO rhodopsin of the fungus Fusarium fujikuroi is a light-driven proton pump that retards spore germination. Scientific Reports. 5(1). 7798–7798. 59 indexed citations
11.
Limón, M. Carmen, et al.. (2015). A RALDH-like enzyme involved in Fusarium verticillioides development. Fungal Genetics and Biology. 86. 20–32. 7 indexed citations
12.
Brefort, Thomas, M. Carmen Limón, Alejandro F. Estrada, et al.. (2010). Cleavage of resveratrol in fungi: Characterization of the enzyme Rco1 from Ustilago maydis. Fungal Genetics and Biology. 48(2). 132–143. 28 indexed citations
13.
Estrada, Alejandro F. & Javier Ávalos. (2009). Regulation and Targeted Mutation of opsA, Coding for the NOP-1 Opsin Orthologue in Fusarium fujikuroi. Journal of Molecular Biology. 387(1). 59–73. 47 indexed citations
14.
Estrada, Alejandro F., et al.. (2008). Novel apocarotenoid intermediates in Neurospora crassa mutants imply a new biosynthetic reaction sequence leading to neurosporaxanthin formation. Fungal Genetics and Biology. 45(11). 1497–1505. 31 indexed citations
15.
Youssar, Loubna, Thomas J. Schmidhauser, & Javier Ávalos. (2004). The Neurospora crassa gene responsible for the cut and ovc phenotypes encodes a protein of the haloacid dehalogenase family. Molecular Microbiology. 55(3). 828–838. 19 indexed citations
16.
Ávalos, Javier, et al.. (1999). Gibberellin biosynthesis in Gibberella. Acta Botanica Gallica. 146(1). 55–65. 11 indexed citations
17.
Weinkove, David, et al.. (1998). Mutants ofPhycomyceswith Decreased Gallic Acid Content. Fungal Genetics and Biology. 25(3). 196–203. 12 indexed citations
18.
Ávalos, Javier, et al.. (1994). Oleaginous fungi: carotene-rich from Phycomyces. Progress in Lipid Research. 33(1-2). 185–192. 10 indexed citations
19.
Ávalos, Javier, et al.. (1990). Photoinduction of carotenoid biosynthesis inGibberella fujikuroi. FEMS Microbiology Letters. 66(1-3). 295–298. 27 indexed citations
20.
Ávalos, Javier. (1990). Photoinduction of carotenoid biosynthesis in Gibberella fujikuroi. FEMS Microbiology Letters. 66(1-3). 295–298. 1 indexed citations

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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