Javier Ribera
Impact in
- Cell Biology top 10%
- melanin and skin pigmentation
- Plant Pathogens and Fungal Diseases
- Biomaterials top 10%
- Advanced Cellulose Research Studies
Papers in ⓘ
-
- Enzyme-mediated dye degradation 6
- Plant-Microbe Interactions and Immunity 4
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- Lignin and Wood Chemistry 4
- Co-authors
- Francis W. M. R. Schwarze (19 shared papers)Guido Panzarasa (5 shared papers)Carolina Reyes (5 shared papers)Ingo Burgert (3 shared papers)Kunkun Tu (2 shared papers)Jianguo Sun (2 shared papers)Changsheng Wu (1 shared paper)Marco R. Binelli (1 shared paper)
- Journals
- Holzforschung (2 papers)World Journal of Microbiology and Biotechnology (2 papers)PLoS ONE (2 papers)Journal of Agricultural and Food Chemistry (1 paper)Forests (1 paper)
- Partner nations
- SwitzerlandIranSpain
In The Last Decade
Javier Ribera
26 papers receiving 862 citations
Peers
Comparison fields: 5 of 88
- Cell Biology 193
- Biomaterials 139
- Biotechnology 90
- Polymers and Plastics 138
- Biomedical Engineering 275
Countries citing papers authored by Javier Ribera
This map shows the geographic impact of Javier Ribera'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 Ribera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Ribera more than expected).
Fields of papers citing papers by Javier Ribera
This network shows the impact of papers produced by Javier Ribera. 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 Ribera. The network helps show where Javier Ribera may publish in the future.
Co-authors
The 25 scholars most cited alongside Javier Ribera, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 192 | |
| 2 | 2020 | 141 | |
| 3 | 2018 | 71 | |
| 4 | 2021 | 68 | |
| 5 | 2019 | 62 | |
| 6 | 2020 | 47 | |
| 7 | 2019 | 46 | |
| 8 | 2023 | 43 | |
| 9 | 2021 | 31 | |
| 10 | 2018 | 26 | |
| 11 | 2021 | 22 | |
| 12 | 2018 | 19 | |
| 13 | 2021 | 16 | |
| 14 | 2021 | 13 | |
| 15 | 2018 | 13 | |
| 16 | 2017 | 12 | |
| 17 | 2017 | 12 | |
| 18 | 2016 | 12 | |
| 19 | 2021 | 8 | |
| 20 | 2024 | 6 |
About Javier Ribera
Javier Ribera is a scholar working on Plant Science, Biomedical Engineering, Molecular Biology, Biomaterials and Cell Biology, having authored 26 papers that have together received 879 indexed citations. Recurring topics across this work include Enzyme-mediated dye degradation (6 papers), Advanced Cellulose Research Studies (5 papers), Plant-Microbe Interactions and Immunity (4 papers), Lignin and Wood Chemistry (4 papers), Fungal Biology and Applications (4 papers), Plant Pathogens and Fungal Diseases (3 papers), Forest Ecology and Biodiversity Studies (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Cell Biology (193 citations), Biomaterials (139 citations), Biotechnology (90 citations), Polymers and Plastics (138 citations) and Biomedical Engineering (275 citations). Javier Ribera has collaborated with scholars based in Switzerland, Iran and Spain. Frequent co-authors include Francis W. M. R. Schwarze, Guido Panzarasa, Carolina Reyes, Ingo Burgert, Kunkun Tu, Jianguo Sun, Changsheng Wu, Marco R. Binelli, Zhong Lin Wang and Hengyu Guo. Their work appears in journals such as Holzforschung, World Journal of Microbiology and Biotechnology, PLoS ONE, Journal of Agricultural and Food Chemistry and Forests.
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.