Javier S. Perona
- Nutrition and Dietetics top 1%
- Molecular Biology top 10%
- Surgery top 5%
- Public Health, Environmental and Occupational Health top 5%
- Organic Chemistry top 5%
- Co-authors
- Valentina Ruíz-GutiérrezJosé M. CastellanoRosana Cabello-MorunoSara Ramos‐RomeroEmilio González‐JiménezRosalía Rodríguez‐RodríguezEmilio MonteroJacqueline Schmidt‐RioValle
- Topics
- Cholesterol and Lipid Metabolism (44 papers)Fatty Acid Research and Health (40 papers)Lipid metabolism and biosynthesis (13 papers)
- Cited by
- BiochemistryNutrition and Dietetics
- Journals
- SHILAP Revista de lepidopterologíaJournal of Agricultural and Food ChemistryInternational Journal of Molecular Sciences
- Partner nations
- SpainUnited KingdomColombia
In The Last Decade
Javier S. Perona
94 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Nutrition and Dietetics 748
- Molecular Biology 707
- Surgery 687
- Public Health, Environmental and Occupational Health 477
- Organic Chemistry 454
Countries citing papers authored by Javier S. Perona
This map shows the geographic impact of Javier S. Perona'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 S. Perona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier S. Perona more than expected).
Fields of papers citing papers by Javier S. Perona
This network shows the impact of papers produced by Javier S. Perona. 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 S. Perona. The network helps show where Javier S. Perona may publish in the future.
Co-authorship network of co-authors of Javier S. Perona
This figure shows the co-authorship network connecting the top 25 collaborators of Javier S. Perona. A scholar is included among the top collaborators of Javier S. Perona 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 S. Perona. Javier S. Perona is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 12 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | Oleanolic Acid: Extraction, Characterization and Biological Activitybreakdown → | 194 |
| 9 | 4 | |
| 10 | 17 | |
| 11 | 8 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 42 | |
| 15 | 22 | |
| 16 | 66 | |
| 17 | 17 | |
| 18 | 13 | |
| 19 | 7 | |
| 20 | 5 |
About Javier S. Perona
Javier S. Perona is a scholar working on Nutrition and Dietetics, Biochemistry and Biochemistry, having authored 95 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (44 papers), Fatty Acid Research and Health (40 papers) and Lipid metabolism and biosynthesis (13 papers). The work is most often cited by research in Biochemistry (367 citations), Nutrition and Dietetics (748 citations) and Biochemistry (217 citations). Javier S. Perona has collaborated with scholars based in Spain, United Kingdom and Colombia. Frequent co-authors include Valentina Ruíz-Gutiérrez, José M. Castellano, Rosana Cabello-Moruno, Sara Ramos‐Romero, Emilio González‐Jiménez, Rosalía Rodríguez‐Rodríguez, Emilio Montero, Jacqueline Schmidt‐RioValle, María Herrera and Pablo V. Escribá. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and International Journal of Molecular Sciences.
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.