Ivana Cavello
- Plant Science top 10%
- Biotechnology top 2%
- Molecular Biology
- Food Science top 10%
- Biomedical Engineering
- Co-authors
- Sebastián CavalittoRoque Alberto HoursSilvana VeroGabriela GarmendiaN. Martı́nezGuillermo R. CastroJuan Carlos Contreras‐EsquivelNatalia Lorena Rojas
- Topics
- Enzyme Production and Characterization (19 papers)Microbial Metabolites in Food Biotechnology (8 papers)Enzyme-mediated dye degradation (7 papers)
In The Last Decade
Ivana Cavello
31 papers receiving 566 citations
Peers
Comparison fields: 5 of 81
- Plant Science 277
- Biotechnology 253
- Molecular Biology 233
- Food Science 90
- Biomedical Engineering 56
Countries citing papers authored by Ivana Cavello
This map shows the geographic impact of Ivana Cavello'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 Ivana Cavello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivana Cavello more than expected).
Fields of papers citing papers by Ivana Cavello
This network shows the impact of papers produced by Ivana Cavello. 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 Ivana Cavello. The network helps show where Ivana Cavello may publish in the future.
Co-authorship network of co-authors of Ivana Cavello
This figure shows the co-authorship network connecting the top 25 collaborators of Ivana Cavello. A scholar is included among the top collaborators of Ivana Cavello 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 Ivana Cavello. Ivana Cavello 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 | 4 | |
| 3 | 27 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 19 | |
| 7 | 20 | |
| 8 | 8 | |
| 9 | 41 | |
| 10 | 41 | |
| 11 | 24 | |
| 12 | 30 | |
| 13 | 6 | |
| 14 | 15 | |
| 15 | Optimization of keratinolytic protease production by Purpureocillium lilacinum LPS # 876 as a sustainable management of tannery hair waste | 3 |
| 16 | 42 | |
| 17 | 15 | |
| 18 | 16 | |
| 19 | 27 | |
| 20 | Alternative technologies for adding value to bovine hair waste | 10 |
About Ivana Cavello
Ivana Cavello is a scholar working on Biotechnology, Plant Science and Nutrition and Dietetics, having authored 32 papers that have together received 577 indexed citations. Recurring topics across this work include Enzyme Production and Characterization (19 papers), Microbial Metabolites in Food Biotechnology (8 papers) and Enzyme-mediated dye degradation (7 papers). The work is most often cited by research in Biotechnology (253 citations), Plant Science (277 citations) and Food Science (90 citations). Ivana Cavello has collaborated with scholars based in Argentina, Uruguay and Mexico. Frequent co-authors include Sebastián Cavalitto, Roque Alberto Hours, Silvana Vero, Gabriela Garmendia, N. Martı́nez, Guillermo R. Castro, Juan Carlos Contreras‐Esquivel, Natalia Lorena Rojas, Paula González-Pombo and Beatríz M. Brena. Their work appears in journals such as Bioresource Technology, International Journal of Biological Macromolecules and Colloids and Surfaces B Biointerfaces.
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.