Juan Casado‐Vela
- Molecular Biology top 10%
- Plant Science top 5%
- Immunology
- Cell Biology top 10%
- Spectroscopy top 10%
- Co-authors
- Susana Sellés‐MarchartRoque Bru‐MartínezFélix ElortzaJ. Ignacio CasalM. A. PedreñoEva Rodríguez‐SuárezSarai Belchí-NavarroIbón Iloro
- Topics
- Advanced Proteomics Techniques and Applications (10 papers)Advanced Biosensing Techniques and Applications (8 papers)Mass Spectrometry Techniques and Applications (5 papers)
- Partner nations
- SpainUnited StatesPortugal
In The Last Decade
Juan Casado‐Vela
47 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 122
- Molecular Biology 817
- Plant Science 407
- Immunology 126
- Cell Biology 125
- Spectroscopy 98
Countries citing papers authored by Juan Casado‐Vela
This map shows the geographic impact of Juan Casado‐Vela'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 Juan Casado‐Vela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Casado‐Vela more than expected).
Fields of papers citing papers by Juan Casado‐Vela
This network shows the impact of papers produced by Juan Casado‐Vela. 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 Juan Casado‐Vela. The network helps show where Juan Casado‐Vela may publish in the future.
Co-authorship network of co-authors of Juan Casado‐Vela
This figure shows the co-authorship network connecting the top 25 collaborators of Juan Casado‐Vela. A scholar is included among the top collaborators of Juan Casado‐Vela 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 Juan Casado‐Vela. Juan Casado‐Vela is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 21 | |
| 3 | 5 | |
| 4 | 18 | |
| 5 | Phosphoprotein enrichment from soluble and microsomal fractions of grapevine (vitis vinifera cv. gamay) cell culture using metal oxide affinity chromatography (MOAC) | 1 |
| 6 | 54 | |
| 7 | 25 | |
| 8 | 22 | |
| 9 | 1 | |
| 10 | 25 | |
| 11 | 28 | |
| 12 | 174 | |
| 13 | 1 | |
| 14 | 17 | |
| 15 | 52 | |
| 16 | 30 | |
| 17 | 71 | |
| 18 | 67 | |
| 19 | 60 | |
| 20 | 32 |
About Juan Casado‐Vela
Juan Casado‐Vela is a scholar working on Spectroscopy, Molecular Biology and Plant Science, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (10 papers), Advanced Biosensing Techniques and Applications (8 papers) and Mass Spectrometry Techniques and Applications (5 papers). The work is most often cited by research in Geriatrics and Gerontology (57 citations), Biochemistry (72 citations) and Molecular Biology (817 citations). Juan Casado‐Vela has collaborated with scholars based in Spain, United States and Portugal. Frequent co-authors include Susana Sellés‐Marchart, Roque Bru‐Martínez, Félix Elortza, J. Ignacio Casal, M. A. Pedreño, Eva Rodríguez‐Suárez, Sarai Belchí-Navarro, Ibón Iloro, Ignacio Gómez Lucas and Daniel Rico. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Genes & Development.
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.