Carolina Tafalla
- Immunology top 0.2%
- Aquatic Science top 0.2%
- Molecular Biology
- Animal Science and Zoology top 1%
- Ecology top 5%
- Co-authors
- Beatriz NovoaAitor G. GranjaAntónio FiguerasJulio CollBeatriz AbósRosario CastroAlberto CuestaAlı́ Alejo
- Topics
- Aquaculture disease management and microbiota (148 papers)Invertebrate Immune Response Mechanisms (52 papers)Immune Cell Function and Interaction (36 papers)
- Partner nations
- SpainUnited KingdomNorway
In The Last Decade
Carolina Tafalla
166 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 105
- Immunology 4.5k
- Aquatic Science 1.2k
- Molecular Biology 594
- Animal Science and Zoology 587
- Ecology 453
Countries citing papers authored by Carolina Tafalla
This map shows the geographic impact of Carolina Tafalla'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 Carolina Tafalla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carolina Tafalla more than expected).
Fields of papers citing papers by Carolina Tafalla
This network shows the impact of papers produced by Carolina Tafalla. 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 Carolina Tafalla. The network helps show where Carolina Tafalla may publish in the future.
Co-authorship network of co-authors of Carolina Tafalla
This figure shows the co-authorship network connecting the top 25 collaborators of Carolina Tafalla. A scholar is included among the top collaborators of Carolina Tafalla 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 Carolina Tafalla. Carolina Tafalla 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 38 | |
| 15 | 48 | |
| 16 | 23 | |
| 17 | 249 | |
| 18 | Futuro de las vacunas ADN frente a virus en Acuicultura | 2 |
| 19 | Histological, serological and virulence studies on rainbow trout experimentally infected with recombinant infectious hematopoietic necrosis viruses | 17 |
| 20 | 22 |
About Carolina Tafalla
Carolina Tafalla is a scholar working on Immunology, Aquatic Science and Animal Science and Zoology, having authored 174 papers that have together received 5.1k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (148 papers), Invertebrate Immune Response Mechanisms (52 papers) and Immune Cell Function and Interaction (36 papers). The work is most often cited by research in Immunology (4.5k citations), Aquatic Science (1.2k citations) and Microbiology (362 citations). Carolina Tafalla has collaborated with scholars based in Spain, United Kingdom and Norway. Frequent co-authors include Beatriz Novoa, Aitor G. Granja, António Figueras, Julio Coll, Beatriz Abós, Rosario Castro, Alberto Cuesta, Alı́ Alejo, Patricia Díaz‐Rosales and Christopher J. Secombes. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Journal of Virology.
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.