Carmen Alvarez‐Domínguez
- Molecular Biology top 10%
- Cell Biology top 5%
- Immunology top 5%
- Biotechnology top 1%
- Food Science top 5%
- Co-authors
- Philip D. StahlEugenio Carrasco‐MarínFrancisco Leyva‐CobiánWalter BerónRicardo Calderón-GonzálezJ A Vázquez-BolandRichard RobertsM. Alejandro Barbieri
- Topics
- Listeria monocytogenes in Food Safety (19 papers)Immunotherapy and Immune Responses (18 papers)vaccines and immunoinformatics approaches (9 papers)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Carmen Alvarez‐Domínguez
63 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 779
- Cell Biology 445
- Immunology 444
- Biotechnology 340
- Food Science 198
Countries citing papers authored by Carmen Alvarez‐Domínguez
This map shows the geographic impact of Carmen Alvarez‐Domínguez'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 Carmen Alvarez‐Domínguez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Alvarez‐Domínguez more than expected).
Fields of papers citing papers by Carmen Alvarez‐Domínguez
This network shows the impact of papers produced by Carmen Alvarez‐Domínguez. 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 Carmen Alvarez‐Domínguez. The network helps show where Carmen Alvarez‐Domínguez may publish in the future.
Co-authorship network of co-authors of Carmen Alvarez‐Domínguez
This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Alvarez‐Domínguez. A scholar is included among the top collaborators of Carmen Alvarez‐Domínguez 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 Carmen Alvarez‐Domínguez. Carmen Alvarez‐Domínguez 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 | 9 | |
| 3 | 9 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 15 | |
| 8 | 16 | |
| 9 | 9 | |
| 10 | 14 | |
| 11 | 65 | |
| 12 | 9 | |
| 13 | 20 | |
| 14 | 23 | |
| 15 | 60 | |
| 16 | Histeroscopia en hiperplasia y cáncer de endometrio | 1 |
| 17 | 45 | |
| 18 | 42 | |
| 19 | 19 | |
| 20 | 11 |
About Carmen Alvarez‐Domínguez
Carmen Alvarez‐Domínguez is a scholar working on Biotechnology, Immunology and Endocrinology, having authored 64 papers that have together received 1.8k indexed citations. Recurring topics across this work include Listeria monocytogenes in Food Safety (19 papers), Immunotherapy and Immune Responses (18 papers) and vaccines and immunoinformatics approaches (9 papers). The work is most often cited by research in Biotechnology (340 citations), Endocrinology (168 citations) and Cell Biology (445 citations). Carmen Alvarez‐Domínguez has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Philip D. Stahl, Eugenio Carrasco‐Marín, Francisco Leyva‐Cobián, Walter Berón, Ricardo Calderón-González, J A Vázquez-Boland, Richard Roberts, M. Alejandro Barbieri, Alan Wells and Juan M. Vieites. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and The Journal of Immunology.
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.