Clara de Andrés
- Pathology and Forensic Medicine top 2%
- Immunology top 5%
- Neurology top 2%
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Co-authors
- Silvia Sánchez‐RamónCarol AristimuñoEduardo Fernández‐CruzS Giménez-RoldánBárbara AlonsoM L Martínez-GinésMargarita Rodríguez‐MahouRoseta Teijeiro
- Topics
- Multiple Sclerosis Research Studies (32 papers)Peripheral Neuropathies and Disorders (14 papers)Reproductive System and Pregnancy (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEInternational Journal of Molecular Sciences
- Partner nations
- SpainFranceSwitzerland
In The Last Decade
Clara de Andrés
60 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 92
- Pathology and Forensic Medicine 575
- Immunology 502
- Neurology 481
- Cellular and Molecular Neuroscience 212
- Molecular Biology 182
Countries citing papers authored by Clara de Andrés
This map shows the geographic impact of Clara de Andrés'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 Clara de Andrés with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clara de Andrés more than expected).
Fields of papers citing papers by Clara de Andrés
This network shows the impact of papers produced by Clara de Andrés. 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 Clara de Andrés. The network helps show where Clara de Andrés may publish in the future.
Co-authorship network of co-authors of Clara de Andrés
This figure shows the co-authorship network connecting the top 25 collaborators of Clara de Andrés. A scholar is included among the top collaborators of Clara de Andrés 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 Clara de Andrés. Clara de Andrés is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 9 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 43 | |
| 6 | 22 | |
| 7 | 6 | |
| 8 | 30 | |
| 9 | 10 | |
| 10 | 2 | |
| 11 | 42 | |
| 12 | 37 | |
| 13 | 32 | |
| 14 | 21 | |
| 15 | 10 | |
| 16 | 107 | |
| 17 | 57 | |
| 18 | 27 | |
| 19 | 273 | |
| 20 | 1 |
About Clara de Andrés
Clara de Andrés is a scholar working on Pathology and Forensic Medicine, Neurology and Immunology, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (32 papers), Peripheral Neuropathies and Disorders (14 papers) and Reproductive System and Pregnancy (9 papers). The work is most often cited by research in Pathology and Forensic Medicine (575 citations), Neurology (481 citations) and Immunology (502 citations). Clara de Andrés has collaborated with scholars based in Spain, France and Switzerland. Frequent co-authors include Silvia Sánchez‐Ramón, Carol Aristimuño, Eduardo Fernández‐Cruz, S Giménez-Roldán, Bárbara Alonso, M L Martínez-Ginés, Margarita Rodríguez‐Mahou, Roseta Teijeiro, Albert Saiz and Juan P. Maestre. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.