Laura Navarro-Cantó

437 total citations
10 papers, 106 citations indexed

About

Laura Navarro-Cantó is a scholar working on Pathology and Forensic Medicine, Neurology and Oncology. According to data from OpenAlex, Laura Navarro-Cantó has authored 10 papers receiving a total of 106 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pathology and Forensic Medicine, 4 papers in Neurology and 4 papers in Oncology. Recurrent topics in Laura Navarro-Cantó's work include Multiple Sclerosis Research Studies (6 papers), Polyomavirus and related diseases (4 papers) and Peripheral Neuropathies and Disorders (3 papers). Laura Navarro-Cantó is often cited by papers focused on Multiple Sclerosis Research Studies (6 papers), Polyomavirus and related diseases (4 papers) and Peripheral Neuropathies and Disorders (3 papers). Laura Navarro-Cantó collaborates with scholars based in Spain, Chile and Austria. Laura Navarro-Cantó's co-authors include Bonaventura Casanova, María Luisa Martínez‐Ginés, José Manuel García‐Domínguez, Francisco Coret, Jorge Mauriño, María Simó, Jordi Ballabriga, Nicolás Medrano, Isabel Boscá and Cynthia A. Honan and has published in prestigious journals such as Journal of Neurology, Multiple Sclerosis Journal and International Journal of Oral and Maxillofacial Surgery.

In The Last Decade

Laura Navarro-Cantó

8 papers receiving 105 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Laura Navarro-Cantó Spain 6 81 37 24 13 12 10 106
Cindy Gonzalez United States 8 122 1.5× 33 0.9× 45 1.9× 25 1.9× 9 0.8× 17 154
Kerstin Eichstädt Germany 3 98 1.2× 14 0.4× 32 1.3× 21 1.6× 8 0.7× 4 123
Megan Grosso United States 4 85 1.0× 31 0.8× 18 0.8× 16 1.2× 22 1.8× 5 107
Ardith Courtney United States 3 64 0.8× 10 0.3× 22 0.9× 18 1.4× 6 0.5× 3 86
D. Travaglini Italy 6 42 0.5× 13 0.4× 47 2.0× 22 1.7× 7 0.6× 8 121
Mihir Kakara United States 7 34 0.4× 19 0.5× 45 1.9× 4 0.3× 5 0.4× 16 118
Eleonóra Klímová Slovakia 6 60 0.7× 10 0.3× 15 0.6× 20 1.5× 4 0.3× 17 98
Valentina Torri Clerici Italy 9 118 1.5× 13 0.4× 31 1.3× 19 1.5× 3 0.3× 20 157
С А Сиверцева Russia 6 58 0.7× 27 0.7× 53 2.2× 9 0.7× 3 0.3× 38 113
Pierre Grammond Australia 4 89 1.1× 29 0.8× 34 1.4× 21 1.6× 13 1.1× 6 96

Countries citing papers authored by Laura Navarro-Cantó

Since Specialization
Citations

This map shows the geographic impact of Laura Navarro-Cantó'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 Laura Navarro-Cantó with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Navarro-Cantó more than expected).

Fields of papers citing papers by Laura Navarro-Cantó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Navarro-Cantó. 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 Laura Navarro-Cantó. The network helps show where Laura Navarro-Cantó may publish in the future.

Co-authorship network of co-authors of Laura Navarro-Cantó

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Navarro-Cantó. A scholar is included among the top collaborators of Laura Navarro-Cantó 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 Laura Navarro-Cantó. Laura Navarro-Cantó is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Bertomeu‐González, Vicente, et al.. (2025). When AI models take the exam: large language models vs medical students on multiple-choice course exams. Medical Education Online. 30(1). 2592430–2592430.
2.
Alcalá, Carmen, Francisco Gascón, Ángel Pérez Sempere, et al.. (2022). Effectiveness of rituximab vs. ocrelizumab for the treatment of primary progressive multiple sclerosis: a real-world observational study. Journal of Neurology. 269(7). 3676–3681. 12 indexed citations
3.
Landete, Lamberto, Francisco Pérez‐Miralles, Antonio Belenguer, et al.. (2021). Treatment of Multiple Sclerosis With Teriflunomide. Multicenter Study of Real Clinical Practice in the Valencian Community-Spain. Frontiers in Neurology. 12. 727586–727586. 5 indexed citations
4.
Mauriño, Jorge, María Luisa Martínez‐Ginés, José Manuel García‐Domínguez, et al.. (2020). Workplace difficulties, health-related quality of life, and perception of stigma from the perspective of patients with Multiple Sclerosis. Multiple Sclerosis and Related Disorders. 41. 102046–102046. 35 indexed citations
5.
Navarro-Cantó, Laura, et al.. (2019). Brain Atrophy in Relapsing Optic Neuritis Is Associated With Crion Phenotype. Frontiers in Neurology. 10. 1157–1157. 8 indexed citations
6.
Fissolo, Nicolás, Laura Cervera‐Carles, Alberto Lleó, et al.. (2018). Cerebrospinal fluid mitochondrial DNA levels in patients with multiple sclerosis. Multiple Sclerosis Journal. 25(11). 1535–1538. 9 indexed citations
7.
Navarro-Cantó, Laura, et al.. (2017). Síndrome de Miller Fisher tras tratamiento con certolizumab en una paciente con artritis reumatoide. Revista de Neurología. 65(6). 286–286. 1 indexed citations
8.
Navarro-Cantó, Laura, et al.. (2013). Morbidity of anterior iliac crest donor site following bone harvesting for alveolar bone graft. International Journal of Oral and Maxillofacial Surgery. 42(10). 1343–1343. 1 indexed citations
9.
Fariña, Rodrigo, et al.. (2013). Modified Le Fort III osteotomy for maxillomandibular distraction on a patient with progressive facial hemiatrophy syndrome. International Journal of Oral and Maxillofacial Surgery. 42(10). 1211–1211.
10.

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.

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2026