Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Electron cyclotron emission and absorption in fusion plasmas
This map shows the geographic impact of R. Cano'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 R. Cano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Cano more than expected).
This network shows the impact of papers produced by R. Cano. 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 R. Cano. The network helps show where R. Cano may publish in the future.
Co-authorship network of co-authors of R. Cano
This figure shows the co-authorship network connecting the top 25 collaborators of R. Cano.
A scholar is included among the top collaborators of R. Cano 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 R. Cano. R. Cano is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Fernández-Martínez, Beatriz, et al.. (2019). La leishmaniasis en España: evolución de los casos notificados a La Red Nacional de Vigilancia Epidemiológica desde 2005 a 2017 y resultados de la vigilancia de 2014 a 2017. 27(2). 15–27.13 indexed citations
Boix, Raquel, et al.. (2016). Una visión general de la hepatitis B.. 24(4). 48–50.3 indexed citations
8.
Varela, Carmen, et al.. (2015). Brotes de enfermedades transmitidas por alimentos. España, 2008-2011 (excluye brotes hídricos).... Boletín epidemiológico semanal. 22(11). 130–136.6 indexed citations
9.
Cano, R., et al.. (2012). Brotes de intoxicación alimentaria por biotoxinas marinas debidos al consumo de pescado y marisco en España. 2003-2006. Boletín epidemiológico semanal. 15(12). 133–136.2 indexed citations
10.
Jiménez‐Jorge, Silvia, et al.. (2012). Enfermedad meningocócica en España. Resultados de la vigilancia epidemiológica de la temporada 2004-2005. Boletín epidemiológico semanal. 14(2). 13–16.
11.
Díaz, Asunción, Mercedes Díez, & R. Cano. (2012). Vigilancia epidemiológica de las infecciones de transmisión sexual, 1995-2010. 20(7). 63–69.24 indexed citations
12.
Cano, R., et al.. (2010). Epidemiological surveillance of hepatitis B in Spain, 1997-2008.. Boletín epidemiológico semanal. 18(18). 169–174.1 indexed citations
13.
Cano, R., et al.. (2008). ENFERMEDAD MENINGOCÓCICA EN ESPAÑA. ANÁLISIS DE LA TEMPORADA 2009-2010. Boletín epidemiológico semanal. 15(15). 169–172.8 indexed citations
14.
Cano, R., et al.. (2006). Vigilancia epidemiológica de legionelosis. SHILAP Revista de lepidopterología. 6(1). 7–10.1 indexed citations
Cano, R., et al.. (2002). Legionelosis relacionada con viajes a España. Procedimientos y resultados de la Red de Vigilancia de Infecciones por Legionella(EWGLINET). 10(20). 209–212.
17.
Cano, R., et al.. (1999). Infecciones por rotavirus notificadas al Sistema de Información Microbiológica. Temporada 1999-2000. 7(19). 198–198.1 indexed citations
18.
Cano, R., et al.. (1999). Enfermedad meningocócica. Situación en la temporada 1998-1999.. 7(21). 221–224.2 indexed citations
19.
Cano, R., et al.. (1999). Brotes notificados de legionelosis en España. Años 1989 a 1998. 7(7). 69–71.2 indexed citations
20.
Usera, M. A., et al.. (1998). Síndrome hemolítico urémico y diagnóstico de la infección por Escherichia coli enterohemorrágica. Medicina Clínica. 110(2).
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.