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.
Efficacy and safety of budesonide/formoterol in the management of chronic obstructive pulmonary disease
2003683 citationsW Szafrański, Alberto Cukier et al.European Respiratory Journalprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Guillermo Menga
Since
Specialization
Citations
This map shows the geographic impact of Guillermo Menga'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 Guillermo Menga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillermo Menga more than expected).
This network shows the impact of papers produced by Guillermo Menga. 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 Guillermo Menga. The network helps show where Guillermo Menga may publish in the future.
Co-authorship network of co-authors of Guillermo Menga
This figure shows the co-authorship network connecting the top 25 collaborators of Guillermo Menga.
A scholar is included among the top collaborators of Guillermo Menga 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 Guillermo Menga. Guillermo Menga is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Menga, Guillermo, et al.. (2016). Evaluación del uso de corticoides inhalados en altas dosis para el tratamiento de crisis asmática. 16(1). 4–10.
5.
Menga, Guillermo, Davide Lombardi, Pablo Sáez Scherbovsky, et al.. (2015). Recomendaciones prácticas para el manejo de la crisis asmática en pacientes adultos. Redalyc (Universidad Autónoma del Estado de México). 15(4). 325–335.
Menga, Guillermo, Marc Miravitlles, Ignacio Blanco, et al.. (2014). Normativas de diagnóstico y tratamiento del déficit de alfa-1 antitripsina Asociación Argentina de Medicina Respiratoria. Redalyc (Universidad Autónoma del Estado de México). 14(1). 28–46.1 indexed citations
8.
Menga, Guillermo, et al.. (2014). Timoma y miastenia gravis: algunas reflexiones. Redalyc (Universidad Autónoma del Estado de México). 14(1). 87–89.
9.
Menga, Guillermo, Marc Miravitlles, Ignacio Blanco, et al.. (2014). Normativas de diagnóstico y tratamiento del déficit de alfa-1 antitripsina. 14(1). 28–46.6 indexed citations
Catoggio, Luís J., Mirta Díez, Liliana E. Favaloro, et al.. (2011). Consenso para el Diagnóstico y Tratamiento de la Hipertensión Arterial Pulmonar Sociedad Argentina de Cardiología - SAC Asociación Argentina de Medicina Respiratoria - AAMR Sociedad Argentina de Reumatología - SAR.1 indexed citations
Menga, Guillermo, et al.. (2005). [Argentine consensus of non-invasive ventilation].. PubMed. 65(5). 437–57.
18.
Szafrański, W, Alberto Cukier, Guillermo Menga, et al.. (2003). Efficacy and safety of budesonide/formoterol in the management of chronic obstructive pulmonary disease. European Respiratory Journal. 21(1). 74–81.683 indexed citations breakdown →
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.