Dona Benadof

34 total papers · 690 total citations
19 papers, 254 citations indexed

About

Dona Benadof is a scholar working on Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Dona Benadof has authored 19 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 7 papers in Epidemiology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Dona Benadof's work include Antimicrobial Resistance in Staphylococcus (5 papers), Infective Endocarditis Diagnosis and Management (3 papers) and Bacterial Identification and Susceptibility Testing (3 papers). Dona Benadof is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (5 papers), Infective Endocarditis Diagnosis and Management (3 papers) and Bacterial Identification and Susceptibility Testing (3 papers). Dona Benadof collaborates with scholars based in Chile, United States and India. Dona Benadof's co-authors include María S Navarrete, Bettina von Dessauer, Michael G. Schmidt, Marı́a Elena Santolaya, Paulette Legarraga, Cecilia Tapia, Pamela Rojas, Ricardo Rabagliati, Claudia P. Cortés and Luis Thompson and has published in prestigious journals such as PLoS ONE, Journal of Allergy and Clinical Immunology and The Pediatric Infectious Disease Journal.

In The Last Decade

Dona Benadof

16 papers receiving 247 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dona Benadof 147 58 46 36 31 19 254
Florence Le Gallou 92 0.6× 51 0.9× 37 0.8× 21 0.6× 35 1.1× 22 314
William Ciccotelli 159 1.1× 108 1.9× 26 0.6× 21 0.6× 17 0.5× 12 313
Y. Drabu 120 0.8× 40 0.7× 53 1.2× 21 0.6× 29 0.9× 22 259
Оlga U. Stetsiouk 69 0.5× 86 1.5× 19 0.4× 17 0.5× 38 1.2× 15 293
Maniya Arshadi 143 1.0× 40 0.7× 25 0.5× 20 0.6× 43 1.4× 16 314
D.W. Hill 160 1.1× 49 0.8× 60 1.3× 16 0.4× 27 0.9× 9 315
Hsin-Lan Lin 82 0.6× 70 1.2× 14 0.3× 28 0.8× 15 0.5× 9 281
Ji Yun Bae 59 0.4× 66 1.1× 23 0.5× 18 0.5× 15 0.5× 27 261
Grazia Angela Morandotti 104 0.7× 99 1.7× 72 1.6× 18 0.5× 44 1.4× 18 284
Adriana Jiménez 98 0.7× 53 0.9× 47 1.0× 21 0.6× 34 1.1× 27 275

Countries citing papers authored by Dona Benadof

Since Specialization
Citations

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

Fields of papers citing papers by Dona Benadof

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dona Benadof. 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 Dona Benadof. The network helps show where Dona Benadof may publish in the future.

Co-authorship network of co-authors of Dona Benadof

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

All Works

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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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