Daniela Garone

71 total papers · 2.3k total citations
53 papers, 1.4k citations indexed

About

Daniela Garone is a scholar working on Infectious Diseases, Virology and Epidemiology. According to data from OpenAlex, Daniela Garone has authored 53 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Infectious Diseases, 24 papers in Virology and 13 papers in Epidemiology. Recurrent topics in Daniela Garone's work include HIV/AIDS Research and Interventions (40 papers), HIV Research and Treatment (24 papers) and HIV/AIDS drug development and treatment (12 papers). Daniela Garone is often cited by papers focused on HIV/AIDS Research and Interventions (40 papers), HIV Research and Treatment (24 papers) and HIV/AIDS drug development and treatment (12 papers). Daniela Garone collaborates with scholars based in South Africa, Switzerland and United States. Daniela Garone's co-authors include Matthias Egger, Andrew Boulle, Hans Prozesky, Robin Wood, Janet Giddy, Morna Cornell, Christopher J. Hoffmann, Michael Schomaker, Leigh F. Johnson and Olivia Keiser and has published in prestigious journals such as PLoS ONE, PEDIATRICS and PLoS Medicine.

In The Last Decade

Daniela Garone

51 papers receiving 1.4k citations

Hit Papers

Life Expectancies of Sout... 2013 2026 2017 2021 2013 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Daniela Garone 1.1k 499 484 303 279 53 1.4k
Ahmadou Alioum 757 0.7× 359 0.7× 445 0.9× 275 0.9× 164 0.6× 42 1.5k
Bingxia Wang 1.0k 0.9× 435 0.9× 675 1.4× 193 0.6× 101 0.4× 56 1.6k
Mwebesa Bwana 1.4k 1.3× 476 1.0× 772 1.6× 551 1.8× 166 0.6× 59 1.8k
Ralf Weigel 1.5k 1.3× 754 1.5× 583 1.2× 214 0.7× 271 1.0× 54 1.7k
Kenneth L. Dominguez 850 0.8× 257 0.5× 689 1.4× 312 1.0× 224 0.8× 38 1.7k
Lerato Mohapi 1.2k 1.1× 467 0.9× 681 1.4× 218 0.7× 159 0.6× 35 1.5k
John Idoko 764 0.7× 261 0.5× 621 1.3× 219 0.7× 138 0.5× 78 1.3k
Catherine C. McGowan 1.1k 1.0× 391 0.8× 729 1.5× 220 0.7× 323 1.2× 84 1.7k
Howard Libman 1.1k 1.0× 324 0.6× 852 1.8× 261 0.9× 359 1.3× 56 1.8k
Nagalingeswaran Kumarasamy 1.3k 1.2× 717 1.4× 610 1.3× 180 0.6× 286 1.0× 97 1.8k

Countries citing papers authored by Daniela Garone

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Garone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Garone

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Garone. A scholar is included among the top collaborators of Daniela Garone 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 Daniela Garone. Daniela Garone 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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