Roos E. Barth

579 citations
22 papers · 363 indexed · h-index 11

Impact in

Papers in

Roos E. Barth

20 papers receiving 359 citations

Peers

Roos E. Barth
Comparison fields: 5 of 56
  • Virology 186
  • Emergency Medicine 161
  • Infectious Diseases 231
  • Epidemiology 78
  • Cardiology and Cardiovascular Medicine 43
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Esther Francia Spain
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Kerunne S. Ketlogetswe United States
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Citations per year

Countries citing papers authored by Roos E. Barth

Since Specialization
Citations

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

Fields of papers citing papers by Roos E. Barth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roos E. Barth. 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 Roos E. Barth. The network helps show where Roos E. Barth may publish in the future.

Co-authors

The 25 scholars most cited alongside Roos E. Barth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Roos E. Barth Line = papers co-authored together Roos E. Barth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201686
2 200852
3 201145
4 200843
5 201727
6 201719
7 201915
8 201914
9 201714
10 202111
11 201211
12 201810
13 20214
14 20214
15 20242
16 20222
17 20241
18
Accurate prediction of response to HIV therapy without a genotype: a potential tool for therapy optimization in resource-limited settings
20131
19 20201
20
Modelling response to antiretroviral therapy without a genotype as a clinical tool for resource-limited settings
20111

About Roos E. Barth

Roos E. Barth is a scholar working on Infectious Diseases, Emergency Medicine, Epidemiology, Virology and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 363 indexed citations. Recurring topics across this work include HIV-related health complications and treatments (12 papers), HIV/AIDS Research and Interventions (10 papers), HIV Research and Treatment (8 papers), HIV/AIDS drug development and treatment (7 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Cardiovascular Disease and Adiposity (3 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). The work is most often cited by research in Virology (186 citations), Emergency Medicine (161 citations), Infectious Diseases (231 citations), Epidemiology (78 citations) and Cardiology and Cardiovascular Medicine (43 citations). Roos E. Barth has collaborated with scholars based in Netherlands, South Africa and United States. Frequent co-authors include Kerstin Klipstein‐Grobusch, Diederick E. Grobbee, Alinda G. Vos, Andy I. M. Hoepelman, Hugo A. Tempelman, Nikmah S. Idris, Annemarie M. J. Wensing, Rob Schuurman, Sibyl P. M. Geelen and François Venter. Their work appears in journals such as PLoS ONE, Retrovirology, Antiviral Therapy, JAIDS Journal of Acquired Immune Deficiency Syndromes and Scientific Reports.

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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