Rawlings Datir

5.8k citations
13 papers · 228 · h-index 8

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • HIV/AIDS drug development and treatment
    • Viral gastroenteritis research and epidemiology
    • HIV/AIDS Research and Interventions
    • HIV Research and Treatment

Papers in

    • HIV/AIDS drug development and treatment 6
    • SARS-CoV-2 and COVID-19 Research 4
    • HIV/AIDS Research and Interventions 2
    • SARS-CoV-2 detection and testing 2
    • HIV Research and Treatment 3

Rawlings Datir

13 papers receiving 223 citations

Peers

Rawlings Datir
Comparison fields: 5 of 47
  • Infectious Diseases 197
  • Virology 26
  • Animal Science and Zoology 30
  • Modeling and Simulation 9
  • Immunology 15
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Rawlings Datir relative to Mehdi Benlarbi Canada Mehdi Benlarbi's profile →
Citations per field
00.5×
Mehdi Benlarbi · 1×
Citations per year

Countries citing papers authored by Rawlings Datir

Since Specialization
Citations

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

Fields of papers citing papers by Rawlings Datir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rawlings Datir, 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 Rawlings Datir Line = papers co-authored together Rawlings Datir links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 202175
2 202163
3 202026
4 202015
5 202111
6 20209
7 20199
8 20167
9 20216
10
Disengagement from HIV care and failure of second-line therapy in Nigeria: a retrospective cohort study, 2005-2017
20223
11 20192
12 20171
13 20141

About Rawlings Datir

Rawlings Datir is a scholar working on Infectious Diseases, Virology, Cardiology and Cardiovascular Medicine, Animal Science and Zoology and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 228 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers), HIV Research and Treatment (3 papers), HIV/AIDS Research and Interventions (2 papers), SARS-CoV-2 detection and testing (2 papers), Immunotherapy and Immune Responses (1 paper), HIV-related health complications and treatments (1 paper) and Pharmaceutical Economics and Policy (1 paper). The work is most often cited by research in Infectious Diseases (197 citations), Virology (26 citations), Animal Science and Zoology (30 citations), Modeling and Simulation (9 citations) and Immunology (15 citations). Rawlings Datir has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Ravindra K. Gupta, Steven A. Kemp, Alessandro M. Carabelli, Bo Meng, Spyros Lytras, William T. Harvey, Dami A. Collier, Isabella A.T.M. Ferreira, Leo C. James and Julia C. Kenyon. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, The Journal of Infectious Diseases, Journal of Clinical Microbiology, JAIDS Journal of Acquired Immune Deficiency Syndromes and mBio.

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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