Ronelle Moodliar

1.1k citations
7 papers · 403 indexed · 2 hit papers · h-index 4
Topics
Tuberculosis Research and Epidemiology (6 papers)Infectious Diseases and Tuberculosis (2 papers)Cardiac electrophysiology and arrhythmias (1 paper)

In The Last Decade

Ronelle Moodliar

6 papers receiving 393 citations

Hit Papers

A Trial of a Shorter Regimen for Rifampin-Resistant Tuber...20192026202120232019202250100150200

Peers

Ronelle Moodliar
Comparison fields: 5 of 55
  • Infectious Diseases 362
  • Epidemiology 258
  • Surgery 127
  • Molecular Biology 40
  • Economics and Econometrics 22
Replace Bern-Thomas Nyang’wa with:
Bern-Thomas Nyang’wa United Kingdom
Daniel Meressa Ethiopia
Almari Conradie United States
Melissa Bauer Canada
Erica Egizi United States
Elisa H. Ignatius United States
Elize Pietersen South Africa
Nargiza Parpieva Uzbekistan
Epifanio Sánchez United States
Xiexiu Wang China
Ronelle Moodliar relative to Bern-Thomas Nyang’wa United Kingdom Bern-Thomas Nyang’wa's profile →
Citations per field
00.5×8.2×
Bern-Thomas Nyang’wa · 1×
Citations per year

Countries citing papers authored by Ronelle Moodliar

Since Specialization
Citations

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

Fields of papers citing papers by Ronelle Moodliar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronelle Moodliar

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 2
2 0
3 3
4
A 24-Week, All-Oral Regimen for Rifampin-Resistant Tuberculosisbreakdown →
154
5 14
6 8
7
A Trial of a Shorter Regimen for Rifampin-Resistant Tuberculosisbreakdown →
222

About Ronelle Moodliar

Ronelle Moodliar is a scholar working on Infectious Diseases, Pediatrics, Perinatology and Child Health and Epidemiology, having authored 7 papers that have together received 403 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (6 papers), Infectious Diseases and Tuberculosis (2 papers) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Infectious Diseases (362 citations), Epidemiology (258 citations) and Molecular Medicine (19 citations). Ronelle Moodliar has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Nosipho Ngubane, Karen Sanders, Chen‐Yuan Chiang, Armand Van Deun, Iqbal Master, Daniel Meressa, I. D. Rusen, Gabriela Torrea, Andrew Nunn and Sarah Meredith. Their work appears in journals such as New England Journal of Medicine, Antimicrobial Agents and Chemotherapy and BMJ Open.

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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