Jimmy Volmink

18.3k citations
141 papers · 9.2k indexed · 4 hit papers · h-index 50

Jimmy Volmink

139 papers receiving 8.8k citations

Hit Papers

Non-communicable diseases in sub-Saharan Africa: what we ...4472007202620132019250500750

Peers

Jimmy Volmink
Comparison fields: 5 of 195
  • Infectious Diseases 2.7k
  • Family Practice 235
  • General Health Professions 2.0k
  • Public Health, Environmental and Occupational Health 2.0k
  • Epidemiology 2.2k
Replace Jeroan J. Allison with:
Jeroan J. Allison United States
Michael Drummond United Kingdom
Christopher Butler United Kingdom
Steven M. Teutsch United States
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Citations per field
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Citations per year

Countries citing papers authored by Jimmy Volmink

Since Specialization
Citations

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

Fields of papers citing papers by Jimmy Volmink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202015
2 201814
3 201837
4 20189
5 2015169
6 201517
7 2014182
8
Cochrane and capacity building in low- and middle-income countries: where are we at? [Editorial]
20130
9 20135
10 201352
11 2009151
12
The South African Cochrane Centre - helping practitioners to identify and apply best evidence in practice
20081
13
Conducting a meta-ethnography of qualitative literature: Lessons learntbreakdown →
2008782
14 2008131
15
Prioritising between direct observation of therapy and case-finding interventions for Tuberculosis: Use of Population Impact Measures.
20064
16
What works at enhancing health equity? Cochrane and Campbell collaboration evidence base
20051
17
HIV: Mother-to-Child Transmission
20043
18 200336
19 200056
20 1996154

About Jimmy Volmink

Jimmy Volmink is a scholar working on Infectious Diseases, Family Practice and Statistics, Probability and Uncertainty, having authored 141 papers that have together received 9.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (17 papers), Pneumocystis jirovecii pneumonia detection and treatment (14 papers), Global Public Health Policies and Epidemiology (13 papers), HIV/AIDS Research and Interventions (13 papers), Primary Care and Health Outcomes (12 papers), Global Maternal and Child Health (11 papers), Health Sciences Research and Education (11 papers) and Health Policy Implementation Science (10 papers). The work is most often cited by research in Infectious Diseases (2.7k citations), Family Practice (235 citations) and General Health Professions (2.0k citations). Jimmy Volmink has collaborated with scholars based in South Africa, United Kingdom and United States. Frequent co-authors include Simon Lewin, Mark E. Engel, Helen Smith, Atle Fretheim, Nandi Siegfried, Bongani M. Mayosi, Salla Munro, Paul Garner, Salla Atkins and Charles Shey Wiysonge.

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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