Tiny Masupe

1.1k citations
41 papers · 306 · h-index 11

Impact in

Papers in

Tiny Masupe

38 papers receiving 298 citations

Peers

Tiny Masupe
Comparison fields: 5 of 74
  • Modeling and Simulation 19
  • Emergency Medicine 29
  • Infectious Diseases 56
  • Health 24
  • Endocrinology, Diabetes and Metabolism 36
Replace Tewolde Wubayehu Woldearegay with:
Tewolde Wubayehu Woldearegay Ethiopia
Sasha Fahme Lebanon
Huiting Ma Canada
Adesola Zaidat Musa Nigeria
Gibson Kagaruki Tanzania
Mandisa Singata‐Madliki South Africa
Adino Tesfahun Tsegaye Ethiopia
Alemnesh H. Mirkuzie Ethiopia
Eden V. Wells United States
Issifou Yaya France
Tiny Masupe relative to Tewolde Wubayehu Woldearegay Ethiopia Tewolde Wubayehu Woldearegay's profile →
Citations per field
00.5×10×17×
Tewolde Wubayehu Woldearegay · 1×
Citations per year

Countries citing papers authored by Tiny Masupe

Since Specialization
Citations

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

Fields of papers citing papers by Tiny Masupe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201729
2 201929
3 201525
4 202222
5 201918
6 202216
7 202016
8 201614
9 202011
10 202110
11 201610
12 20199
13 20219
14 20197
15 20227
16 20137
17 20186
18 20156
19 20206
20 20205

About Tiny Masupe

Tiny Masupe is a scholar working on Infectious Diseases, Emergency Medicine, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health, having authored 41 papers that have together received 306 indexed citations. Recurring topics across this work include HIV-related health complications and treatments (6 papers), Blood Pressure and Hypertension Studies (4 papers), HIV/AIDS Research and Interventions (4 papers), Diabetes Management and Education (3 papers), COVID-19 epidemiological studies (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Salmonella and Campylobacter epidemiology (2 papers) and Vaccine Coverage and Hesitancy (2 papers). The work is most often cited by research in Modeling and Simulation (19 citations), Emergency Medicine (29 citations), Infectious Diseases (56 citations), Health (24 citations) and Endocrinology, Diabetes and Metabolism (36 citations). Tiny Masupe has collaborated with scholars based in Botswana, United States and United Kingdom. Frequent co-authors include Peter Delobelle, Thandi Puoane, Mooketsi Molefi, Lungiswa Tsolekile, Oathokwa Nkomazana, Billy Tsima, Shahin Lockman, Neo Tapela, Mgaywa Gilbert Mjungu Damas Magafu and Yohana Mashalla. Their work appears in journals such as PLoS ONE, BMJ Open, BMC Public Health, AIDS Research and Treatment and African Journal of Primary Health Care & Family Medicine.

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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