Daniel Matemo

1.3k citations
66 papers · 871 · h-index 17

Impact in

    • HIV/AIDS Research and Interventions
    • Tuberculosis Research and Epidemiology
    • Reproductive tract infections research

Papers in

Daniel Matemo

60 papers receiving 863 citations

Peers

Daniel Matemo
Comparison fields: 5 of 77
  • Infectious Diseases 477
  • Microbiology 124
  • General Health Professions 490
  • Epidemiology 344
  • Virology 34
Replace Rachael Bonawitz with:
Rachael Bonawitz United States
Peter Kyambadde Uganda
Darlene Taylor Canada
Davies Kimanga Kenya
Nancy Van Devanter United States
Jacqueline Uriyo Tanzania
Leila Dal Santo United States
Theresa Hoke United States
Nyaradzo Mgodi United States
Adriane Martin Hilber Switzerland
Daniel Matemo relative to Rachael Bonawitz United States Rachael Bonawitz's profile →
Citations per field
00.5×5.9×
Rachael Bonawitz · 1×
Citations per year

Countries citing papers authored by Daniel Matemo

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Matemo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201674
2 201570
3 201748
4 201846
5 201945
6 201740
7 201538
8 201838
9 201935
10 202129
11 201929
12 201628
13 201927
14 201326
15 201725
16 201823
17 201517
18 201815
19 202114
20 201813

About Daniel Matemo

Daniel Matemo is a scholar working on Infectious Diseases, General Health Professions, Epidemiology, Pediatrics, Perinatology and Child Health and Surgery, having authored 66 papers that have together received 871 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (33 papers), Adolescent Sexual and Reproductive Health (28 papers), Tuberculosis Research and Epidemiology (17 papers), Pneumocystis jirovecii pneumonia detection and treatment (11 papers), Global Maternal and Child Health (11 papers), Mobile Health and mHealth Applications (11 papers), Reproductive tract infections research (10 papers) and HIV, Drug Use, Sexual Risk (9 papers). The work is most often cited by research in Infectious Diseases (477 citations), Microbiology (124 citations), General Health Professions (490 citations), Epidemiology (344 citations) and Virology (34 citations). Daniel Matemo has collaborated with scholars based in United States, Kenya and South Africa. Frequent co-authors include John Kinuthia, Grace John‐Stewart, Alison L. Drake, Barbra A. Richardson, Jennifer A. Unger, R. Scott McClelland, Lusi Osborn, Keshet Ronen, Jennifer B. Unger and Jillian Pintye. Their work appears in journals such as JAIDS Journal of Acquired Immune Deficiency Syndromes, PLoS ONE, Sexually Transmitted Infections, AIDS and Clinical Infectious Diseases.

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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