Method Kazaura

41 papers receiving 541 citations

Peers

Method Kazaura
Comparison fields: 5 of 85
  • Applied Microbiology and Biotechnology 30
  • Urology 83
  • Pediatrics, Perinatology and Child Health 159
  • General Health Professions 177
  • Infectious Diseases 120
Replace Wilma van den Boogaard with:
Wilma van den Boogaard Luxembourg
Kathryn Hughes United Kingdom
Barbara Greengold United States
Jason Mann United States
Othman Kakaire Uganda
Oladapo Shittu Nigeria
Adrian Gardner United States
Ramón Escuriet Spain
Amie Wilson United Kingdom
Rose Laisser Tanzania
Method Kazaura relative to Wilma van den Boogaard Luxembourg Wilma van den Boogaard's profile →
Citations per field
00.5×4.3×
Wilma van den Boogaard · 1×
Citations per year

Countries citing papers authored by Method Kazaura

Since Specialization
Citations

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

Fields of papers citing papers by Method Kazaura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200492
2 200956
3 200448
4 200231
5 200729
6 202029
7 200728
8 200026
9 201625
10 202121
11 200818
12 201617
13 201716
14
Levels trends and risk for early neonatal mortality at Muhimbili National Hospital Tanzania 1999 - 2005.
200612
15 202012
16 202211
17 202110
18 20207
19 20167
20 20237

About Method Kazaura

Method Kazaura is a scholar working on Infectious Diseases, Sociology and Political Science, General Health Professions, Pediatrics, Perinatology and Child Health and Health, having authored 42 papers that have together received 569 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (13 papers), Sex work and related issues (13 papers), Global Maternal and Child Health (9 papers), Adolescent Sexual and Reproductive Health (7 papers), HIV, Drug Use, Sexual Risk (6 papers), Viral Infections and Outbreaks Research (5 papers), Intimate Partner and Family Violence (4 papers) and Child Nutrition and Water Access (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (30 citations), Urology (83 citations), Pediatrics, Perinatology and Child Health (159 citations), General Health Professions (177 citations) and Infectious Diseases (120 citations). Method Kazaura has collaborated with scholars based in Tanzania, Norway and United States. Frequent co-authors include Rolv T. Lie, Melkiory C. Masatu, Rolv Skjærven, Beatus Simon, Mangi J. Ezekiel, Anne H. Outwater, Switbert R. Kamazima, Dereck Chitama, Elia J. Mmbaga and Kåre Moen. Their work appears in journals such as BMC Public Health, BMJ Global Health, JMIR mhealth and uhealth, International Journal of Environmental Research and Public Health and AIDS and Behavior.

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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