Daniel Nyato

781 citations
21 papers · 498 indexed · h-index 13

Impact in

Papers in

Daniel Nyato

20 papers receiving 488 citations

Peers

Daniel Nyato
Comparison fields: 5 of 73
  • Infectious Diseases 208
  • General Health Professions 246
  • Health 40
  • Gender Studies 43
  • Pediatrics, Perinatology and Child Health 90
Replace Sara K. Head with:
Sara K. Head United States
Aklilu Kidanu United States
Satyanarayana Ramanaik India
Simon Mwima United States
Herbert Muyinda Uganda
Neema Nakyanjo Uganda
Joanna Crichton United Kingdom
William Ddaaki Uganda
Tsitsi B. Masvawure United States
Kim Jonas South Africa
Daniel Nyato relative to Sara K. Head United States Sara K. Head's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Nyato

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Nyato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20224
2 20225
3 202048
4 20205
5 20209
6 202011
7 20198
8 201960
9 201944
10 201926
11 201916
12 201953
13 201838
14 20188
15 20180
16 201725
17 201753
18 201420
19 201023
20 201019

About Daniel Nyato

Daniel Nyato is a scholar working on Infectious Diseases, General Health Professions, Safety Research, Epidemiology and Health Information Management, having authored 21 papers that have together received 498 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (12 papers), Adolescent Sexual and Reproductive Health (12 papers), Sex work and related issues (8 papers), HIV, Drug Use, Sexual Risk (8 papers), Global Maternal and Child Health (4 papers), Poverty, Education, and Child Welfare (3 papers), Mosquito-borne diseases and control (2 papers) and Sexuality, Behavior, and Technology (2 papers). The work is most often cited by research in Infectious Diseases (208 citations), General Health Professions (246 citations), Health (40 citations), Gender Studies (43 citations) and Pediatrics, Perinatology and Child Health (90 citations). Daniel Nyato has collaborated with scholars based in Tanzania, United States and United Kingdom. Frequent co-authors include Joyce Wamoyi, Soori Nnko, Vinay R. Kamat, Mwita Wambura, John Changalucha, Evodius Kuringe, Nambusi Kyegombe, Ana Maria Buller, Lori Heise and Rebecca Meiksin. Their work appears in journals such as PLoS ONE, BMC Public Health, Culture Health & Sexuality, The International Journal of Health Planning and Management and Global Health Action.

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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