Daniel Nyato

19 papers receiving 529 citations

Peers

Daniel Nyato
Comparison fields: 5 of 57
  • Infectious Diseases 150
  • General Health Professions 147
  • Health 25
  • Sociology and Political Science 119
  • Social Psychology 39
Replace Schenita Davis Randolph with:
Schenita Davis Randolph United States
Allyson J. Mutch Australia
Ellen Benoit United States
Azwihangwisi Helen Mavhandu‐Mudzusi South Africa
Jennifer Nazareno United States
Ndidiamaka Amutah‐Onukagha United States
Carol R Underwood United States
Alina Cernasev United States
Marcelo Medeiros Brazil
Rebecca A. Schleifer United States
Daniel Nyato relative to Schenita Davis Randolph United States Schenita Davis Randolph's profile →
Citations per field
00.5×2×3×4×5×
Schenita Davis Randolph · 1×
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-authors

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

19 of 19 papers shown
#Work
1 201971
2 202065
3 201760
4 201958
5 201945
6 201841
7 201931
8 201223
9 201422
10 201021
11 201020
12 201917
13 202015
14 201812
15 202012
16 20209
17 20198
18 20226
19 20224

About Daniel Nyato

Daniel Nyato is a scholar working on Infectious Diseases, General Health Professions, Sociology and Political Science, Social Psychology and Emergency Medical Services, having authored 19 papers that have together received 540 indexed citations. Recurring topics across this work include Sex work and related issues (5 papers), HIV/AIDS Research and Interventions (5 papers), Adolescent Sexual and Reproductive Health (5 papers), Malaria Research and Control (2 papers), Mental Health Treatment and Access (2 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper), Psychometric Methodologies and Testing (1 paper) and Gender Roles and Identity Studies (1 paper). The work is most often cited by research in Infectious Diseases (150 citations), General Health Professions (147 citations), Health (25 citations), Sociology and Political Science (119 citations) and Social Psychology (39 citations). Daniel Nyato has collaborated with scholars based in Tanzania, United States and United Kingdom. Frequent co-authors include Joyce Wamoyi, Mwita Wambura, Amani Flexson Shao, Evodius Kuringe, John M. Changalucha, Soori Nnko, Vinay R. Kamat, Lori Heise, Ana Maria Buller and Nambusi Kyegombe. Their work appears in journals such as PLoS ONE, BMC Public Health, Culture Health & Sexuality, Reproductive Health and Malaria Journal.

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.

Explore authors with similar magnitude of impact