Beth Kangwana

21 papers receiving 419 citations

Peers

Beth Kangwana
Comparison fields: 5 of 49
  • Modeling and Simulation 57
  • Health 38
  • Clinical Psychology 99
  • Obstetrics and Gynecology 23
  • Public Health, Environmental and Occupational Health 87
Replace Eva Muluve with:
Eva Muluve Kenya
Daniel Mwanga Kenya
Faith Mbushi United States
Rajeeb Kumar Sah United Kingdom
Hanna Amanuel United States
Emma Cave United Kingdom
Vergil de Claro Philippines
Aletha Maybank United States
Sharon Dolovich United States
Bachera Aktar Bangladesh
Beth Kangwana relative to Eva Muluve Kenya Eva Muluve's profile →
Citations per field
00.5×10.9×
Eva Muluve · 1×
Citations per year

Countries citing papers authored by Beth Kangwana

Since Specialization
Citations

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

Fields of papers citing papers by Beth Kangwana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202087
2 202168
3 201158
4 202145
5 202130
6 202123
7 202119
8 202217
9 202217
10 201314
11 200711
12 20228
13 20208
14 20138
15 20215
16 20234
17 20233
18 20242
19 20242
20 20232

About Beth Kangwana

Beth Kangwana is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Clinical Psychology, Safety Research and Modeling and Simulation, having authored 26 papers that have together received 433 indexed citations. Recurring topics across this work include Malaria Research and Control (4 papers), COVID-19 epidemiological studies (3 papers), Poverty, Education, and Child Welfare (3 papers), Urban and Rural Development Challenges (2 papers), Adolescent Sexual and Reproductive Health (2 papers), COVID-19 Pandemic Impacts (2 papers), Hypothalamic control of reproductive hormones (1 paper) and Agricultural risk and resilience (1 paper). The work is most often cited by research in Modeling and Simulation (57 citations), Health (38 citations), Clinical Psychology (99 citations), Obstetrics and Gynecology (23 citations) and Public Health, Environmental and Occupational Health (87 citations). Beth Kangwana has collaborated with scholars based in Kenya, United States and United Kingdom. Frequent co-authors include Karen Austrian, Faith Mbushi, Eva Muluve, Jessie Pinchoff, Thoại D. Ngô, Erica Soler‐Hampejsek, Daniel Mwanga, Mercy Nzioki, Timothy Abuya and James B. Tidwell. Their work appears in journals such as PLoS ONE, Journal of Adolescent Health, BMC Public Health, Malaria Journal and SSM - Population Health.

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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