Chanda Mwamba

1.1k citations
36 papers · 671 · h-index 12

Impact in

    • HIV/AIDS Research and Interventions
    • SARS-CoV-2 and COVID-19 Research
  • Health top 5%
    • Vaccine Coverage and Hesitancy

Papers in

Chanda Mwamba

30 papers receiving 664 citations

Peers

Chanda Mwamba
Comparison fields: 5 of 84
  • Infectious Diseases 427
  • Health 118
  • Virology 59
  • General Health Professions 227
  • Modeling and Simulation 36
Replace David Kaawa–Mafigiri with:
David Kaawa–Mafigiri Uganda
Osondu Ogbuoji United States
Lara Lewis South Africa
Samuel Anu Olowookere Nigeria
Monica Desai United Kingdom
Khumbulani Hlongwana South Africa
Emilie Venables South Africa
María Roura Ireland
Asli Kulane Sweden
Daniella Mark South Africa
Chanda Mwamba relative to David Kaawa–Mafigiri Uganda David Kaawa–Mafigiri's profile →
Citations per field
00.5×1.5×
David Kaawa–Mafigiri · 1×
Citations per year

Countries citing papers authored by Chanda Mwamba

Since Specialization
Citations

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

Fields of papers citing papers by Chanda Mwamba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201882
2 201880
3 202179
4 201966
5 201962
6 201850
7 201846
8 201936
9 202020
10 201919
11 201719
12 202015
13 202011
14 202011
15 202210
16 202210
17 20236
18 20226
19 20226
20 20226

About Chanda Mwamba

Chanda Mwamba is a scholar working on Infectious Diseases, General Health Professions, Pediatrics, Perinatology and Child Health, Epidemiology and Health, having authored 36 papers that have together received 671 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (25 papers), Adolescent Sexual and Reproductive Health (11 papers), Global Maternal and Child Health (10 papers), HIV, Drug Use, Sexual Risk (6 papers), ICT in Developing Communities (4 papers), Vaccine Coverage and Hesitancy (4 papers), Mobile Health and mHealth Applications (4 papers) and Patient-Provider Communication in Healthcare (3 papers). The work is most often cited by research in Infectious Diseases (427 citations), Health (118 citations), Virology (59 citations), General Health Professions (227 citations) and Modeling and Simulation (36 citations). Chanda Mwamba has collaborated with scholars based in Zambia, United States and Australia. Frequent co-authors include Anjali Sharma, Laura K. Beres, Elvin Geng, Izukanji Sikazwe, Charles B. Holmes, Stephanie M. Topp, Carolyn Bolton‐Moore, Njekwa Mukamba, Kombatende Sikombe and Nancy Padian. Their work appears in journals such as Journal of the International AIDS Society, JAIDS Journal of Acquired Immune Deficiency Syndromes, PLoS Medicine, BMJ Global Health and PLoS ONE.

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