Innocent Maposa

805 citations
53 papers · 449 · h-index 13

Impact in

Papers in

Innocent Maposa

49 papers receiving 433 citations

Peers

Innocent Maposa
Comparison fields: 5 of 87
  • Infectious Diseases 84
  • Modeling and Simulation 16
  • Health 24
  • Clinical Psychology 51
  • Speech and Hearing 13
Replace Jacqui Thornton with:
Jacqui Thornton United Kingdom
Christian Akem Dimala United Kingdom
Jessica Hanae Zafra‐Tanaka Peru
Omar T. Sims United States
Kalpana Thapa Bajgain Canada
Yordanos M. Tiruneh United States
Anique Atherley Barbados
Arrash Yassaee United Kingdom
José Natal Figueroa Brazil
April D. Summers United States
Innocent Maposa relative to Jacqui Thornton United Kingdom Jacqui Thornton's profile →
Citations per field
00.5×2×3×3.8×
Jacqui Thornton · 1×
Citations per year

Countries citing papers authored by Innocent Maposa

Since Specialization
Citations

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

Fields of papers citing papers by Innocent Maposa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202063
2 202133
3 202128
4 202224
5 202121
6 202120
7 202220
8 202017
9 201617
10 201815
11 202214
12 202314
13 202113
14 202111
15 202110
16 202310
17 20229
18 20219
19 20208
20 20178

About Innocent Maposa

Innocent Maposa is a scholar working on Health, Speech and Hearing, Pediatrics, Perinatology and Child Health, Infectious Diseases and Epidemiology, having authored 53 papers that have together received 449 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), HIV/AIDS Impact and Responses (3 papers), HIV/AIDS Research and Interventions (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Intimate Partner and Family Violence (2 papers), Cardiovascular Health and Risk Factors (2 papers), Vaccine Coverage and Hesitancy (2 papers) and Adolescent Sexual and Reproductive Health (2 papers). The work is most often cited by research in Infectious Diseases (84 citations), Modeling and Simulation (16 citations), Health (24 citations), Clinical Psychology (51 citations) and Speech and Hearing (13 citations). Innocent Maposa has collaborated with scholars based in South Africa, United States and Malawi. Frequent co-authors include Oliver Johnson, L J Robertson, Lisa Kim Micklesfield, Lisa Jayne Ware, Ans Baeyens, S. L. Norris, Paul R Kowal, Mohanad Mohammed, Rooyen Tinago Mavenyengwa and Alfred Musekiwa. Their work appears in journals such as BMC Public Health, PLoS ONE, BMJ Open, BMC Women s Health and International Journal of Epidemiology.

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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