Chacha Mangu

1.3k citations
22 papers · 489 · h-index 12

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 8
    • Viral Infections and Outbreaks Research 5
    • Viral Infections and Vectors 4
    • Mycobacterium research and diagnosis 4
    • Pneumonia and Respiratory Infections 2

Chacha Mangu

18 papers receiving 481 citations

Peers

Chacha Mangu
Comparison fields: 5 of 81
  • Infectious Diseases 296
  • Parasitology 57
  • Epidemiology 221
  • Molecular Medicine 25
  • Health Information Management 23
Replace Ibrahim Ali with:
Ibrahim Ali Ethiopia
Levina Msuya Tanzania
Tsegaye Hailu Ethiopia
Joan-Pau Millet Spain
Bayodé Roméo Adégbitè Gabon
Haruna Jibril United States
Z. A. Karrar Sudan
Kate Grimwade South Africa
Elvis Temfack Cameroon
Djatnika Setiabudi Indonesia
Chacha Mangu relative to Ibrahim Ali Ethiopia Ibrahim Ali's profile →
Citations per field
00.5×2.9×
Ibrahim Ali · 1×
Citations per year

Countries citing papers authored by Chacha Mangu

Since Specialization
Citations

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

Fields of papers citing papers by Chacha Mangu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013128
2 201458
3 201555
4 201441
5 201834
6 202031
7 201724
8 201321
9 202021
10 202016
11 201514
12 201812
13 202211
14 20217
15 20136
16 20164
17 20183
18 20242
19 20161
20 20250

About Chacha Mangu

Chacha Mangu is a scholar working on Infectious Diseases, Epidemiology, Pediatrics, Perinatology and Child Health, Health Information Management and Public Health, Environmental and Occupational Health, having authored 22 papers that have together received 489 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (8 papers), Global Maternal and Child Health (5 papers), Viral Infections and Outbreaks Research (5 papers), Mycobacterium research and diagnosis (4 papers), Viral Infections and Vectors (4 papers), COVID-19 diagnosis using AI (2 papers), Zoonotic diseases and public health (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Infectious Diseases (296 citations), Parasitology (57 citations), Epidemiology (221 citations), Molecular Medicine (25 citations) and Health Information Management (23 citations). Chacha Mangu has collaborated with scholars based in Tanzania, Germany and United Kingdom. Frequent co-authors include Michael Höelscher, Andrea Rachow, Norbert Heinrich, Stephen H. Gillespie, Elmar Saathoff, Martin J. Boeree, Rodney Dawson, Andreas H. Diacon, Patrick Phillips and Petra Clowes. Their work appears in journals such as BMC Infectious Diseases, Viruses, PLoS ONE, Frontiers in Microbiology and International 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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