Pius Magesa

808 citations
10 papers · 572 · h-index 8

Impact in

  • Genetics top 2%
    • Hemoglobinopathies and Related Disorders
  • Hematology top 5%
    • Iron Metabolism and Disorders
    • Blood groups and transfusion

Papers in

Pius Magesa

10 papers receiving 550 citations

Peers

Pius Magesa
Comparison fields: 5 of 48
  • Genetics 313
  • Hematology 199
  • Management of Technology and Innovation 65
  • Hepatology 51
  • Pediatrics, Perinatology and Child Health 60
Replace Rachid Djoudi with:
Rachid Djoudi France
Fiekumo Igbida Buseri Nigeria
Sangeeta Pahuja India
Aisha Indo Mamman Nigeria
A Nanu India
Layla Bashawri Saudi Arabia
Berhanu Woldu Ethiopia
Peter Flanagan New Zealand
Fabio Candura Italy
Johanna C. Wiersum‐Osselton Netherlands
Pius Magesa relative to Rachid Djoudi France Rachid Djoudi's profile →
Citations per field
00.5×4.1×
Rachid Djoudi · 1×
Citations per year

Countries citing papers authored by Pius Magesa

Since Specialization
Citations

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

Fields of papers citing papers by Pius Magesa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Pius Magesa, 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 Pius Magesa Line = papers co-authored together Pius Magesa links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2011229
2 2006165
3 2009118
4 201713
5 201211
6
Risk factors for anaemia among HIV infected children attending HIV care and treatment clinic at Muhimbili National Hospital in Dar es Salaam, Tanzania.
201211
7
Association between anaemia and infections (HIV, malaria and hookworm) among children admitted at Muhimbili National Hospital.
201210
8 20129
9 20214
10 20082

About Pius Magesa

Pius Magesa is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Infectious Diseases, Genetics and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 572 indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (4 papers), HIV/AIDS Research and Interventions (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Malaria Research and Control (1 paper), Travel-related health issues (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Global Maternal and Child Health (1 paper) and Global Health and Surgery (1 paper). The work is most often cited by research in Genetics (313 citations), Hematology (199 citations), Management of Technology and Innovation (65 citations), Hepatology (51 citations) and Pediatrics, Perinatology and Child Health (60 citations). Pius Magesa has collaborated with scholars based in Tanzania, United Kingdom and Ghana. Frequent co-authors include Eligius Lyamuya, Julie Makani, David J. Roberts, Albert Komba, Jesse Kitundu, Josephine Mgaya, Kevin Marsh, Kisali Pallangyo, Thomas N. Williams and Elineema Meda. Their work appears in journals such as PLoS ONE, Blood, BMC Public Health, British Journal of Haematology and Anemia.

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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