Christopher M. Ndugwa

853 citations
23 papers · 603 indexed · h-index 12

Christopher M. Ndugwa

23 papers receiving 575 citations

Peers

Christopher M. Ndugwa
Comparison fields: 5 of 78
  • Genetics 281
  • Hematology 262
  • Virology 75
  • Infectious Diseases 166
  • Parasitology 53
Replace Norbert Peshu with:
Norbert Peshu Kenya
Albert Komba Tanzania
Rudi Wisaksana Indonesia
Edgar K. Dorman United Kingdom
Alemayehu Bekele Ethiopia
Amanda B. Payne United States
Charles Kiyaga Uganda
Emmanuel Balandya Tanzania
Ermias Hailu Ethiopia
Jean Emmanuel Zimbabwe
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Citations per year

Countries citing papers authored by Christopher M. Ndugwa

Since Specialization
Citations

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

Fields of papers citing papers by Christopher M. Ndugwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher M. Ndugwa. 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 Christopher M. Ndugwa. The network helps show where Christopher M. Ndugwa may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20221
2 202092
3 201798
4 201618
5 201310
6
Homozygous sickle cell disease in Uganda and Jamaica a comparison of Bantu and Benin haplotypes.
20128
7 200659
8 200664
9
Sickle haemoglobin and haemoglobin Stanleyville II: possible confusion with sickle cell-haemoglobin C disease.
20053
10 200235
11 200129
12 20012
13 199951
14 199937
15 199934
16 19944
17
Beta 2-microglobulin, HIV-1 p24 antibody and acid-dissociated HIV-1 p24 antigen levels: predictive markers for vertical transmission of HIV-1 in pregnant Ugandan women.
199321
18
Mortality and Natural History Experience in Children of HIV-1 Infected Mothers in Uganda
19931
19 199120
20
Perinatal Outcome in HIV-Infected Women in Uganda
19907

About Christopher M. Ndugwa

Christopher M. Ndugwa is a scholar working on Virology, Genetics and Infectious Diseases, having authored 23 papers that have together received 603 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (9 papers), Hemoglobinopathies and Related Disorders (9 papers), Iron Metabolism and Disorders (6 papers), HIV Research and Treatment (5 papers), HIV-related health complications and treatments (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Global Maternal and Child Health (3 papers) and HIV/AIDS Impact and Responses (3 papers). The work is most often cited by research in Genetics (281 citations), Hematology (262 citations) and Virology (75 citations). Christopher M. Ndugwa has collaborated with scholars based in Uganda, United States and Canada. Frequent co-authors include Russell E. Ware, Teresa Latham, Phillip Kasirye, Chandy C. John, Heather Hume, Robert O. Opoka, Adam Lane, G. R. Serjeant, Edison Mworozi and Laura Guay. Their work appears in journals such as New England Journal of Medicine, Blood and The Journal of Infectious Diseases.

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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