Michael Otieno

26 papers receiving 662 citations

Peers

Michael Otieno
Comparison fields: 5 of 84
  • Parasitology 188
  • Endocrinology 79
  • Public Health, Environmental and Occupational Health 300
  • Immunology 150
  • Small Animals 44
Replace Candy Chuah with:
Candy Chuah Malaysia
Morven B. Roberts United Kingdom
Mauro Shugiro Tada Brazil
Marion Schmitz Netherlands
Rahel Wampfler Switzerland
Christian Roussilhon France
Charles Arama Mali
Natalie Hofmann Switzerland
D. Afchain France
Christoph Schoerner Germany
Michael Otieno relative to Candy Chuah Malaysia Candy Chuah's profile →
Citations per field
00.5×4.2×
Candy Chuah · 1×
Citations per year

Countries citing papers authored by Michael Otieno

Since Specialization
Citations

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

Fields of papers citing papers by Michael Otieno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991145
2 199991
3 200869
4 200755
5
Association of FCgamma receptor IIA (CD32) polymorphism with malarial anemia and high-density parasitemia in infants and young children.
200645
6 200642
7 200836
8 201725
9 201022
10 200922
11 200920
12 201816
13 201713
14 201012
15 201611
16 198610
17 198510
18 19939
19 20079
20 20177

About Michael Otieno

Michael Otieno is a scholar working on Public Health, Environmental and Occupational Health, Immunology, Infectious Diseases, Epidemiology and Parasitology, having authored 30 papers that have together received 680 indexed citations. Recurring topics across this work include Malaria Research and Control (10 papers), Complement system in diseases (8 papers), Parasites and Host Interactions (5 papers), Tuberculosis Research and Epidemiology (4 papers), Parasite Biology and Host Interactions (4 papers), Diagnosis and treatment of tuberculosis (3 papers), Immune Cell Function and Interaction (3 papers) and Child Nutrition and Water Access (2 papers). The work is most often cited by research in Parasitology (188 citations), Endocrinology (79 citations), Public Health, Environmental and Occupational Health (300 citations), Immunology (150 citations) and Small Animals (44 citations). Michael Otieno has collaborated with scholars based in Kenya, United States and United Kingdom. Frequent co-authors include John Michael Ong’echa, Tom Were, Douglas J. Perkins, John Vulule, Alloys S. S. Orago, Collins Ouma, Robert E. Ferrell, R. F. Sturrock, Gregory C. Davenport and Délphine Grezel. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, Infection and Immunity, Transactions of the Royal Society of Tropical Medicine and Hygiene, The American Journal of Human Genetics and Infection Genetics and Evolution.

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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