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Researcher · Walter Sisulu University · South Africa

Oluwakemi Laguda-Akingba

Oluwakemi Laguda-Akingba publishes mostly in Infectious Diseases, Molecular Biology and Animal Science and Zoology, on topics such as SARS-CoV-2 and COVID-19 Research, Viral Infections and Outbreaks Research and SARS-CoV-2 detection and testing.

ORCID 0000-0002-1225-8098 OpenAlex
World rank
#869,775
of 7,710,434 ranked researchers
Rank in South Africa
#3,416
of 29,826
Works
20
Citations
6.6k
Citations per work
327.8
h-index
10
i10-index 10Top 64% in Infectious Diseases
Oluwakemi Laguda-Akingba

What does Oluwakemi Laguda-Akingba research?

Oluwakemi Laguda-Akingba's work is mostly in Medicine (52%), Biochemistry, Genetics and Molecular Biology (10%), Agricultural and Biological Sciences (7%).

Health Sciences: 10 works · 51.7% of their workMedicine: 10 works · 51.7% of their workInfectious Diseases: 10 works · 51.7% of their workEverything else: 4 works · 20.9% of their workLife Sciences: 3 works · 17.2% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 10.3% of their workMolecular Biology: 2 works · 10.3% of their workAgricultural and Biological Sciences: 1 works · 6.9% of their workAnimal Science and Zoology: 1 works · 6.9% of their workPhysical Sciences: 2 works · 10.2% of their workComputer Science: 1 works · 3.4% of their workInformation Systems: 1 works · 3.4% of their workEnvironmental Science: 1 works · 3.4% of their workEcology: 1 works · 3.4% of their workMathematics: 1 works · 3.4% of their workModeling and Simulation: 1 works · 3.4% of their workTHEIR WORKOluwakemiLaguda-Akingba20works
Life Sciences17%Physical Sciences10%Health Sciences52%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Medicine1051.7%
  2. Everything else420.9%
    1. Biochemistry, Genetics and Molecular Biology210.3%
    2. Agricultural and Biological Sciences16.9%
    1. Computer Science13.4%
    2. Environmental Science13.4%
    3. Mathematics13.4%
  1. 1Infectious Diseases52% of their works
  2. 2Molecular Biology10% of their works
  3. 3Animal Science and Zoology7% of their works
  4. 4Modeling and Simulation3% of their works
  5. 5Information Systems3% of their works
  6. 6Ecology3% of their works

Research topics

Which keywords describe Oluwakemi Laguda-Akingba's research?

The keywords of their largest research topics: Vaccine, SARS-CoV-2, Coronavirus, antibody, spike protein, Immune Response, Pathogenesis and COVID-19.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 23 words, with their numbers
  1. Vaccine233 topics
  2. SARS-CoV-2192 topics
  3. Coronavirus172 topics
  4. antibody131 topic
  5. spike protein131 topic
  6. Immune Response102 topics
  7. Pathogenesis102 topics
  8. COVID-1982 topics
  9. Diagnostics61 topic
  10. Ebola Virus61 topic
  11. Metagenomics62 topics
  12. Outbreak61 topic
  13. wastewater surveillance61 topic
  14. Circovirus41 topic
  15. Porcine Reproductive and Respiratory Syndrome Virus41 topic
  16. Contact Tracing Apps21 topic
  17. Digital Technologies21 topic
  18. Ecology21 topic
  19. Epitope Prediction21 topic
  20. Peptide-MHC Binding21 topic
  21. Quantitative21 topic
  22. Real-Time PCR21 topic
  23. Virus21 topic

Where does Oluwakemi Laguda-Akingba work?

Oluwakemi Laguda-Akingba's main affiliation in the publication record is Walter Sisulu University, South Africa.

How many publications and citations does Oluwakemi Laguda-Akingba have?

OpenAlex counts 20 works and 6,555 citations for Oluwakemi Laguda-Akingba, an h-index of 10, ranking #869,775 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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