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Researcher · University of Zimbabwe · Zimbabwe

Trust Zaranyika

Trust Zaranyika publishes mostly in Economics and Econometrics, Endocrinology, Diabetes and Metabolism and Infectious Diseases, on topics such as Antibiotic Resistance in Bacteria, Antibiotic Use and Resistance and Health Systems, Economic Evaluations, Quality of Life.

ORCID 0000-0003-4363-7709 OpenAlex
World rank
#780,207
of 7,710,434 ranked researchers
Rank in Zimbabwe
#103
of 1,509
Works
18
Citations
863
Citations per work
47.9
h-index
9
i10-index 9Top 41% in Economics and Econometrics
Trust Zaranyika

What does Trust Zaranyika research?

Trust Zaranyika's work is mostly in Medicine (27%), Economics, Econometrics and Finance (16%), Biochemistry, Genetics and Molecular Biology (6%).

Everything else: 8 works · 45.1% of their workHealth Sciences: 5 works · 27.4% of their workMedicine: 5 works · 27.4% of their workEndocrinology, Diabetes and Metabolism: 2 works · 13.7% of their workInfectious Diseases: 1 works · 7.8% of their workPublic Health, Environmental and Occupational Health: 1 works · 5.9% of their workSocial Sciences: 3 works · 15.7% of their workEconomics, Econometrics and Finance: 3 works · 15.7% of their workEconomics and Econometrics: 3 works · 15.7% of their workLife Sciences: 2 works · 11.8% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 5.9% of their workMolecular Medicine: 1 works · 5.9% of their workImmunology and Microbiology: 1 works · 5.9% of their workApplied Microbiology and Biotechnology: 1 works · 5.9% of their workTHEIR WORKTrust Zaranyika18works
Life Sciences12%Health Sciences27%Social Sciences16%

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. Everything else845.1%
    1. Medicine527.4%
    1. Economics, Econometrics and Finance315.7%
    1. Biochemistry, Genetics and Molecular Biology15.9%
    2. Immunology and Microbiology15.9%
  1. 1Economics and Econometrics16% of their works
  2. 2Endocrinology, Diabetes and Metabolism14% of their works
  3. 3Infectious Diseases8% of their works
  4. 4Applied Microbiology and Biotechnology6% of their works
  5. 5Molecular Medicine6% of their works
  6. 6Public Health, Environmental and Occupational Health6% of their works

Research topics

Which keywords describe Trust Zaranyika's research?

The keywords of their largest research topics: Antibiotic Resistance, Epidemiology, Infectious Diseases, Diabetes, Antimicrobial Stewardship, Cost-effectiveness Analysis, Drug Development Costs and ESKAPE Pathogens.

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 20 words, with their numbers
  1. Antibiotic Resistance62 topics
  2. Epidemiology52 topics
  3. Infectious Diseases52 topics
  4. Diabetes42 topics
  5. Antimicrobial Stewardship31 topic
  6. Cost-effectiveness Analysis31 topic
  7. Drug Development Costs31 topic
  8. ESKAPE Pathogens31 topic
  9. Generic Drugs31 topic
  10. Global Health31 topic
  11. Multidrug-Resistant Bacteria31 topic
  12. Quality of Life31 topic
  13. Biosimilars21 topic
  14. COVID-1921 topic
  15. Cardiovascular Disease21 topic
  16. Depression21 topic
  17. Immunogenicity21 topic
  18. Metabolic Syndrome21 topic
  19. Modeling21 topic
  20. Self-Management21 topic

Where does Trust Zaranyika work?

Trust Zaranyika's main affiliation in the publication record is University of Zimbabwe, Zimbabwe.

How many publications and citations does Trust Zaranyika have?

OpenAlex counts 18 works and 863 citations for Trust Zaranyika, an h-index of 9, ranking #780,207 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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