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Researcher · Health Sciences Authority · Singapore

Mun Yee Tham

Mun Yee Tham publishes mostly in Artificial Intelligence, Toxicology and Cardiology and Cardiovascular Medicine, on topics such as Pharmacovigilance and Adverse Drug Reactions, Biomedical Text Mining and Ontologies and Machine Learning in Healthcare.

ORCID 0009-0009-9460-8060 OpenAlex
World rank
#5,596,595
of 7,710,434 ranked researchers
Rank in Singapore
#20,949
of 23,642
Works
17
Citations
135
Citations per work
7.9
h-index
6
i10-index 5Top 74% in Artificial Intelligence
Mun Yee Tham

What does Mun Yee Tham research?

Mun Yee Tham's work is mostly in Medicine (16%), Computer Science (14%), Pharmacology, Toxicology and Pharmaceutics (12%).

Everything else: 7 works · 43.1% of their workLife Sciences: 5 works · 27.5% of their workPharmacology, Toxicology and Pharmaceutics: 2 works · 11.8% of their workToxicology: 2 works · 11.8% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 9.8% of their workMolecular Biology: 2 works · 9.8% of their workAgricultural and Biological Sciences: 1 works · 5.9% of their workAnimal Science and Zoology: 1 works · 5.9% of their workHealth Sciences: 3 works · 15.7% of their workMedicine: 3 works · 15.7% of their workCardiology and Cardiovascular Medicine: 2 works · 9.8% of their workInfectious Diseases: 1 works · 5.9% of their workPhysical Sciences: 2 works · 13.7% of their workComputer Science: 2 works · 13.7% of their workArtificial Intelligence: 2 works · 13.7% of their workTHEIR WORKMun Yee Tham17works
Life Sciences28%Physical Sciences14%Health 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 else743.1%
    1. Pharmacology, Toxicology and Pharmaceutics211.8%
    2. Biochemistry, Genetics and Molecular Biology29.8%
    3. Agricultural and Biological Sciences15.9%
    1. Medicine315.7%
    1. Computer Science213.7%
  1. 1Artificial Intelligence14% of their works
  2. 2Toxicology12% of their works
  3. 3Cardiology and Cardiovascular Medicine10% of their works
  4. 4Molecular Biology10% of their works
  5. 5Infectious Diseases6% of their works
  6. 6Animal Science and Zoology6% of their works

Research topics

Which keywords describe Mun Yee Tham's research?

The keywords of their largest research topics: Adverse Drug Reactions, Coronavirus, Pharmacovigilance, Vaccine, Biomedical Ontologies, Deep Learning, Healthcare and Text Mining.

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 18 words, with their numbers
  1. Adverse Drug Reactions61 topic
  2. Coronavirus62 topics
  3. Pharmacovigilance61 topic
  4. Vaccine62 topics
  5. Biomedical Ontologies51 topic
  6. Deep Learning51 topic
  7. Healthcare51 topic
  8. Text Mining51 topic
  9. Circovirus31 topic
  10. Constrictive Pericarditis31 topic
  11. HLA-B*570131 topic
  12. Pericarditis31 topic
  13. Porcine Reproductive and Respiratory Syndrome Virus31 topic
  14. SARS-CoV-231 topic
  15. Stevens-Johnson Syndrome31 topic
  16. spike protein31 topic
  17. Neural Networks21 topic
  18. Word Representation21 topic

Where does Mun Yee Tham work?

Mun Yee Tham's main affiliation in the publication record is Health Sciences Authority, Singapore.

How many publications and citations does Mun Yee Tham have?

OpenAlex counts 17 works and 135 citations for Mun Yee Tham, an h-index of 6, ranking #5,596,595 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.

Discussion

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