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Researcher · Eli Lilly (United States) · United States

Ming‐Dauh Wang

Ming‐Dauh Wang publishes mostly in Statistics and Probability, Surgery and Oncology, on topics such as Statistical Methods in Clinical Trials, Lipoproteins and Cardiovascular Health and Computational Drug Discovery Methods.

OpenAlex
World rank
#4,400,563
of 7,710,434 ranked researchers
Rank in United States
#1,176,655
of 1,627,098
Works
25
Citations
397
Citations per work
15.9
h-index
8
i10-index 8Top 66% in Statistics and Probability
Ming‐Dauh Wang

What does Ming‐Dauh Wang research?

Ming‐Dauh Wang's work is mostly in Mathematics (32%), Medicine (25%), Economics, Econometrics and Finance (7%).

Physical Sciences: 9 works · 37.5% of their workMathematics: 8 works · 31.9% of their workStatistics and Probability: 8 works · 31.9% of their workComputer Science: 1 works · 5.6% of their workComputational Theory and Mathematics: 1 works · 5.6% of their workEverything else: 8 works · 30.6% of their workHealth Sciences: 6 works · 25.0% of their workMedicine: 6 works · 25.0% of their workSurgery: 3 works · 11.1% of their workOncology: 2 works · 9.7% of their workCardiology and Cardiovascular Medicine: 1 works · 4.2% of their workSocial Sciences: 2 works · 6.9% of their workEconomics, Econometrics and Finance: 2 works · 6.9% of their workEconomics and Econometrics: 2 works · 6.9% of their workTHEIR WORKMing‐Dauh Wang25works
Physical Sciences38%Health Sciences25%Social Sciences7%

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. Mathematics831.9%
    2. Computer Science15.6%
  2. Everything else830.6%
    1. Medicine625.0%
    1. Economics, Econometrics and Finance26.9%
  1. 1Statistics and Probability32% of their works
  2. 2Surgery11% of their works
  3. 3Oncology10% of their works
  4. 4Economics and Econometrics7% of their works
  5. 5Computational Theory and Mathematics6% of their works
  6. 6Cardiology and Cardiovascular Medicine4% of their works

Research topics

Which keywords describe Ming‐Dauh Wang's research?

The keywords of their largest research topics: Bayesian Methods, Adaptive Designs, False Discovery Rate, Cholesterol-lowering, Statins, ATP-dependent Transporters, Bayesian Modeling and Cost-effectiveness Analysis.

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.

All 17 words, with their numbers
  1. Bayesian Methods142 topics
  2. Adaptive Designs101 topic
  3. False Discovery Rate101 topic
  4. Cholesterol-lowering51 topic
  5. Statins51 topic
  6. ATP-dependent Transporters41 topic
  7. Bayesian Modeling41 topic
  8. Cost-effectiveness Analysis41 topic
  9. Molecular Docking41 topic
  10. Multidrug Resistance41 topic
  11. Multiple Imputation41 topic
  12. Quality of Life41 topic
  13. Regularization41 topic
  14. Variable Selection41 topic
  15. Virtual Screening41 topic
  16. Causal Inference31 topic
  17. Propensity Score31 topic

Where does Ming‐Dauh Wang work?

Ming‐Dauh Wang's main affiliation in the publication record is Eli Lilly (United States), United States.

How many publications and citations does Ming‐Dauh Wang have?

OpenAlex counts 25 works and 397 citations for Ming‐Dauh Wang, an h-index of 8, ranking #4,400,563 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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