- Research works
- 3 fractional, all time
- Citations
- 2 0.6 per fractional work
- Top-10% rate
- 0.0% record average 16.5%
- Open access
- 34% world 28%
Not ranked overall: UT Health Austin is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
Which research topics does UT Health Austin publish most on?
By volume in 2022–2025: Cancer survivorship and care, Cancer Diagnosis and Treatment, Ocular Infections and Treatments and Legionella and Acanthamoeba research.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Cancer survivorship and care Oncology 0 works
- 2 Cancer Diagnosis and Treatment Oncology 0 works
- 3 Ocular Infections and Treatments Ophthalmology 0 works
- 4 Legionella and Acanthamoeba research Endocrinology 0 works
- 5 Traumatic Ocular and Foreign Body Injuries Ophthalmology 0 works
- 6 Palliative Care and End-of-Life Issues Public Health, Environmental and Occupational Health 0 works
- 7 Global Cancer Incidence and Screening Oncology 0 works
- 8 Transplantation: Methods and Outcomes Surgery 0 works
- 9 Genetic Syndromes and Imprinting Genetics 0 works
- 10 Prenatal Screening and Diagnostics Pediatrics, Perinatology and Child Health 0 works
How open and international is its research?
Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.
World: 28% of research is openly available.
World: 19% is written across borders.
How has UT Health Austin's research output changed?
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Other research institutions in Austin
- Applied Research Laboratories, The University of Texas at Austin
- University of Texas Institute for Geophysics
- Bureau of Economic Geology
- Texas Advanced Computing Center
- Oklahoma-Texas Water Science Center
- Texas Board of Professional Engineers and Land Surveyors
- Institute for Foundations of Machine Learning
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.