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Researcher · University of Utah · United States

Lindsay T. Keegan

Lindsay T. Keegan publishes mostly in Infectious Diseases, Modeling and Simulation and Epidemiology, on topics such as COVID-19 epidemiological studies, SARS-CoV-2 and COVID-19 Research and SARS-CoV-2 detection and testing.

ORCID 0000-0002-8526-3007 OpenAlex
World rank
#1,975,250
of 7,710,434 ranked researchers
Rank in United States
#600,481
of 1,627,098
Works
78
Citations
1.5k
Citations per work
18.7
h-index
17
i10-index 20Top 32% in Infectious Diseases
Lindsay T. Keegan

What does Lindsay T. Keegan research?

Lindsay T. Keegan's work is mostly in Medicine (42%), Mathematics (19%), Social Sciences (4%).

Health Sciences: 33 works · 42.3% of their workMedicine: 33 works · 42.3% of their workInfectious Diseases: 23 works · 30.1% of their workEpidemiology: 6 works · 7.1% of their workPublic Health, Environmental and Occupational Health: 4 works · 5.1% of their workEverything else: 24 works · 31.1% of their workPhysical Sciences: 15 works · 19.4% of their workMathematics: 15 works · 19.4% of their workModeling and Simulation: 15 works · 19.4% of their workSocial Sciences: 3 works · 4.1% of their workSocial Sciences: 3 works · 4.1% of their workHealth: 3 works · 4.1% of their workLife Sciences: 2 works · 3.1% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 3.1% of their workEndocrinology: 2 works · 3.1% of their workTHEIR WORKLindsay T. Keegan78works
Life Sciences3%Physical Sciences19%Health Sciences42%Social Sciences4%

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. Medicine3342.3%
  2. Everything else2431.1%
    1. Mathematics1519.4%
    1. Social Sciences34.1%
    1. Biochemistry, Genetics and Molecular Biology23.1%
  1. 1Infectious Diseases30% of their works
  2. 2Modeling and Simulation19% of their works
  3. 3Epidemiology7% of their works
  4. 4Public Health, Environmental and Occupational Health5% of their works
  5. 5Health4% of their works
  6. 6Endocrinology3% of their works

Research topics

Which keywords describe Lindsay T. Keegan's research?

The keywords of their largest research topics: Epidemiology, COVID-19, Modeling, transmission dynamics, SARS-CoV-2, Vaccine, ACE2 Receptor and Pandemic.

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 24 words, with their numbers
  1. Epidemiology604 topics
  2. COVID-19482 topics
  3. Modeling381 topic
  4. transmission dynamics381 topic
  5. SARS-CoV-2283 topics
  6. Vaccine192 topics
  7. ACE2 Receptor182 topics
  8. Pandemic182 topics
  9. Healthcare-Associated Infections162 topics
  10. Immune Response132 topics
  11. Coronavirus121 topic
  12. spike protein121 topic
  13. Diagnostics101 topic
  14. wastewater surveillance101 topic
  15. Antibiotic-Associated Diarrhea91 topic
  16. Fecal Microbiota Transplantation91 topic
  17. COVID-19 Vaccine81 topic
  18. Vaccine Hesitancy81 topic
  19. Ebola Virus71 topic
  20. MRSA71 topic
  21. Outbreak71 topic
  22. Staphylococcus aureus71 topic
  23. Clinical Characteristics61 topic
  24. Thrombosis61 topic

Where does Lindsay T. Keegan work?

Lindsay T. Keegan's main affiliation in the publication record is University of Utah, United States.

How many publications and citations does Lindsay T. Keegan have?

OpenAlex counts 78 works and 1,458 citations for Lindsay T. Keegan, an h-index of 17, ranking #1,975,250 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.

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