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Researcher · UK Health Security Agency · United Kingdom

Natalie Groves

Natalie Groves publishes mostly in Infectious Diseases, Epidemiology and Molecular Biology, on topics such as SARS-CoV-2 and COVID-19 Research, COVID-19 Clinical Research Studies and SARS-CoV-2 detection and testing.

ORCID 0000-0002-3832-3484 OpenAlex
World rank
#181,639
of 7,710,434 ranked researchers
Rank in United Kingdom
#16,449
of 367,258
Works
63
Citations
11k
Citations per work
175.6
h-index
28
i10-index 45Top 12% in Infectious Diseases
Natalie Groves

What does Natalie Groves research?

Natalie Groves's work is mostly in Medicine (59%), Biochemistry, Genetics and Molecular Biology (10%), Mathematics (5%).

Health Sciences: 37 works · 59.2% of their workMedicine: 37 works · 59.2% of their workInfectious Diseases: 29 works · 46.6% of their workEpidemiology: 8 works · 12.6% of their workEverything else: 12 works · 18.9% of their workLife Sciences: 11 works · 16.7% of their workBiochemistry, Genetics and Molecular Biology: 6 works · 9.8% of their workMolecular Biology: 6 works · 9.8% of their workAgricultural and Biological Sciences: 3 works · 4.0% of their workAnimal Science and Zoology: 3 works · 4.0% of their workImmunology and Microbiology: 2 works · 2.9% of their workVirology: 2 works · 2.9% of their workPhysical Sciences: 3 works · 5.2% of their workMathematics: 3 works · 5.2% of their workModeling and Simulation: 3 works · 5.2% of their workTHEIR WORKNatalie Groves63works
Life Sciences17%Physical Sciences5%Health Sciences59%

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. Medicine3759.2%
  2. Everything else1218.9%
    1. Biochemistry, Genetics and Molecular Biology69.8%
    2. Agricultural and Biological Sciences34.0%
    3. Immunology and Microbiology22.9%
    1. Mathematics35.2%
  1. 1Infectious Diseases47% of their works
  2. 2Epidemiology13% of their works
  3. 3Molecular Biology10% of their works
  4. 4Modeling and Simulation5% of their works
  5. 5Animal Science and Zoology4% of their works
  6. 6Virology3% of their works

Research topics

Which keywords describe Natalie Groves's research?

The keywords of their largest research topics: SARS-CoV-2, ACE2 Receptor, Pandemic, Coronavirus, Vaccine, Viral Transmission, Epidemiology and antibody.

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 26 words, with their numbers
  1. SARS-CoV-2733 topics
  2. ACE2 Receptor562 topics
  3. Pandemic562 topics
  4. Coronavirus452 topics
  5. Vaccine452 topics
  6. Viral Transmission432 topics
  7. Epidemiology404 topics
  8. antibody381 topic
  9. spike protein381 topic
  10. COVID-19262 topics
  11. Immune Response252 topics
  12. Clinical Characteristics181 topic
  13. Thrombosis181 topic
  14. Diagnostics171 topic
  15. wastewater surveillance171 topic
  16. Pathogenesis152 topics
  17. Modeling91 topic
  18. transmission dynamics91 topic
  19. Anthrax81 topic
  20. Tularemia81 topic
  21. Circovirus71 topic
  22. Porcine Reproductive and Respiratory Syndrome Virus71 topic
  23. Community-Acquired Pneumonia61 topic
  24. Pneumococcal Conjugate Vaccine61 topic
  25. Monkeypox Virus51 topic
  26. Smallpox Vaccination51 topic

Where does Natalie Groves work?

Natalie Groves's main affiliation in the publication record is UK Health Security Agency, United Kingdom.

How many publications and citations does Natalie Groves have?

OpenAlex counts 63 works and 11,065 citations for Natalie Groves, an h-index of 28, ranking #181,639 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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