Kate Daly

984 citations
4 papers · 587 · 1 hit paper · h-index 4

Impact in

    • Cytomegalovirus and herpesvirus research
    • Herpesvirus Infections and Treatments
    • Parvovirus B19 Infection Studies

Papers in

Kate Daly

4 papers receiving 571 citations

Kate Daly's Hit Papers

Congenital cytomegalovirus infection in pregnancy and the neonate: consensus recommendations for prevention, diagnosis, and therapy 2017 · 538 citations
5380+3+6Years since publication100200300400500

Peers

Kate Daly
Comparison fields: 5 of 54
  • Epidemiology 511
  • Infectious Diseases 177
  • Sensory Systems 31
  • Parasitology 36
  • Pediatrics, Perinatology and Child Health 80
Replace Sara Menlove Doutré with:
Sara Menlove Doutré United States
Myriam de Lima Isaac Brazil
Mona‐Lisa Engman Sweden
Simona Caroppo Italy
Nelmary Hernandez-Alvarado United States
Tiffany Guilleminot France
John Dutton Wright United States
Annelies Keymeulen Belgium
Elizabeth C. Swanson United States
Julie Goderis Belgium
Kate Daly relative to Sara Menlove Doutré United States Sara Menlove Doutré's profile →
Citations per field
00.5×1.5×
Sara Menlove Doutré · 1×
Citations per year

Countries citing papers authored by Kate Daly

Since Specialization
Citations

This map shows the geographic impact of Kate Daly's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kate Daly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate Daly more than expected).

Fields of papers citing papers by Kate Daly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate Daly. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kate Daly. The network helps show where Kate Daly may publish in the future.

Co-authors

The 25 scholars most cited alongside Kate Daly, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kate Daly Line = papers co-authored together Kate Daly links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Congenital cytomegalovirus infection in pregnancy and the neonate: consensus recommendations for prevention, diagnosis, and therapy
Hit paper breakdown →
2017538
2 201919
3
Real Grammar: A Corpus-Based Approach to English
200919
4 202211

About Kate Daly

Kate Daly is a scholar working on Epidemiology, Infectious Diseases, Pediatrics, Perinatology and Child Health, Artificial Intelligence and Organic Chemistry, having authored 4 papers that have together received 587 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (3 papers), Neonatal Health and Biochemistry (1 paper), Parvovirus B19 Infection Studies (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Epidemiology (511 citations), Infectious Diseases (177 citations), Sensory Systems (31 citations), Parasitology (36 citations) and Pediatrics, Perinatology and Child Health (80 citations). Kate Daly has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include Antonia Shand, William D. Rawlinson, Lisa Hui, Cheryl Jones, Pamela Palasanthiran, Sara Menlove Doutré, Suresh B. Boppana, Karen B. Fowler, David W. Kimberlin and Sophie Alain. Their work appears in journals such as Australian and New Zealand Journal of Obstetrics and Gynaecology, The Lancet Infectious Diseases and Medical Entomology and Zoology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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