Kate Daly
Impact in
- Infectious Diseases top 5%
- Parvovirus B19 Infection Studies
- Infectious Encephalopathies and Encephalitis
- Epidemiology top 5%
- Cytomegalovirus and herpesvirus research
- Herpesvirus Infections and Treatments
Papers in
-
- Cytomegalovirus and herpesvirus research 3
- Herpesvirus Infections and Treatments 2
-
- Parvovirus B19 Infection Studies 2
- Co-authors
- William D. Rawlinson (3 shared papers)Antonia Shand (3 shared papers)Tiziana Lazzarotto (1 shared paper)Suresh B. Boppana (1 shared paper)Karen B. Fowler (1 shared paper)David W. Kimberlin (1 shared paper)Pamela Palasanthiran (2 shared papers)Cheryl Jones (2 shared papers)
- Journals
- Australian and New Zealand Journal of Obstetrics and Gynaecology (2 papers)The Lancet Infectious Diseases (1 paper)Medical Entomology and Zoology (1 paper)
- Partner nations
- AustraliaUnited StatesItaly
In The Last Decade
Kate Daly
4 papers receiving 555 citations
Kate Daly's Hit Papers
Peers
Comparison fields: 5 of 59
- Infectious Diseases 294
- Epidemiology 513
- Sensory Systems 51
- Pediatrics, Perinatology and Child Health 152
- Parasitology 49
Countries citing papers authored by Kate Daly
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Congenital cytomegalovirus infection in pregnancy and the neonate: consensus recommendations for prevention, diagnosis, and therapy Hit paper breakdown → | 2017 | 523 |
| 2 | 2019 | 19 | |
| 3 | Real Grammar: A Corpus-Based Approach to English | 2009 | 19 |
| 4 | 2022 | 11 |
About Kate Daly
Kate Daly is a scholar working on Epidemiology, Infectious Diseases, Pediatrics, Perinatology and Child Health, Artificial Intelligence and Public Health, Environmental and Occupational Health, having authored 4 papers that have together received 572 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (3 papers), Parvovirus B19 Infection Studies (2 papers), Herpesvirus Infections and Treatments (2 papers), Natural Language Processing Techniques (1 paper), Neonatal Health and Biochemistry (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Infectious Diseases (294 citations), Epidemiology (513 citations), Sensory Systems (51 citations), Pediatrics, Perinatology and Child Health (152 citations) and Parasitology (49 citations). Kate Daly has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include William D. Rawlinson, Antonia Shand, Tiziana Lazzarotto, Suresh B. Boppana, Karen B. Fowler, David W. Kimberlin, Pamela Palasanthiran, Cheryl Jones, Sophie Alain and Gail J. Harrison. 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.