Kate Daly

959 total citations · 1 hit paper
4 papers, 572 citations indexed

About

Kate Daly is a scholar working on Epidemiology, Infectious Diseases and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Kate Daly has authored 4 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 2 papers in Infectious Diseases and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in Kate Daly's work include Cytomegalovirus and herpesvirus research (3 papers), Herpesvirus Infections and Treatments (2 papers) and Parvovirus B19 Infection Studies (2 papers). Kate Daly is often cited by papers focused on Cytomegalovirus and herpesvirus research (3 papers), Herpesvirus Infections and Treatments (2 papers) and Parvovirus B19 Infection Studies (2 papers). Kate Daly collaborates with scholars based in Australia, United States and Italy. Kate Daly's co-authors include William D. Rawlinson, Antonia Shand, Michelle Giles, Sophie Alain, Gail J. Harrison, David W. Kimberlin, Sara Menlove Doutré, Karen B. Fowler, Laura Gibson and Suresh B. Boppana and has published in prestigious journals such as The Lancet Infectious Diseases, Australian and New Zealand Journal of Obstetrics and Gynaecology and Medical Entomology and Zoology.

In The Last Decade

Kate Daly

4 papers receiving 555 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Congenital cytomegalovirus infection in pregnancy and the neonate: consensus recommendations for prevention, diagnosis, and therapy

2017 523 citations William D. Rawlinson, Suresh B. Boppana et al. The Lancet Infectious Diseases profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kate Daly Australia	4	513	294	152	56	51	4	572
Sara Menlove Doutré United States	5	501 1.0×	291 1.0×	155 1.0×	51 0.9×	52 1.0×	5	553
Russell D. Bradford United States	7	488 1.0×	203 0.7×	132 0.9×	81 1.4×	60 1.2×	12	581
Myriam de Lima Isaac Brazil	4	308 0.6×	191 0.6×	76 0.5×	30 0.5×	38 0.7×	4	346
April L. Palmer United States	10	688 1.3×	410 1.4×	217 1.4×	107 1.9×	73 1.4×	14	785
Simona Caroppo Italy	8	528 1.0×	291 1.0×	180 1.2×	62 1.1×	107 2.1×	12	614
Ina Foulon Belgium	11	675 1.3×	357 1.2×	234 1.5×	100 1.8×	156 3.1×	25	815
Tiffany Guilleminot France	11	524 1.0×	399 1.4×	171 1.1×	55 1.0×	26 0.5×	22	579
Annelies Keymeulen Belgium	8	466 0.9×	193 0.7×	163 1.1×	72 1.3×	174 3.4×	18	574
Nelmary Hernandez-Alvarado United States	12	358 0.7×	181 0.6×	55 0.4×	46 0.8×	23 0.5×	32	421
Julie Goderis Belgium	5	391 0.8×	155 0.5×	132 0.9×	64 1.1×	179 3.5×	5	499

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-authorship network of co-authors of Kate Daly

This figure shows the co-authorship network connecting the top 25 collaborators of Kate Daly. A scholar is included among the top collaborators of Kate Daly based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kate Daly. Kate Daly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

4 of 4 papers shown

1.

Smithers‐Sheedy, Hayley, Ruth King, Lisa Hui, et al.. (2022). eLearning significantly improves maternity professionals’ knowledge of the congenital cytomegalovirus prevention guidelines. Australian and New Zealand Journal of Obstetrics and Gynaecology. 62(3). 445–452. 11 indexed citations

2.

Rawlinson, William D ., et al.. (2019). Knowledge of congenital cytomegalovirus (CMV) in pregnant women in Australia is low, and improved with education. Australian and New Zealand Journal of Obstetrics and Gynaecology. 59(6). 843–849. 19 indexed citations

3.

Rawlinson, William D ., Suresh B. Boppana, Karen B. Fowler, et al.. (2017). Congenital cytomegalovirus infection in pregnancy and the neonate: consensus recommendations for prevention, diagnosis, and therapy. The Lancet Infectious Diseases. 17(6). e177–e188. 523 indexed citations breakdown →

4.

Conrad, Susan, et al.. (2009). Real Grammar: A Corpus-Based Approach to English. Medical Entomology and Zoology. 19 indexed citations

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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