Laura Yates

2.8k total citations
37 papers, 1.1k citations indexed

About

Laura Yates is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology. According to data from OpenAlex, Laura Yates has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Public Health, Environmental and Occupational Health, 18 papers in Pediatrics, Perinatology and Child Health and 6 papers in Obstetrics and Gynecology. Recurrent topics in Laura Yates's work include Pregnancy and Medication Impact (18 papers), Pharmacological Effects and Toxicity Studies (14 papers) and Maternal Mental Health During Pregnancy and Postpartum (9 papers). Laura Yates is often cited by papers focused on Pregnancy and Medication Impact (18 papers), Pharmacological Effects and Toxicity Studies (14 papers) and Maternal Mental Health During Pregnancy and Postpartum (9 papers). Laura Yates collaborates with scholars based in United Kingdom, United States and South Africa. Laura Yates's co-authors include Judith A. Goodship, Lorraine Eley, Jesse C. Dean, David F. Collins, Simon H. L. Thomas, Sally Stephens, Shl Thomas, Ravinesh A. Kumar, S. Robb and Timothy D. Babatz and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Nature Immunology.

In The Last Decade

Laura Yates

36 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura Yates United Kingdom 18 298 288 257 206 129 37 1.1k
Douglas P. Murphy United States 13 141 0.5× 396 1.4× 178 0.7× 181 0.9× 90 0.7× 42 1.3k
Maria Paola Bonasoni Italy 18 622 2.1× 607 2.1× 319 1.2× 340 1.7× 302 2.3× 109 1.7k
Malin Almgren Sweden 19 97 0.3× 184 0.6× 517 2.0× 209 1.0× 97 0.8× 27 984
Shunichiro Tsuji Japan 22 255 0.9× 257 0.9× 263 1.0× 114 0.6× 86 0.7× 116 1.5k
Margaret A. Smith United States 17 121 0.4× 66 0.2× 451 1.8× 220 1.1× 78 0.6× 43 1.5k
Maria Piccione Italy 21 80 0.3× 192 0.7× 408 1.6× 384 1.9× 90 0.7× 78 1.0k
Athanasios K. Petridis Germany 25 152 0.5× 64 0.2× 259 1.0× 73 0.4× 354 2.7× 141 2.1k
Eleonora Sgambati Italy 17 106 0.4× 92 0.3× 288 1.1× 64 0.3× 90 0.7× 93 1.0k
Salvatore Savasta Italy 23 62 0.2× 182 0.6× 542 2.1× 366 1.8× 110 0.9× 120 1.6k

Countries citing papers authored by Laura Yates

Since Specialization
Citations

This map shows the geographic impact of Laura Yates'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 Laura Yates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Yates more than expected).

Fields of papers citing papers by Laura Yates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Yates. 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 Laura Yates. The network helps show where Laura Yates may publish in the future.

Co-authorship network of co-authors of Laura Yates

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Yates. A scholar is included among the top collaborators of Laura Yates 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 Laura Yates. Laura Yates is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Joulia, Régis, Laura Yates, Simone A. Walker, et al.. (2025). A single-cell spatial chart of the airway wall reveals proinflammatory cellular ecosystems and their interactions in health and asthma. Nature Immunology. 26(6). 920–933. 9 indexed citations
2.
adams, jimi, Matitiahu Berkovitch, Maya Berlin, et al.. (2025). A Scoping Review of Human Teratogens and Their Impact on the Developing Brain: A Contribution From the ConcePTION Project. Birth Defects Research. 117(9). e2497–e2497. 1 indexed citations
4.
Egberts, Toine C. G., Florence van Hunsel, David J. Lewis, et al.. (2024). Validation of a Novel Method to Assess the Clinical Quality of Information in Pregnancy-Related Pharmacovigilance Case Reports: A ConcePTION Project. Drug Safety. 47(3). 261–270. 1 indexed citations
5.
Egberts, Toine C. G., Florence van Hunsel, David J. Lewis, et al.. (2023). Clinical quality of information of primary pregnancy pharmacovigilance data sources – A ConcePTION project. Neurotoxicology and Teratology. 98. 107246–107246. 1 indexed citations
6.
Richardson, Jonathan L., Alan Moore, Rebecca Bromley, et al.. (2023). Core Data Elements for Pregnancy Pharmacovigilance Studies Using Primary Source Data Collection Methods: Recommendations from the IMI ConcePTION Project. Drug Safety. 46(5). 479–491. 12 indexed citations
7.
Bromley, Rebecca, Ellen Campbell, John Craig, et al.. (2023). Neurodevelopment of babies born to mothers with epilepsy: A prospective observational cohort study. Epilepsia. 64(9). 2454–2471. 7 indexed citations
8.
Clayton‐Smith, Jill, Penny A. Cook, Christopher M. Morris, et al.. (2023). Neurodevelopmental outcomes in children and adults with Fetal Valproate Spectrum Disorder: A contribution from the ConcePTION project. Neurotoxicology and Teratology. 100. 107292–107292. 6 indexed citations
9.
Fairlie, Lee, Shobna Sawry, Faeezah Patel, et al.. (2020). COVID-19 in pregnancy in South Africa: Tracking the epidemic and defining the natural history. South African Medical Journal. 110(8). 729–729. 2 indexed citations
10.
Douzgou, Sofia, Hui Liang, Kay Metcalfe, et al.. (2019). The clinical presentation caused by truncating CHD8 variants. Clinical Genetics. 96(1). 72–84. 26 indexed citations
11.
Richardson, Jonathan L., et al.. (2019). Pregnancy outcomes following maternal venlafaxine use: A prospective observational comparative cohort study. Reproductive Toxicology. 84. 108–113. 18 indexed citations
12.
Alkanderi, Sumaya, Laura Yates, Sally Johnson, & John A. Sayer. (2017). Lessons learned from a multidisciplinary renal genetics clinic. QJM. 110(7). 453–457. 30 indexed citations
14.
Wilson, Brian T., et al.. (2015). Microdeletion 1p35.2: A recognizable facial phenotype with developmental delay. American Journal of Medical Genetics Part A. 167(8). 1916–1920. 2 indexed citations
15.
Thomas, Simon H. L. & Laura Yates. (2012). Prescribing without evidence – pregnancy. British Journal of Clinical Pharmacology. 74(4). 691–697. 29 indexed citations
16.
Yates, Laura, Matthias Pierce, Sally Stephens, et al.. (2010). Influenza A/H1N1v in pregnancy: an investigation of the characteristics and management of affected women and the relationship to pregnancy outcomes for mother and infant.. Health Technology Assessment. 14(34). 109–82. 105 indexed citations
17.
Dean, Jesse C., Laura Yates, & David F. Collins. (2008). Turning off the central contribution to contractions evoked by neuromuscular electrical stimulation. Muscle & Nerve. 38(2). 978–986. 11 indexed citations
18.
Dean, Jesse C., Laura Yates, & David F. Collins. (2007). Turning on the central contribution to contractions evoked by neuromuscular electrical stimulation. Journal of Applied Physiology. 103(1). 170–176. 69 indexed citations
19.
Lonie, Lorne, Daniel Porter, Maria Fraser, et al.. (2006). Determination of the mutation spectrum of theEXT1/EXT2genes in British Caucasian patients with multiple osteochondromas, and exclusion of six candidate genes inEXTnegative cases. Human Mutation. 27(11). 1160–1160. 45 indexed citations
20.
Eley, Lorraine, Lee Turnpenny, Laura Yates, et al.. (2004). A perspective on inversin. Cell Biology International. 28(2). 119–124. 33 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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