Daniel B. Hawcutt

11.1k total citations
111 papers, 1.3k citations indexed

About

Daniel B. Hawcutt is a scholar working on Pediatrics, Perinatology and Child Health, Physiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel B. Hawcutt has authored 111 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Pediatrics, Perinatology and Child Health, 18 papers in Physiology and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel B. Hawcutt's work include Pharmaceutical studies and practices (41 papers), Asthma and respiratory diseases (18 papers) and Child and Adolescent Health (9 papers). Daniel B. Hawcutt is often cited by papers focused on Pharmaceutical studies and practices (41 papers), Asthma and respiratory diseases (18 papers) and Child and Adolescent Health (9 papers). Daniel B. Hawcutt collaborates with scholars based in United Kingdom, Netherlands and Canada. Daniel B. Hawcutt's co-authors include Ian Sinha, Munir Pirmohamed, Simon Kenny, Rosalind L. Smyth, David H. Edgar, Richard Lindley, Marilyn G. Connell, Alice Lee, Rachel Harwood and M. Turner and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Daniel B. Hawcutt

97 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel B. Hawcutt 321 219 216 201 124 111 1.3k
Hassan Soleimanpour 181 0.6× 151 0.7× 374 1.7× 357 1.8× 111 0.9× 142 1.8k
Derek K. Ng 332 1.0× 130 0.6× 189 0.9× 225 1.1× 364 2.9× 109 2.0k
Judy A. Staffa 402 1.3× 104 0.5× 112 0.5× 301 1.5× 196 1.6× 37 2.3k
Ida Fortino 187 0.6× 126 0.6× 141 0.7× 122 0.6× 217 1.8× 108 1.9k
Hee‐Yeon Jung 175 0.5× 107 0.5× 200 0.9× 323 1.6× 237 1.9× 144 1.7k
François Montastruc 261 0.8× 109 0.5× 117 0.5× 153 0.8× 167 1.3× 145 2.3k
S. А. Boytsov 395 1.2× 328 1.5× 156 0.7× 353 1.8× 358 2.9× 360 2.8k
Kyndaron Reinier 117 0.4× 164 0.7× 199 0.9× 340 1.7× 387 3.1× 116 4.5k
Marietta Rottenkolber 203 0.6× 184 0.8× 100 0.5× 224 1.1× 375 3.0× 66 1.4k
Man Ki Kwok 287 0.9× 227 1.0× 76 0.4× 105 0.5× 209 1.7× 87 1.4k

Countries citing papers authored by Daniel B. Hawcutt

Since Specialization
Citations

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

Fields of papers citing papers by Daniel B. Hawcutt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel B. Hawcutt. 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 Daniel B. Hawcutt. The network helps show where Daniel B. Hawcutt may publish in the future.

Co-authorship network of co-authors of Daniel B. Hawcutt

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel B. Hawcutt. A scholar is included among the top collaborators of Daniel B. Hawcutt 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 Daniel B. Hawcutt. Daniel B. Hawcutt 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.
Hawcutt, Daniel B., et al.. (2025). Adverse Cardiovascular Risk Profile and Increased Diurnal Salivary Cortisol in Girls With Turner Syndrome: An Exploratory Study. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 199(2). 116–123.
2.
Lee, Alice, Pietá Schofield, Elizabeth Camacho, et al.. (2025). Evaluating the impact of a parent champion model on bronchiolitis hospitalisation rates: a difference in differences study. Archives of Disease in Childhood. 111(2). 173–179.
3.
Charras, Amandine, Octavio Aragon, David Porter, et al.. (2025). Evaluating antibiotic medications delivered through elastomeric devices in a paediatric population: a systematic review. Archives of Disease in Childhood. 111(4). 339–346.
4.
King, Charlotte, Mark Anderson, Apostolos Fakis, et al.. (2025). Severe accidental poisonings in children: a British Paediatric Surveillance Unit nationwide prospective study. Archives of Disease in Childhood. 110(8). 597–602.
5.
Zhou, Yufeng, A. Malcolm Gill, Louise Bracken, et al.. (2024). Rapid and non-invasive analysis of paracetamol overdose using paper arrow-mass spectrometry: a prospective observational study. BMC Medicine. 22(1). 553–553. 2 indexed citations
6.
Nikolaou, Elissavet, Esther L. German, Helen Nabwera, et al.. (2023). Assessing the use of minimally invasive self-sampling at home for long-term monitoring of the microbiota within UK families. Scientific Reports. 13(1). 18201–18201. 2 indexed citations
7.
Park, Julie, et al.. (2023). 20 years on – the measurement of blood pressure and detection of hypertension in children and adolescents: a national descriptive survey. Journal of Human Hypertension. 37(12). 1086–1090. 1 indexed citations
8.
Zhou, Yufeng, Tung-Ting Sham, Barry L. Smith, et al.. (2023). Emergency diagnosis made easy: matrix removal and analyte enrichment from raw saliva using paper-arrow mass spectrometry. The Analyst. 148(21). 5366–5379. 7 indexed citations
9.
Gill, A. Malcolm, et al.. (2023). 31 The impact of paediatric dose range checking software. Archives of Disease in Childhood. 108(6). A11.1–A11.
10.
Chetwynd, Andrew J., et al.. (2023). The readability of parent information leaflets in paediatric studies. Pediatric Research. 94(3). 1166–1171. 11 indexed citations
11.
Hawcutt, Daniel B., et al.. (2023). Assessing and further developing age‐appropriate information for young people about reporting suspected adverse drug reactions. British Journal of Clinical Pharmacology. 90(3). 863–870.
12.
Neumann, Eva, Jethro Herberg, Évelyne Jacqz-Aigrain, et al.. (2022). How paediatric drug development and use could benefit from OMICs: A c4c expert group white paper. British Journal of Clinical Pharmacology. 88(12). 5017–5033. 3 indexed citations
13.
King, Charlotte, et al.. (2022). Deprescribing montelukast in children with asthma: a systematic review. BMJ Open. 12(1). e053112–e053112. 5 indexed citations
14.
Tse, Yincent, et al.. (2022). Improving the experience of obtaining repeat complex paediatric prescriptions in the UK. Archives of Disease in Childhood. 107(11). 963–966. 2 indexed citations
15.
Hawcutt, Daniel B., et al.. (2021). Implementing a specialist paediatric clinical pharmacology service in a UK children's hospital. British Journal of Clinical Pharmacology. 88(1). 206–213. 3 indexed citations
16.
Sinha, Ian, et al.. (2020). Where next for inhaled corticosteroids in childhood asthma?. The Lancet Respiratory Medicine. 8(4). 345–345. 2 indexed citations
17.
Batchelor, Hannah, Richard Appleton, & Daniel B. Hawcutt. (2015). Comparing paediatric intravenous phenytoin doses using physiologically based pharmacokinetic (PBPK) modelling software. Seizure. 33. 8–12. 9 indexed citations
18.
Hawcutt, Daniel B., Laura Sutton, Andrea Jorgensen, et al.. (2014). Pharmacogenetics of warfarin in a paediatric population: time in therapeutic range, initial and stable dosing and adverse effects. The Pharmacogenomics Journal. 14(6). 542–548. 16 indexed citations
19.
Hawcutt, Daniel B., Brean S. Hammond, David Gokhale, et al.. (2011). Twin–twin confusion syndrome: Blood chimerism in opposite sex dizygotic twins. Journal of Obstetrics and Gynaecology. 31(5). 446–448. 5 indexed citations
20.

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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