Matthew Darlison

2.3k total citations
18 papers, 969 citations indexed

About

Matthew Darlison is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Rheumatology. According to data from OpenAlex, Matthew Darlison has authored 18 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pediatrics, Perinatology and Child Health, 8 papers in Genetics and 3 papers in Rheumatology. Recurrent topics in Matthew Darlison's work include Hemoglobinopathies and Related Disorders (8 papers), Prenatal Screening and Diagnostics (8 papers) and Global Maternal and Child Health (4 papers). Matthew Darlison is often cited by papers focused on Hemoglobinopathies and Related Disorders (8 papers), Prenatal Screening and Diagnostics (8 papers) and Global Maternal and Child Health (4 papers). Matthew Darlison collaborates with scholars based in United Kingdom, New Zealand and United States. Matthew Darlison's co-authors include Bernadette Modell, Dudley J. Pennell, Mark A. Westwood, Sowmiya Moorthie, Hannah Blencowe, Vijaya Kancherla, B. Modell, Mary Petrou, Henrik Birgens and Holger Cario and has published in prestigious journals such as Annals of the New York Academy of Sciences, Journal of Advanced Nursing and Bulletin of the World Health Organization.

In The Last Decade

Matthew Darlison

17 papers receiving 938 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Darlison United Kingdom 9 536 485 308 136 113 18 969
Melody J. Cunningham United States 14 1.0k 1.9× 941 1.9× 395 1.3× 45 0.3× 38 0.3× 22 1.4k
Ram Kalpatthi United States 18 609 1.1× 626 1.3× 222 0.7× 23 0.2× 86 0.8× 49 839
Melanie Kirby‐Allen Canada 15 485 0.9× 433 0.9× 133 0.4× 42 0.3× 28 0.2× 43 747
Farrukh Shah United Kingdom 16 628 1.2× 542 1.1× 111 0.4× 17 0.1× 22 0.2× 53 894
Jelili Ojodu United States 16 223 0.4× 133 0.3× 263 0.9× 99 0.7× 66 0.6× 36 869
Vincenzo De Sanctis Italy 15 402 0.8× 324 0.7× 170 0.6× 28 0.2× 47 0.4× 29 706
Donna Dizon‐Townson United States 14 108 0.2× 822 1.7× 492 1.6× 73 0.5× 31 0.3× 31 1.3k
Debra Pollard United Kingdom 17 371 0.7× 908 1.9× 161 0.5× 13 0.1× 94 0.8× 41 1.2k
Karel De Ceulaer Jamaica 13 265 0.5× 194 0.4× 66 0.2× 98 0.7× 52 0.5× 25 509
Abdulmohsen Al-Swailem Saudi Arabia 8 149 0.3× 107 0.2× 72 0.2× 37 0.3× 70 0.6× 13 633

Countries citing papers authored by Matthew Darlison

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Darlison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Darlison

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

All Works

18 of 18 papers shown
1.
Malherbe, Helen, Colleen Aldous, Arnold L. Christianson, Matthew Darlison, & Bernadette Modell. (2021). Modelled epidemiological data for selected congenital disorders in South Africa. Journal of Community Genetics. 12(3). 357–376. 5 indexed citations
2.
Modell, Bernadette, Matthew Darlison, & Joy E Lawn. (2018). Historical overview of development in methods to estimate burden of disease due to congenital disorders. Journal of Community Genetics. 9(4). 341–345. 5 indexed citations
3.
Blencowe, Hannah, Sowmiya Moorthie, Mary Petrou, et al.. (2018). Rare single gene disorders: estimating baseline prevalence and outcomes worldwide. Journal of Community Genetics. 9(4). 397–406. 35 indexed citations
4.
Blencowe, Hannah, et al.. (2018). Methods to estimate access to care and the effect of interventions on the outcomes of congenital disorders. Journal of Community Genetics. 9(4). 363–376. 7 indexed citations
5.
Blencowe, Hannah, Vijaya Kancherla, Sowmiya Moorthie, Matthew Darlison, & Bernadette Modell. (2018). Estimates of global and regional prevalence of neural tube defects for 2015: a systematic analysis. Annals of the New York Academy of Sciences. 1414(1). 31–46. 203 indexed citations
6.
Moorthie, Sowmiya, Hannah Blencowe, Matthew Darlison, et al.. (2017). Chromosomal disorders: estimating baseline birth prevalence and pregnancy outcomes worldwide. Journal of Community Genetics. 9(4). 377–386. 28 indexed citations
7.
Moorthie, Sowmiya, Hannah Blencowe, Matthew Darlison, et al.. (2017). An overview of concepts and approaches used in estimating the burden of congenital disorders globally. Journal of Community Genetics. 9(4). 347–362. 20 indexed citations
8.
Nacul, Luís, Alison Stewart, Susmita Chowdhury, et al.. (2013). A Toolkit to assess health needs for congenital disorders in low- and middle-income countries: an instrument for public health action. Journal of Public Health. 36(2). 243–250. 12 indexed citations
9.
Modell, Bernadette & Matthew Darlison. (2008). Epidemiología mundial de las hemoglobinopatías e indicadores de los servicios correspondientes. Bulletin of the World Health Organization. 86(6). 480–487.
10.
Modell, Bernadette & Matthew Darlison. (2008). Global Epidemiology of Haemoglobin Disorders and Derived Service indicators/Epidemiologie Mondiale Des Troubles De L'hemoglobine et Indicateurs De Service derives/Epidemiologia Mundial De Las Hemoglobinopatias E Indicadores De Los Servicios Correspondientes. Bulletin of the World Health Organization. 86(6). 480. 1 indexed citations
11.
Modell, Bernadette, et al.. (2008). Improved survival of thalassaemia major in the UK and relation to T2* cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance. 10(1). 42–42. 432 indexed citations
12.
Modell, B., Matthew Darlison, Henrik Birgens, et al.. (2007). Epidemiology of haemoglobin disorders in Europe: an overview. Scandinavian Journal of Clinical and Laboratory Investigation. 67(1). 39–70. 111 indexed citations
13.
Ingram, David, et al.. (2006). Towards an interoperable healthcare information infrastructure — working from the bottom up. BT Technology Journal. 24(3). 17–32. 1 indexed citations
14.
Yardumian, Anne, Paul Telfer, Philip Darbyshire, et al.. (2005). Standards for the Clinical Care of Children and Adults with Thalassaemia in the UK. UCL Discovery (University College London). 44 indexed citations
15.
Modell, B, Marium Khan, Matthew Darlison, et al.. (2001). A national register for surveillance of inherited disorders: beta thalassaemia in the United Kingdom.. PubMed. 79(11). 1006–13. 54 indexed citations
16.
Modell, Bernadette, et al.. (2000). Role of Genetic Diagnosis Registers in Ongoing Consultation with the Community. Public Health Genomics. 3(3). 144–147. 2 indexed citations
17.
Gould, Dinah, Veronica Nicky Thomas, & Matthew Darlison. (2000). The role of the haemoglobinopathy nurse counsellor: an exploratory study. Journal of Advanced Nursing. 31(1). 157–164. 6 indexed citations
18.
Modell, Bernadette & Matthew Darlison. (2000). New Developments in Genetics for the New Millennium: The Concept of Clinical Bioinformatics. Public Health Genomics. 3(4). 184–189. 3 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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