D. Datta

729 total citations
22 papers, 375 citations indexed

About

D. Datta is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, D. Datta has authored 22 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 8 papers in Cardiology and Cardiovascular Medicine and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in D. Datta's work include Lipoproteins and Cardiovascular Health (12 papers), Lipid metabolism and disorders (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). D. Datta is often cited by papers focused on Lipoproteins and Cardiovascular Health (12 papers), Lipid metabolism and disorders (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). D. Datta collaborates with scholars based in United Kingdom, United States and Netherlands. D. Datta's co-authors include Jaimini Cegla, Handrean Soran, Gordon A. Ferns, Sharon D. Whatley, Pauline Ashfield‐Watt, Robert Cramb, Jules Payne, Ian McDowell, Peter Lansberg and Christopher D. Byrne and has published in prestigious journals such as SHILAP Revista de lepidopterología, Arteriosclerosis Thrombosis and Vascular Biology and Journal of Lipid Research.

In The Last Decade

D. Datta

19 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Datta United Kingdom 7 293 127 118 81 67 22 375
Arjen J. Cupido Netherlands 10 242 0.8× 129 1.0× 100 0.8× 63 0.8× 54 0.8× 14 428
Rutger Verbeek Netherlands 9 341 1.2× 164 1.3× 137 1.2× 83 1.0× 51 0.8× 16 421
Claudia Morozzi Italy 12 235 0.8× 117 0.9× 77 0.7× 54 0.7× 20 0.3× 19 332
Kiyohito Arai Japan 6 260 0.9× 139 1.1× 86 0.7× 59 0.7× 22 0.3× 8 333
Konrad Schmidt Austria 6 383 1.3× 151 1.2× 135 1.1× 140 1.7× 31 0.5× 9 492
Yong-Un Kim United States 6 328 1.1× 104 0.8× 87 0.7× 51 0.6× 94 1.4× 7 370
E. Roeseler Germany 9 540 1.8× 235 1.9× 168 1.4× 91 1.1× 117 1.7× 14 603
M.A.W. Umans-Eckenhausen Netherlands 7 450 1.5× 108 0.9× 166 1.4× 123 1.5× 93 1.4× 10 515
Sara Haidermota United States 8 143 0.5× 90 0.7× 47 0.4× 37 0.5× 21 0.3× 20 310

Countries citing papers authored by D. Datta

Since Specialization
Citations

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

Fields of papers citing papers by D. Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Datta

This figure shows the co-authorship network connecting the top 25 collaborators of D. Datta. A scholar is included among the top collaborators of D. Datta 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 D. Datta. D. Datta 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.
Kenkre, Julia, R. Dermot G. Neely, D. Datta, et al.. (2025). Standardising lipid testing and reporting in the United Kingdom; a joint statement by HEART UK and The Association for Laboratory Medicine. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 62(4). 257–286. 1 indexed citations
2.
Downie, Paul, Natalie Forrester, Anthony S. Wierzbicki, et al.. (2024). Ethnic Diversity and Distinctive Features of Familial Versus Multifactorial Chylomicronemia Syndrome: Insights From the UK FCS National Registry. Arteriosclerosis Thrombosis and Vascular Biology. 44(11). 2334–2346. 8 indexed citations
3.
4.
Cegla, Jaimini, D. Datta, Alan Rees, Handrean Soran, & Gilbert R. Thompson. (2024). The future of clinical lipidology in the UK. Clinical Medicine. 24(2). 100026–100026. 1 indexed citations
5.
Bashir, Babar, See Kwok, Anthony S. Wierzbicki, et al.. (2023). Familial Chylomicronaemia Syndrome (FCS) Compared to Multifactorial Chylomicronaemia Syndrome (MCS) – Lessons learnt from United Kingdom FCS Registry. SHILAP Revista de lepidopterología. 54. S4–S4. 1 indexed citations
6.
Ho, Jan Hoong, Paul Hamilton, Gordon A. Ferns, et al.. (2023). Severe Hypertriglyceridaemia and Chylomicronaemia Syndrome—Causes, Clinical Presentation, and Therapeutic Options. Metabolites. 13(5). 621–621. 22 indexed citations
7.
Qureshi, Nadeem, Beth Woods, Rita Faria, et al.. (2023). Alternative cascade-testing protocols for identifying and managing patients with familial hypercholesterolaemia: systematic reviews, qualitative study and cost-effectiveness analysis. Health Technology Assessment. 27(16). 1–140. 2 indexed citations
8.
Bashir, Babar, See Kwok, Anthony S. Wierzbicki, et al.. (2023). Natural history of familial chylomicronaemia syndrome (FCS) compared to multifactorial chylomicronaemia syndrome (MCS) - Initial analysis from united kingdom fcs registry. Atherosclerosis. 379. S4–S4. 1 indexed citations
9.
Datta, D., et al.. (2023). Minocycline-induced Pleuropericarditis. A3195–A3195.
10.
11.
Datta, D., et al.. (2020). Skin cancer awareness and prevention behaviour in Wales. British Journal of Dermatology. 184(4). 764–765. 2 indexed citations
12.
Pottle, Alison, Gilbert R. Thompson, Mahmoud Barbir, et al.. (2019). Lipoprotein apheresis efficacy, challenges and outcomes: A descriptive analysis from the UK Lipoprotein Apheresis Registry, 1989–2017. Atherosclerosis. 290. 44–51. 21 indexed citations
13.
Baum, Seth J., Tiziana Sampietro, D. Datta, et al.. (2019). Effect of evolocumab on lipoprotein apheresis requirement and lipid levels: Results of the randomized, controlled, open-label DE LAVAL study. Journal of clinical lipidology. 13(6). 901–909.e3. 11 indexed citations
14.
Cegla, Jaimini, R. Dermot G. Neely, Michael France, et al.. (2019). HEART UK consensus statement on Lipoprotein(a): A call to action. Atherosclerosis. 291. 62–70. 156 indexed citations
15.
Ashfield‐Watt, Pauline, et al.. (2016). Relationship between measurements of non-HDL-cholesterol and LDL-cholesterol in Familial Hypercholesterolaemia. Atherosclerosis. 245. e247–e247.
16.
17.
Whatley, Sharon D., et al.. (2015). Clinical experience of scoring criteria for Familial Hypercholesterolaemia (FH) genetic testing in Wales. Atherosclerosis. 240(1). 190–196. 96 indexed citations
18.
Datta, D., et al.. (2015). Hyperlipidaemia in paediatric practice. Paediatrics and Child Health. 25(3). 149–153. 3 indexed citations
19.
Connolly, Katherine, Gareth R. Willis, D. Datta, et al.. (2014). Lipoprotein-apheresis reduces circulating microparticles in individuals with familial hypercholesterolemia. Journal of Lipid Research. 55(10). 2064–2072. 37 indexed citations
20.
Shute, C. C. D., et al.. (2014). A man with a worrying potassium deficiency. Endocrinology Diabetes and Metabolism Case Reports. 2014. 130067–130067. 2 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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