Jaimini Cegla

1.5k total citations
41 papers, 740 citations indexed

About

Jaimini Cegla is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jaimini Cegla has authored 41 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Surgery, 18 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jaimini Cegla's work include Lipoproteins and Cardiovascular Health (17 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers) and Cancer, Lipids, and Metabolism (6 papers). Jaimini Cegla is often cited by papers focused on Lipoproteins and Cardiovascular Health (17 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers) and Cancer, Lipids, and Metabolism (6 papers). Jaimini Cegla collaborates with scholars based in United Kingdom, United States and Australia. Jaimini Cegla's co-authors include Tricia Tan, R. Dermot G. Neely, Michael France, Ben Jones, Santica M. Marcovina, Stephen R. Bloom, D. Datta, Handrean Soran, Karim Meeran and Gordon A. Ferns and has published in prestigious journals such as The Lancet, Journal of the American College of Cardiology and Diabetes.

In The Last Decade

Jaimini Cegla

38 papers receiving 717 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaimini Cegla United Kingdom 13 462 302 153 101 95 41 740
Daniel Soffer United States 15 461 1.0× 421 1.4× 209 1.4× 91 0.9× 151 1.6× 41 979
Juan Patricio Nogueira Argentina 14 290 0.6× 315 1.0× 193 1.3× 17 0.2× 134 1.4× 66 684
Carlo Pirazzi Sweden 16 679 1.5× 570 1.9× 246 1.6× 18 0.2× 195 2.1× 29 1.5k
Paulina Gorzelak‐Pabiś Poland 14 211 0.5× 158 0.5× 95 0.6× 15 0.1× 158 1.7× 46 638
P J Lupien Canada 11 388 0.8× 245 0.8× 160 1.0× 20 0.2× 47 0.5× 14 694
D. Wile United Kingdom 14 424 0.9× 464 1.5× 132 0.9× 17 0.2× 198 2.1× 20 1.0k
Christian Hengstenberg Germany 20 216 0.5× 165 0.5× 242 1.6× 21 0.2× 367 3.9× 37 1.1k
Philip H. Frost United States 16 408 0.9× 612 2.0× 400 2.6× 25 0.2× 249 2.6× 22 1.2k
Christiane L. Haase Denmark 15 303 0.7× 550 1.8× 132 0.9× 13 0.1× 191 2.0× 23 850

Countries citing papers authored by Jaimini Cegla

Since Specialization
Citations

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

Fields of papers citing papers by Jaimini Cegla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaimini Cegla

This figure shows the co-authorship network connecting the top 25 collaborators of Jaimini Cegla. A scholar is included among the top collaborators of Jaimini Cegla 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 Jaimini Cegla. Jaimini Cegla 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.
2.
Arca, Marcello, Laura D’Erasmo, Marina Cuchel, et al.. (2025). Long-term experience with lomitapide treatment in patients with homozygous familial hypercholesterolemia: Over 10 years of efficacy and safety data. Journal of clinical lipidology. 19(4). 775–789. 4 indexed citations
3.
Cegla, Jaimini, et al.. (2025). Treatment of Homozygous Familial Hypercholesterolemia. JACC Advances. 4(5). 101708–101708. 1 indexed citations
4.
Walji, Shahenaz, et al.. (2024). Familial chylomicronaemia syndrome in pregnancy – report of two cases managed with plasma exchange. Obstetric Medicine. 18(3). 186–189.
5.
Neely, R. Dermot G., et al.. (2024). Lipoprotein(a) testing in lipid clinics across the UK: Results of a national survey. Journal of clinical lipidology. 18(3). e477–e481. 2 indexed citations
6.
Jones, Ben, Neil Rane, Mary E. Finnegan, et al.. (2024). Effect of evolocumab on carotid plaque composition in asymptomatic carotid artery stenosis (EVOCAR-1) using magnetic resonance imaging. Journal of clinical lipidology. 18(5). e855–e866.
7.
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
8.
Neely, R. Dermot G., et al.. (2023). The current status of lipoprotein (a) measurement in clinical biochemistry laboratories in the UK: Results of a 2021 national survey. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 61(3). 195–203.
9.
Blom, Dirk, Daniel Gaudet, Robert A. Hegele, et al.. (2022). A Case Series Assessing the Effects of Lomitapide on Carotid Intima-Media Thickness in Adult Patients with Homozygous Familial Hypercholesterolaemia in a Real-World Setting. Advances in Therapy. 39(4). 1857–1870. 12 indexed citations
10.
Howard, James P., Frances A. Wood, Judith A. Finegold, et al.. (2021). Side Effect Patterns in a Crossover Trial of Statin, Placebo, and No Treatment. Journal of the American College of Cardiology. 78(12). 1210–1222. 116 indexed citations
11.
Koch, Marion, Jaimini Cegla, Ben Jones, et al.. (2019). The effects of dyslipidaemia and cholesterol modulation on erythrocyte susceptibility to malaria parasite infection. Malaria Journal. 18(1). 381–381. 11 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.
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
14.
Avari, Parizad, et al.. (2018). Management of hypertriglyceridaemic pancreatitis in the acute setting and review of literature. BMJ Case Reports. 11(1). e227594–e227594. 9 indexed citations
15.
Cegla, Jaimini. (2015). The association between the use of proton pump inhibitors and the risk of hypomagnesemia: a systematic review and meta-analysis. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 52(2). 302–302. 4 indexed citations
16.
Cegla, Jaimini, et al.. (2015). Pharmacokinetics and pharmacodynamics of subcutaneously administered PYY3–36 and its analogues in vivo. The Lancet. 385. S28–S28. 4 indexed citations
17.
Cegla, Jaimini, R. Troke, Ben Jones, et al.. (2014). Coinfusion of Low-Dose GLP-1 and Glucagon in Man Results in a Reduction in Food Intake. Diabetes. 63(11). 3711–3720. 131 indexed citations
18.
Cegla, Jaimini, Tricia Tan, & Stephen R. Bloom. (2010). Gut–brain cross-talk in appetite regulation. Current Opinion in Clinical Nutrition & Metabolic Care. 13(5). 588–593. 11 indexed citations
19.
20.
Cegla, Jaimini, et al.. (2007). A perforated jejunal diverticulum. 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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