Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Use and Abuse of HOMA Modeling
20044.1k citationsJ Lévy, David R. Matthews et al.Diabetes Careprofile →
Large-Scale Association Studies of Variants in Genes Encoding the Pancreatic β-Cell KATP Channel Subunits Kir6.2 (KCNJ11) and SUR1 (ABCC8) Confirm That the KCNJ11 E23K Variant Is Associated With Type 2 Diabetes
2003538 citationsG. A. Hitman, Mark Walker et al.profile →
Addition of Biphasic, Prandial, or Basal Insulin to Oral Therapy in Type 2 Diabetes
2007529 citationsRury R. Holman, Andrew Farmer et al.profile →
Three-Year Efficacy of Complex Insulin Regimens in Type 2 Diabetes
2009502 citationsRury R. Holman, Andrew Farmer et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
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This map shows the geographic impact of J Lévy'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 J Lévy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Lévy more than expected).
This network shows the impact of papers produced by J Lévy. 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 J Lévy. The network helps show where J Lévy may publish in the future.
Co-authorship network of co-authors of J Lévy
This figure shows the co-authorship network connecting the top 25 collaborators of J Lévy.
A scholar is included among the top collaborators of J Lévy 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 J Lévy. J Lévy is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hirst, Jane E., Lucy Mackillop, Lise Loerup, et al.. (2015). GDm-health: development of a real-time smartphone solution for the management of women with gestational diabetes mellitus (GDM). British Journal of Obstetrics and Gynaecology. 122. 403–403.2 indexed citations
4.
Loerup, Lise, Oliver Gibson, Jane E. Hirst, et al.. (2015). A comparison of blood glucose metrics to assess the feasibility of a digital health system for management of women with gestational diabetes: the GDm-Health study. Diabetic Medicine. 32. 18–19.1 indexed citations
5.
Loerup, Lise, Jane E. Hirst, Lucy Mackillop, et al.. (2014). GDm-Health: a pilot study examining acceptability of mobile phone assisted remote blood glucose monitoring for women with gestational diabetes. Diabetic Medicine. 31. 147–147.1 indexed citations
6.
Loerup, Lise, Oliver Gibson, Jane E. Hirst, et al.. (2013). GDm-Health: telehealth for remote monitoring and treatment of gestational diabetes. Diabetologia. 56.
Zarraoa, N., et al.. (2006). The Benefits of Multi-constellation GNSS Augmentations. Proceedings of the 19th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2006). 930–938.6 indexed citations
11.
Ruf, Christopher S., et al.. (2005). EGNOS Performance at System ORR. Proceedings of the 18th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2005). 2328–2336.1 indexed citations
12.
Singh, Rinki, Ewan R. Pearson, Peter Avery, et al.. (2005). Reduced beta cell function in offspring of mothers with young onset type 2 diabetes. Pediatric Research. 58. 1030–1031.3 indexed citations
13.
Williams, Alistair J.K., P. J. Bingley, J Lévy, et al.. (2004). GAD65 autoantibody titres at diagnosis in Latent Autoimmune Diabetes in Adults (LADA) differ from Type 1 diabetes (T1D) and together with epitope specificity predict insulin requirement. Diabetologia. 47.1 indexed citations
14.
Stratton, Irene, et al.. (2001). Variation at the insulin VNTR locus but not the CTLA-4 locus is associated with age of onset and need for insulin therapy in latent autoimmune diabetes in adults (LADA). Diabetologia. 44.
15.
Powell, Derek, Andrew T. Hattersley, Matthews, et al.. (1999). Apolipoprotein E genotype is not associated with islet amyloid as assessed by disease severity in type 2 diabetes.. Diabetologia. 42.1 indexed citations
16.
Rachman, Jonathan, J Lévy, B. Barrow, et al.. (1996). Post-prandial amylin concentrations are increased by sulphonylurea, but unchanged by basal insulin, in NIDDM. Diabetologia. 39. 565–565.2 indexed citations
Lévy, J, C A Cull, Irene Stratton, R R Holman, & R. C. Turner. (1993). [The UKPDS study on glycemic control and arterial hypertension in type II diabetes: objectives, structure and preliminary results].. PubMed. 123–37.2 indexed citations
19.
Turner, R. C., J Lévy, & Anne Clark. (1993). Complex genetics of type 2 diabetes: thrifty genes and previously neutral polymorphisms.. PubMed. 86(7). 413–7.24 indexed citations
20.
Lévy, J, et al.. (1992). GLUCOSE-TOLERANCE AND BETA-CELL FUNCTION ASSESSED BY CONTINUOUS INFUSION OF GLUCOSE AND ORAL GLUCOSE-TOLERANCE TEST. Diabetologia. 35.4 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.