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.
Development and progression of nephropathy in type 2 diabetes: The United Kingdom Prospective Diabetes Study (UKPDS 64)
20031.3k citationsAmanda Adler, Richard Stevens et al.Kidney Internationalprofile →
Risk Factors for Renal Dysfunction in Type 2 Diabetes
2006731 citationsC A Cull, Amanda Adler et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of C A Cull'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 C A Cull with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C A Cull more than expected).
This network shows the impact of papers produced by C A Cull. 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 C A Cull. The network helps show where C A Cull may publish in the future.
Co-authorship network of co-authors of C A Cull
This figure shows the co-authorship network connecting the top 25 collaborators of C A Cull.
A scholar is included among the top collaborators of C A Cull 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 C A Cull. C A Cull is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bottazzo, G. F., Emanuele Bosi, C A Cull, et al.. (2005). IA-2 antibody prevalence and risk assessment of early insulin requirement in subjects presenting with type 2 diabetes (UKPDS 71) (vol 48, pg 703, 2005). Diabetologia. 48. 1240–1240.3 indexed citations
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
9.
Burden, A C, Alex Wright, C A Cull, Richard Paisey, & Rury R. Holman. (2003). Sulfonylurea Inadequacy Efficacy of addition of insulin over 6 years in patients with type 2 diabetes in the U.K. Prospective Diabetes Study (UKPDS 57). Przewodnik Lekarza/Guide for GPs. 5(11). 40–52.30 indexed citations
10.
Adler, Amanda, Richard Stevens, Susan E. Manley, et al.. (2003). Development and progression of nephropathy in type 2 diabetes: The United Kingdom Prospective Diabetes Study (UKPDS 64). Kidney International. 63(1). 225–232.1289 indexed citations breakdown →
Cull, C A, et al.. (1999). Plasma lipids and hypoglycaemic therapies over 6 years in Type 2 diabetic patients in the UKPDS. Diabetologia. 42.1 indexed citations
18.
Holman, R R, et al.. (1995). Authors' reply. BMJ. 310(6985). 1006.1–1006.1.2 indexed citations
19.
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
20.
Cull, C A, Susan E. Manley, Valeria Frighi, Rury R. Holman, & R. C. Turner. (1993). UK PROSPECTIVE DIABETES STUDY (UKPDS) .10. URINARY ALBUMIN EXCRETION OVER 3 YEARS IN DIET-TREATED TYPE-2, (NON-INSULIN-DEPENDENT) DIABETIC-PATIENTS, AND ASSOCIATION WITH HYPERTENSION, HYPERGLYCEMIA AND HYPERTRIGLYCERIDEMIA. Diabetologia. 36. 1021–1029.69 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.