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.
Global estimates of diabetes prevalence for 2013 and projections for 2035
20133.6k citationsLeonor Guariguata, David Whiting et al.Diabetes Research and Clinical Practiceprofile →
NCD Countdown 2030: worldwide trends in non-communicable disease mortality and progress towards Sustainable Development Goal target 3.4
2018816 citationsJames E. Bennett, Gretchen A Stevens et al.The Lancetprofile →
Global estimates of the prevalence of hyperglycaemia in pregnancy
2013469 citationsLeonor Guariguata, Ute Linnenkamp et al.Diabetes Research and Clinical Practiceprofile →
Global estimates of undiagnosed diabetes in adults
2013420 citationsJessica Beagley, Leonor Guariguata et al.Diabetes Research and Clinical Practiceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Jessica Beagley
Since
Specialization
Citations
This map shows the geographic impact of Jessica Beagley'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 Jessica Beagley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jessica Beagley more than expected).
This network shows the impact of papers produced by Jessica Beagley. 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 Jessica Beagley. The network helps show where Jessica Beagley may publish in the future.
Co-authorship network of co-authors of Jessica Beagley
This figure shows the co-authorship network connecting the top 25 collaborators of Jessica Beagley.
A scholar is included among the top collaborators of Jessica Beagley 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 Jessica Beagley. Jessica Beagley is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Barros, Enrique, Mathias Bressel, Sandra Hacon, et al.. (2019). Lancet Countdown. SHILAP Revista de lepidopterología. 14(41). 2286–2286.9 indexed citations
6.
Bennett, James E., Gretchen A Stevens, Colin Mathers, et al.. (2018). NCD Countdown 2030: worldwide trends in non-communicable disease mortality and progress towards Sustainable Development Goal target 3.4. The Lancet. 392(10152). 1072–1088.816 indexed citations breakdown →
7.
Guariguata, Leonor, et al.. (2013). Global estimates of the prevalence of hyperglycaemia in pregnancy. Diabetes Research and Clinical Practice. 103(2). 176–185.469 indexed citations breakdown →
8.
Beagley, Jessica, Leonor Guariguata, Clara Weil, & Ayesha A. Motala. (2013). Global estimates of undiagnosed diabetes in adults. Diabetes Research and Clinical Practice. 103(2). 150–160.420 indexed citations breakdown →
9.
Yisahak, Samrawit F., Jessica Beagley, Ian Hambleton, & K.M. Venkat Narayan. (2013). Diabetes in North America and The Caribbean: An update. Diabetes Research and Clinical Practice. 103(2). 223–230.44 indexed citations
10.
Guariguata, Leonor, David Whiting, Ian Hambleton, et al.. (2013). Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Research and Clinical Practice. 103(2). 137–149.3554 indexed citations breakdown →
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.