A. G. Beckett

1.6k total citations
36 papers, 1.1k citations indexed

About

A. G. Beckett is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Epidemiology. According to data from OpenAlex, A. G. Beckett has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Surgery and 6 papers in Epidemiology. Recurrent topics in A. G. Beckett's work include Neurological and metabolic disorders (7 papers), Diabetes Management and Research (4 papers) and Diabetes and associated disorders (4 papers). A. G. Beckett is often cited by papers focused on Neurological and metabolic disorders (7 papers), Diabetes Management and Research (4 papers) and Diabetes and associated disorders (4 papers). A. G. Beckett collaborates with scholars based in United Kingdom and United States. A. G. Beckett's co-authors include Paresh Dandona, K. R. Hill, Angus Livingstone, Francesco Scaravilli, Clare J. Fowler, John G. Lewis, Prokar Dasgupta, Vijay Chandiramani, Praveen Anand and M. Harper and has published in prestigious journals such as The Lancet, European Urology and Journal of Clinical Pathology.

In The Last Decade

A. G. Beckett

35 papers receiving 1.0k citations

Peers

A. G. Beckett
Comparison fields: 5 of 107
  • Epidemiology 246
  • Surgery 220
  • Urology 204
  • Physiology 193
  • Endocrinology, Diabetes and Metabolism 170
Replace Stella O. Page with:
Stella O. Page United States
Gordon F. Anderson United States
Albert Stuart Reece Australia
J.M. Polak United States
Masood Khan United Kingdom
Maple M. Fung United States
J. W. W. Studd United Kingdom
Arnold M. Moses United States
Anna P. Malykhina United States
Minoru Miyazato Japan
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Citations per field, relative to A. G. Beckett
A. G. Beckett · 1×
Citations per year, relative to A. G. Beckett
A. G. Beckett · 1×

Countries citing papers authored by A. G. Beckett

Since Specialization
Citations

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

Fields of papers citing papers by A. G. Beckett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. G. Beckett. 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 A. G. Beckett. The network helps show where A. G. Beckett may publish in the future.

Co-authorship network of co-authors of A. G. Beckett

This figure shows the co-authorship network connecting the top 25 collaborators of A. G. Beckett. A scholar is included among the top collaborators of A. G. Beckett 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 A. G. Beckett. A. G. Beckett 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
# Work Indexed citations
1 166
2 109
3 40
4 44
5 33
6 14
7 1
8 1
9 55
10 7
11 50
12 14
13 137
14 38
15 3
16 4
17 27
18 10
19 0
20 5

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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