Jonathan E. Shaw

127.4k citations
571 papers · 82.7k indexed · 28 hit papers · h-index 97

Jonathan E. Shaw

557 papers receiving 79.8k citations

Hit Papers

The burden a...59620012026200920172.0k4.0k6.0k

Peers

Jonathan E. Shaw
Comparison fields: 5 of 216
  • Endocrinology, Diabetes and Metabolism 34.4k
  • Physiology 17.0k
  • Ophthalmology 4.2k
  • Public Health, Environmental and Occupational Health 13.3k
  • Nephrology 3.2k
Replace Paul Zimmet with:
Paul Zimmet Australia
Albert Hofman Netherlands
Lewis H. Kuller United States
JoAnn E. Manson United States
Bernard Rosner United States
Coen D.A. Stehouwer Netherlands
Meir J. Stampfer United States
Peter W.F. Wilson United States
Julie E. Buring United States
Edward W. Gregg United States
Jonathan E. Shaw relative to Paul Zimmet Australia Paul Zimmet's profile →
Citations per field
00.5×1.6×
Paul Zimmet · 1×
Citations per year

Countries citing papers authored by Jonathan E. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan E. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan E. Shaw. 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 Jonathan E. Shaw. The network helps show where Jonathan E. Shaw may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jonathan E. Shaw, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan E. Shaw Line = papers co-authored together Jonathan E. Shaw links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20256
3 20250
4 20250
5 20251
6 20243
7 20249
8 20232
9 202223
10 202141
11 20218
12 202012
13 201967
14 201932
15 201712
16 20154
17
The metabolic syndrome in children and adolescents ? an IDF consensus reportbreakdown →
20071547
18 200631
19 200651
20 20011

About Jonathan E. Shaw

Jonathan E. Shaw is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacy and Nephrology, having authored 571 papers that have together received 82.7k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (178 papers), Diabetes Management and Research (90 papers), Diabetes Treatment and Management (75 papers), Obesity, Physical Activity, Diet (65 papers), Diabetes Management and Education (57 papers), Nutritional Studies and Diet (48 papers), Diet and metabolism studies (44 papers) and Liver Disease Diagnosis and Treatment (41 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (34.4k citations), Physiology (17.0k citations) and Ophthalmology (4.2k citations). Jonathan E. Shaw has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Paul Zimmet, K. G. M. M. Alberti, K. G. M. M. Alberti, Leonor Guariguata, Richard Sicree, David Whiting, Suvi Karuranga, Belma Malanda, Dianna J. Magliano and João Fernandes. Their work appears in journals such as Diabetes Care, Diabetes Research and Clinical Practice, Diabetic Medicine, Diabetologia and The Medical Journal of Australia.

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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