Kenneth Shaw

2.9k citations
67 papers · 1.7k · h-index 23

Impact in

Papers in

Kenneth Shaw

62 papers receiving 1.6k citations

Peers

Kenneth Shaw
Comparison fields: 5 of 132
  • Endocrinology, Diabetes and Metabolism 496
  • Biochemistry 127
  • Neurology 315
  • Nephrology 147
  • Pharmacology 175
Replace Aleksandra Stefanović with:
Aleksandra Stefanović Serbia
Ming Zhou China
Hamid Najafipour Iran
Minoru Yasujima Japan
L Ferrara Italy
Angelina Passaro Italy
Reuven Zimlichman Israel
Tae Sun Park South Korea
D. Raccah France
Eduardo Tibiriçá Brazil
Kenneth Shaw relative to Aleksandra Stefanović Serbia Aleksandra Stefanović's profile →
Citations per field
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Aleksandra Stefanović · 1×
Citations per year

Countries citing papers authored by Kenneth Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kenneth 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 Kenneth Shaw Line = papers co-authored together Kenneth Shaw links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004185
2 1978180
3 2009172
4 1980118
5 198695
6 197473
7 199466
8 199960
9 200656
10 198952
11 197348
12 202340
13 198339
14 202239
15 199836
16 197336
17 197831
18 200828
19 200626
20 197625

About Kenneth Shaw

Kenneth Shaw is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Physiology, Surgery and Rheumatology, having authored 67 papers that have together received 1.7k indexed citations. Recurring topics across this work include Diabetes Management and Research (8 papers), Blood Pressure and Hypertension Studies (6 papers), Diabetes and associated disorders (5 papers), Diabetes Treatment and Management (5 papers), Robot Manipulation and Learning (5 papers), Chronic Kidney Disease and Diabetes (4 papers), Neurological disorders and treatments (4 papers) and Nitric Oxide and Endothelin Effects (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (496 citations), Biochemistry (127 citations), Neurology (315 citations), Nephrology (147 citations) and Pharmacology (175 citations). Kenneth Shaw has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include G M Stern, Andrew J. Lees, David W Laight, Gerald F. Watts, M. H. Cummings, Partha Kar, Harcharan K. Rooprai, Richard Morris, M. K. McAllen and Anna Polak. Their work appears in journals such as Diabetic Medicine, The Lancet, Diabetes Care, International Journal of Clinical Practice and Diabetes Technology & Therapeutics.

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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