Kenneth Shaw

2.9k citations
69 papers · 1.9k · h-index 23

Impact in

    • Diabetes Treatment and Management
    • Diabetes Management and Research
    • Diabetes, Cardiovascular Risks, and Lipoproteins
  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments

Papers in

Kenneth Shaw

64 papers receiving 1.7k citations

Peers

Kenneth Shaw
Comparison fields: 5 of 132
  • Endocrinology, Diabetes and Metabolism 425
  • Neurology 337
  • Nephrology 144
  • Biochemistry 120
  • Biological Psychiatry 27
Replace Aleksandra Stefanović with:
Aleksandra Stefanović Serbia
Hamid Najafipour Iran
Mohammad Khaksari Iran
Reuven Zimlichman Israel
Tae Sun Park South Korea
Minoru Yasujima Japan
Zhaoping Li China
Dongmei Liu China
L Ferrara Italy
Ding‐Feng Su China
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Citations per field
00.5×3.4×
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 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978214
2 2004195
3 2009189
4 1980127
5 198698
6 197479
7 199469
8 199964
9 200657
10 198953
11 202349
12 197349
13 198345
14 202241
15 197337
16 199836
17 197836
18 200829
19 197629
20 200626

About Kenneth Shaw

Kenneth Shaw is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Cardiology and Cardiovascular Medicine, Surgery and Neurology, having authored 69 papers that have together received 1.9k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (5 papers), Diabetes Management and Research (5 papers), Robot Manipulation and Learning (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Neurological disorders and treatments (4 papers), Folate and B Vitamins Research (4 papers), Diabetes Treatment and Management (4 papers) and Diabetes Management and Education (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (425 citations), Neurology (337 citations), Nephrology (144 citations), Biochemistry (120 citations) and Biological Psychiatry (27 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, M. K. McAllen, Richard Morris and M. Sandler. Their work appears in journals such as Diabetic Medicine, The Lancet, Diabetes Care, International Journal of Clinical Practice and British Journal of Clinical Pharmacology.

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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