Ken Paterson

1.3k citations
46 papers · 780 · h-index 16

Impact in

    • Gastrointestinal motility and disorders
    • Diabetes Management and Research
    • Diabetes Treatment and Management
    • Diabetes, Cardiovascular Risks, and Lipoproteins
    • Hyperglycemia and glycemic control in critically ill and hospitalized patients

Papers in

Ken Paterson

45 papers receiving 742 citations

Peers

Ken Paterson
Comparison fields: 5 of 107
  • Gastroenterology 114
  • Endocrinology, Diabetes and Metabolism 213
  • Nephrology 84
  • Pharmacy 18
  • Geriatrics and Gerontology 12
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Countries citing papers authored by Ken Paterson

Since Specialization
Citations

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

Fields of papers citing papers by Ken Paterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Psychological treatments for irritable bowel syndrome: a critique of controlled treatment trials.
1996118
2 198697
3 198947
4 201240
5 200236
6 200429
7 198829
8 200728
9 199325
10 199125
11 200624
12 198421
13 199321
14
Blood glucose prediction for diabetes therapy using a recurrent artificial neural network
199817
15 199316
16 199116
17 200715
18 198615
19 200714
20 198711

About Ken Paterson

Ken Paterson is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Pulmonary and Respiratory Medicine, Obstetrics and Gynecology and Genetics, having authored 46 papers that have together received 780 indexed citations. Recurring topics across this work include Diabetes Management and Research (14 papers), Diabetes Treatment and Management (8 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (7 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Pharmaceutical Economics and Policy (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Gestational Diabetes Research and Management (4 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Gastroenterology (114 citations), Endocrinology, Diabetes and Metabolism (213 citations), Nephrology (84 citations), Pharmacy (18 citations) and Geriatrics and Gerontology (12 citations). Ken Paterson has collaborated with scholars based in United Kingdom, Sweden and Italy. Frequent co-authors include Nicholas J. Talley, Philip Boyce, A C MacCuish, David H. Lawson, Nicola Joss, Sandra MacRury, Jennifer M. Gray, Thomas M. Donnelly, A. S. Hutchison and J. M. Boulton‐Jones. Their work appears in journals such as Diabetic Medicine, QJM, Diabetes Obesity and Metabolism, Annals of Clinical Biochemistry International Journal of Laboratory Medicine and Postgraduate Medical Journal.

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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