John Shaw

32 papers receiving 607 citations

Peers

John Shaw
Comparison fields: 5 of 115
  • Family Practice 20
  • Endocrinology, Diabetes and Metabolism 147
  • Cardiology and Cardiovascular Medicine 153
  • Surgery 233
  • Physiology 128
Replace Kai-Lin Catherine Jen with:
Kai-Lin Catherine Jen United States
Nigel Sturrock United Kingdom
Alan L. Graber United States
Philip Dyer United Kingdom
Rahul Potluri United Kingdom
James M. Gray United States
Ruth L. Collins-Nakai Canada
Veikko Salomaa Finland
Dara P. Schuster United States
Rokhsareh Aghili Iran
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Citations per field
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Kai-Lin Catherine Jen · 1×
Citations per year

Countries citing papers authored by John Shaw

Since Specialization
Citations

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

Fields of papers citing papers by John Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002195
2 200066
3 198654
4 198746
5 197440
6 197032
7 198428
8 198827
9 198123
10 198423
11
Inpatients' use, understanding, and attitudes towards traditional, complementary and alternative therapies at a provincial New Zealand hospital.
200821
12 198417
13 198512
14 198512
15 19859
16 20058
17 19938
18 20148
19 19876
20 19605

About John Shaw

John Shaw is a scholar working on Physiology, Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 34 papers that have together received 664 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (6 papers), Heart Rate Variability and Autonomic Control (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Receptor Mechanisms and Signaling (3 papers), Pharmacological Effects and Assays (3 papers), Pharmaceutical studies and practices (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and School Health and Nursing Education (2 papers). The work is most often cited by research in Family Practice (20 citations), Endocrinology, Diabetes and Metabolism (147 citations), Cardiology and Cardiovascular Medicine (153 citations), Surgery (233 citations) and Physiology (128 citations). John Shaw has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Philip Ley, David Colquhoun, Anthony Keech, Andrew Tonkin, Harvey D. White, Wendy Hague, J. Paul Seale, Ian C. Marschner, Ralph Stewart and Peter Thompson. Their work appears in journals such as European Journal of Pharmacology, The Medical Journal of Australia, Journal of School Health, International Archives of Allergy and Immunology and Circulation Research.

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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