Stephen Harrison

24 papers receiving 1.4k citations

Peers

Stephen Harrison
Comparison fields: 5 of 113
  • Developmental Neuroscience 59
  • Health Information Management 55
  • Molecular Biology 779
  • Physiology 49
  • Pharmacology 165
Replace Chester Brown with:
Chester Brown United States
Roisín M. Connolly United States
Laura Sciacca Italy
Jacob C. Easaw Canada
Markus Ries Germany
Matt Elliott United States
David C. Budd United Kingdom
Meredith Allen United Kingdom
Christopher N Hahn Australia
James G. Jackson United States
Stephen Harrison relative to Chester Brown United States Chester Brown's profile →
Citations per field
00.5×6.9×
Chester Brown · 1×
Citations per year

Countries citing papers authored by Stephen Harrison

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Harrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997315
2 2005287
3 2002130
4 2002109
5 2000107
6
Controlling Health Professionals
199487
7 199565
8 198861
9 200349
10 200944
11 199540
12 197335
13 200826
14 202321
15 200818
16 199515
17 199914
18 200912
19
National health insurance: Vision, challenges, and potential solutions.
20196
20
Can patient-centred professionalism be engendered in young pharmacists?
20116

About Stephen Harrison

Stephen Harrison is a scholar working on Surgery, Molecular Biology, Economics and Econometrics, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiovascular, Neuropeptides, and Oxidative Stress Research (5 papers), Apelin-related biomedical research (3 papers), Forensic Toxicology and Drug Analysis (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Healthcare Policy and Management (2 papers), Cardiovascular Disease and Adiposity (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Developmental Neuroscience (59 citations), Health Information Management (55 citations), Molecular Biology (779 citations), Physiology (49 citations) and Pharmacology (165 citations). Stephen Harrison has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Sally L. Dunwoodie, Rosa Beddington, Domingos Henrique, Denis Houzelstein, Bernard Zalc, Marie‐Stéphane Aigrot, Kozo Kaibuchi, Catherine Lubetzki, Bruno Stankoff and Nariko Arimura. Their work appears in journals such as British Journal of Pharmacology, Development, Endocrinology, Journal of Neuroscience and Developmental Biology.

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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