N Waugh

658 citations
11 papers · 502 · h-index 7

Impact in

    • Diabetes, Cardiovascular Risks, and Lipoproteins
    • Diabetes Management and Research
    • Diabetes Management and Education
    • Diabetes Treatment and Management
  • Rheumatology top 10%
    • Osteoarthritis Treatment and Mechanisms

Papers in

N Waugh

11 papers receiving 466 citations

Peers

N Waugh
Comparison fields: 5 of 96
  • Endocrinology, Diabetes and Metabolism 124
  • Rheumatology 73
  • Urology 22
  • Pharmacy 11
  • Nephrology 14
Replace Aarthi Balasubramanyam with:
Aarthi Balasubramanyam United States
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Ki Hyun Park South Korea
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N Waugh relative to Aarthi Balasubramanyam United States Aarthi Balasubramanyam's profile →
Citations per field
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Aarthi Balasubramanyam · 1×
Citations per year

Countries citing papers authored by N Waugh

Since Specialization
Citations

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

Fields of papers citing papers by N Waugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2007238
2 2005171
3 199229
4
Review of economics studies
201123
5 199718
6
Pegylated interferon α-2a and -2b in combination with ribavirin in the treatment of chronic hepatitis C: a systematic review and economic evaluation
20049
7
Grading of scientific evidence--a discussion paper from SHPIC.
19996
8 20075
9
Costing of healthcare for improving effectiveness.
19991
10
Long-acting exenatide in the treatment of type 2 diabetes: a single technology appraisal
20111
11
Modifiable risk factors for type 2 diabetes mellitus
20121

About N Waugh

N Waugh is a scholar working on Endocrinology, Diabetes and Metabolism, Economics and Econometrics, Surgery, Cardiology and Cardiovascular Medicine and Health Information Management, having authored 11 papers that have together received 502 indexed citations. Recurring topics across this work include Autopsy Techniques and Outcomes (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Economic Growth and Productivity (1 paper), Clinical practice guidelines implementation (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Medical Coding and Health Information (1 paper) and Hepatitis C virus research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (124 citations), Rheumatology (73 citations), Urology (22 citations), Pharmacy (11 citations) and Nephrology (14 citations). N Waugh has collaborated with scholars based in United Kingdom. Frequent co-authors include Generation Scotland, Alan Brennan, Paul McNamee, Michael P.T. Gillett, Ann John, R. Williams, Elizabeth Goyder, Christine Clar, E Cummins and Siân Thomas. Their work appears in journals such as Health Technology Assessment, British Journal of Cancer, Cochrane Database of Systematic Reviews, PubMed and Bristol Research (University of Bristol).

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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