N Waugh

655 citations
11 papers · 470 · h-index 7

Impact in

Papers in

N Waugh

11 papers receiving 440 citations

Peers

N Waugh
Comparison fields: 5 of 105
  • Endocrinology, Diabetes and Metabolism 164
  • Rheumatology 78
  • Pharmacy 25
  • Urology 23
  • Nephrology 19
Replace Jyotika K. Fernandes with:
Jyotika K. Fernandes United States
Shrikant Tamhane United States
Christopher T. Chen United States
H.J. Smeets Netherlands
Sergio Iannazzo Italy
Abraham Tsur Israel
Ivor Cavill United Kingdom
Aarthi Balasubramanyam United States
Danuta Dynda United States
Lesley-Ann Miller United States
N Waugh relative to Jyotika K. Fernandes United States Jyotika K. Fernandes's profile →
Citations per field
00.5×4.9×
Jyotika K. Fernandes · 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 2007226
2 2005157
3 199229
4
Review of economics studies
201121
5 199717
6
Pegylated interferon α-2a and -2b in combination with ribavirin in the treatment of chronic hepatitis C: a systematic review and economic evaluation
20047
7
Grading of scientific evidence--a discussion paper from SHPIC.
19996
8 20074
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 Economics and Econometrics, Surgery, Public Health, Environmental and Occupational Health, Nephrology and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 470 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (3 papers), Clinical practice guidelines implementation (2 papers), Chronic Kidney Disease and Diabetes (1 paper), Hip and Femur Fractures (1 paper), Autopsy Techniques and Outcomes (1 paper), Medical Coding and Health Information (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper) and Healthcare cost, quality, practices (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (164 citations), Rheumatology (78 citations), Pharmacy (25 citations), Urology (23 citations) and Nephrology (19 citations). N Waugh has collaborated with scholars based in United Kingdom. Frequent co-authors include R. Williams, Michael P.T. Gillett, Alan Brennan, Ann John, Generation Scotland, Elizabeth Goyder, Paul McNamee, Christine Clar, Paresh Jobanputra 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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