Daniel Pettitt

727 citations
15 papers · 585 · h-index 10

Impact in

Papers in

    • Lipoproteins and Cardiovascular Health 4
    • Helicobacter pylori-related gastroenterology studies 3
    • Inflammatory mediators and NSAID effects 4

Daniel Pettitt

15 papers receiving 545 citations

Peers

Daniel Pettitt
Comparison fields: 5 of 74
  • Family Practice 45
  • Geriatrics and Gerontology 55
  • Economics and Econometrics 218
  • Nephrology 48
  • Endocrinology, Diabetes and Metabolism 104
Replace Magdalena Rosell with:
Magdalena Rosell Spain
Curt D. Furberg United States
Helen Lau United States
Ylenia Ingrasciotta Italy
Unchalee Permsuwan Thailand
Eni C. Okonofua United States
Steven P. Dunn United States
Luíz Carlos Santana Passos Brazil
Daniele Ugo Tari Italy
W S A Smellie United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Pettitt

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pettitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2006162
2 1997158
3 200660
4 200948
5 200141
6 200027
7 199921
8 199721
9 199617
10
The effect of nonsteroidal anti-inflammatory drugs on the use of gastroprotective medication in people with arthritis.
200113
11 20037
12 19974
13
The cost-effectiveness of preventing initial coronary events with pravastatin
19973
14 20002
15 20001

About Daniel Pettitt

Daniel Pettitt is a scholar working on Surgery, Pharmacology, Economics and Econometrics, Family Practice and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 585 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Inflammatory mediators and NSAID effects (4 papers), Helicobacter pylori-related gastroenterology studies (3 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Medication Adherence and Compliance (2 papers), Pharmaceutical Economics and Policy (2 papers) and Microscopic Colitis (2 papers). The work is most often cited by research in Family Practice (45 citations), Geriatrics and Gerontology (55 citations), Economics and Econometrics (218 citations), Nephrology (48 citations) and Endocrinology, Diabetes and Metabolism (104 citations). Daniel Pettitt has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include J. Jaime, Alistair McGuire, Wendy S. Klittich, John Norrie, John J.V. McMurray, Ian Ford, J. Shepherd, Douglas C. Bauer, Eric Vittinghoff and Tiffany Peng. Their work appears in journals such as Atherosclerosis, Cancer, Annals of Internal Medicine, American Journal of Perinatology and PharmacoEconomics.

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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