Stephanie Reading

26 papers receiving 624 citations

Peers

Stephanie Reading
Comparison fields: 5 of 88
  • Family Practice 27
  • Pharmacy 45
  • Cardiology and Cardiovascular Medicine 187
  • Clinical Psychology 156
  • Surgery 189
Replace Patricia McGuire with:
Patricia McGuire United States
Amy Laura Arnold United States
Dimitrios I. Athanasiadis United States
Tim Crayford United Kingdom
Karen Okrainec Canada
Anika L Hines United States
Tim Xu United States
Maarten J. Fischer Netherlands
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Frank Verheyen Germany
Stephanie Reading relative to Patricia McGuire United States Patricia McGuire's profile →
Citations per field
00.5×2.6×
Patricia McGuire · 1×
Citations per year

Countries citing papers authored by Stephanie Reading

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie Reading

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020109
2 2014106
3 202062
4 201755
5 200752
6 200545
7 201939
8 200932
9 201928
10 202026
11 199319
12 201916
13 202212
14 20219
15 20218
16 20215
17 20225
18 20213
19
Developing the role of the practice nurse in diabetic care.
19873
20 20223

About Stephanie Reading

Stephanie Reading is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Clinical Psychology, having authored 26 papers that have together received 645 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (8 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Acute Myocardial Infarction Research (4 papers), Pharmaceutical Economics and Policy (3 papers), Diabetes Management and Research (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Child Abuse and Trauma (2 papers) and Migration, Health and Trauma (2 papers). The work is most often cited by research in Family Practice (27 citations), Pharmacy (45 citations), Cardiology and Cardiovascular Medicine (187 citations), Clinical Psychology (156 citations) and Surgery (189 citations). Stephanie Reading has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Kristi Reynolds, Teresa N. Harrison, Rebecca Vivrette, John A. Fairbank, Christopher M. Layne, Robert S. Pynoos, Sarah A. Ostrowski, Ernestine C. Briggs, Matthew M. Clark and Soeun Kim. Their work appears in journals such as Journal of the American Heart Association, Clinical Epidemiology, Cancer Causes & Control, Psychological Trauma Theory Research Practice and Policy and Circulation.

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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