Carol Percival

713 total citations
8 papers, 549 citations indexed

About

Carol Percival is a scholar working on Cardiology and Cardiovascular Medicine, Social Psychology and General Health Professions. According to data from OpenAlex, Carol Percival has authored 8 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 2 papers in Social Psychology and 2 papers in General Health Professions. Recurrent topics in Carol Percival's work include Cardiac Health and Mental Health (6 papers), Heart Failure Treatment and Management (5 papers) and Mental Health Treatment and Access (2 papers). Carol Percival is often cited by papers focused on Cardiac Health and Mental Health (6 papers), Heart Failure Treatment and Management (5 papers) and Mental Health Treatment and Access (2 papers). Carol Percival collaborates with scholars based in United Kingdom and United States. Carol Percival's co-authors include Francis Creed, Barbara Tomenson, Linda McGowan, Chris Dickens, Anthony M. Heagerty, Lawrence Cotter, Richard Gater, J.F.W. Deakin, Joanne Dixon and Paul Strickland and has published in prestigious journals such as Journal of the American College of Cardiology, The British Journal of Psychiatry and Psychosomatic Medicine.

In The Last Decade

Carol Percival

8 papers receiving 530 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Carol Percival United Kingdom 8 296 137 112 100 95 8 549
Daniel Preckel Switzerland 12 206 0.7× 175 1.3× 103 0.9× 81 0.8× 270 2.8× 17 666
Nicolas J. C. Stapelberg Australia 14 193 0.7× 87 0.6× 113 1.0× 210 2.1× 116 1.2× 36 649
Marie‐Louise Gander Switzerland 13 201 0.7× 206 1.5× 71 0.6× 246 2.5× 128 1.3× 17 651
May Blom Sweden 11 395 1.3× 202 1.5× 72 0.6× 60 0.6× 63 0.7× 14 613
Hamimatunnisa Johar Germany 14 128 0.4× 91 0.7× 70 0.6× 94 0.9× 74 0.8× 38 559
Beth Cohen United States 5 177 0.6× 69 0.5× 49 0.4× 93 0.9× 72 0.8× 5 470
C. Simeone Italy 7 430 1.5× 104 0.8× 79 0.7× 48 0.5× 32 0.3× 26 638
Luljeta Emini Switzerland 10 108 0.4× 72 0.5× 81 0.7× 103 1.0× 244 2.6× 10 495
Titia A. Spijkerman Netherlands 7 1.1k 3.7× 263 1.9× 226 2.0× 123 1.2× 44 0.5× 7 1.3k
Redford B. Williams United States 6 225 0.8× 49 0.4× 44 0.4× 72 0.7× 77 0.8× 6 419

Countries citing papers authored by Carol Percival

Since Specialization
Citations

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

Fields of papers citing papers by Carol Percival

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol Percival

This figure shows the co-authorship network connecting the top 25 collaborators of Carol Percival. A scholar is included among the top collaborators of Carol Percival based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carol Percival. Carol Percival is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Dickens, Chris, Linda McGowan, Carol Percival, et al.. (2008). Negative illness perceptions are associated with new-onset depression following myocardial infarction. General Hospital Psychiatry. 30(5). 414–420. 54 indexed citations
2.
Gater, Richard, Barbara Tomenson, Carol Percival, et al.. (2008). Persistent depressive disorders and social stress in people of Pakistani origin and white Europeans in UK. Social Psychiatry and Psychiatric Epidemiology. 44(3). 198–207. 58 indexed citations
3.
Dickens, Chris, Linda McGowan, Carol Percival, et al.. (2008). New Onset Depression Following Myocardial Infarction Predicts Cardiac Mortality. Psychosomatic Medicine. 70(4). 450–455. 94 indexed citations
4.
Dickens, Chris, Linda McGowan, Carol Percival, et al.. (2007). Depression Is a Risk Factor for Mortality After Myocardial Infarction. Journal of the American College of Cardiology. 49(18). 1834–1840. 46 indexed citations
5.
Dickens, Chris, Linda McGowan, Carol Percival, et al.. (2006). Contribution of depression and anxiety to impaired health-related quality of life following first myocardial infarction. The British Journal of Psychiatry. 189(4). 367–372. 72 indexed citations
6.
Dickens, Chris, Linda McGowan, Carol Percival, et al.. (2005). Association Between Depressive Episode Before First Myocardial Infarction and Worse Cardiac Failure Following Infarction. Psychosomatics. 46(6). 523–528. 23 indexed citations
7.
McGowan, Linda, et al.. (2004). The relationship between vital exhaustion, depression and comorbid illnesses in patients following first myocardial infarction. Journal of Psychosomatic Research. 57(2). 183–188. 70 indexed citations
8.
Strickland, Paul, J.F.W. Deakin, Carol Percival, et al.. (2002). Bio-social origins of depression in the community. The British Journal of Psychiatry. 180(2). 168–173. 132 indexed citations

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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