Joan Duer-Hefele

10.3k total citations
18 papers, 182 citations indexed

About

Joan Duer-Hefele is a scholar working on General Health Professions, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Joan Duer-Hefele has authored 18 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in General Health Professions, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Joan Duer-Hefele's work include Cardiac Health and Mental Health (6 papers), Behavioral Health and Interventions (5 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). Joan Duer-Hefele is often cited by papers focused on Cardiac Health and Mental Health (6 papers), Behavioral Health and Interventions (5 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). Joan Duer-Hefele collaborates with scholars based in United States, Netherlands and Canada. Joan Duer-Hefele's co-authors include Karina W. Davidson, Ian M. Kronish, Joseph E. Schwartz, Carmela Alcántara, Matthew M. Burg, Keith M. Diaz, Nathalie Moise, Gregory N. Clarke, Karen L. Margolis and Rowena J Dolor and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Clinical Epidemiology and Health Psychology.

In The Last Decade

Joan Duer-Hefele

13 papers receiving 175 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joan Duer-Hefele United States 7 51 47 39 35 31 18 182
Sinclair Carr Canada 9 82 1.6× 15 0.3× 87 2.2× 29 0.8× 41 1.3× 14 362
Alejandro Domínguez-Rodríguez Mexico 8 38 0.7× 22 0.5× 70 1.8× 39 1.1× 44 1.4× 30 164
Della Bailey United Kingdom 10 77 1.5× 12 0.3× 44 1.1× 30 0.9× 37 1.2× 17 223
Kirsten M van Steenbergen-Weijenburg Netherlands 7 85 1.7× 39 0.8× 67 1.7× 18 0.5× 15 0.5× 10 346
Erin M. Staab United States 9 57 1.1× 13 0.3× 26 0.7× 29 0.8× 15 0.5× 38 232
Sabine Johnson United States 8 99 1.9× 64 1.4× 72 1.8× 27 0.8× 20 0.6× 13 271
Thomas Reijnders Netherlands 10 95 1.9× 46 1.0× 20 0.5× 48 1.4× 38 1.2× 26 262
Jen Kruger United Kingdom 8 66 1.3× 15 0.3× 20 0.5× 51 1.5× 44 1.4× 14 315
Meiling Qi China 6 56 1.1× 16 0.3× 102 2.6× 22 0.6× 68 2.2× 23 239
Leslie Hazel‐Fernandez United States 10 28 0.5× 22 0.5× 46 1.2× 9 0.3× 8 0.3× 13 331

Countries citing papers authored by Joan Duer-Hefele

Since Specialization
Citations

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

Fields of papers citing papers by Joan Duer-Hefele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan Duer-Hefele. 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 Joan Duer-Hefele. The network helps show where Joan Duer-Hefele may publish in the future.

Co-authorship network of co-authors of Joan Duer-Hefele

This figure shows the co-authorship network connecting the top 25 collaborators of Joan Duer-Hefele. A scholar is included among the top collaborators of Joan Duer-Hefele 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 Joan Duer-Hefele. Joan Duer-Hefele is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
3.
Chiuzan, Codruța, et al.. (2024). Protocol for a personalized (N-of-1) trial for testing the effects of a mind–body intervention on sleep duration in middle-aged women working in health care. Contemporary Clinical Trials Communications. 41. 101364–101364. 1 indexed citations
4.
Friel, Ciarán P, Mark Butler, Joan Duer-Hefele, et al.. (2024). Feasibility Test of Personalized (N-of-1) Trials for Increasing Middle-Aged and Older Adults’ Physical Activity. International Journal of Behavioral Medicine. 32(3). 394–404.
5.
Friel, Ciarán P, Mark Butler, Joan Duer-Hefele, et al.. (2023). Testing Behavior Change Techniques to Increase Physical Activity in Middle-Aged and Older Adults: Protocol for a Randomized Personalized Trial Series. JMIR Research Protocols. 12. e43418–e43418. 3 indexed citations
6.
Suls, Jerry, Ciarán P Friel, Mark Butler, et al.. (2023). Protocol of a feasibility study of a virtual personalized (N-of-1) trial for increasing low-intensity physical activity in older adults via habit formation. Contemporary Clinical Trials Communications. 33. 101135–101135.
7.
Marrast, Lyndonna, Joseph Conigliaro, Eun Ji Kim, et al.. (2021). Racial and Ethnic Minority Patient Participation in N-of-1 Trials: Perspectives of Healthcare Providers and Patients. Personalized Medicine. 18(4). 347–359. 4 indexed citations
8.
Wang, Y Claire, Elizabeth Brondolo, Michaela Kiernan, et al.. (2021). Introducing the MAVEN Leadership Training Initiative to diversify the scientific workforce. eLife. 10. 5 indexed citations
9.
Derby, Lilly, Ian M. Kronish, Elizabeth Cohn, et al.. (2021). Using a multistakeholder collaboratory and patient surveys to inform the conduct of personalized (N-of-1) trials.. Health Psychology. 40(4). 230–241. 6 indexed citations
10.
Sumner, Jennifer A., Joseph E. Schwartz, Matthew M. Burg, et al.. (2021). Anhedonic Depression Is Not Associated With Risk of Recurrent Major Adverse Cardiac Events and All-Cause Mortality in Acute Coronary Syndrome Patients. Annals of Behavioral Medicine. 57(2). 155–164. 1 indexed citations
11.
Cheung, Ying Kuen, Ty A. Ridenour, Lilly Derby, et al.. (2020). Personal preferences for Personalised Trials among patients with chronic diseases: an empirical Bayesian analysis of a conjoint survey. BMJ Open. 10(6). e036056–e036056. 12 indexed citations
13.
14.
Kronish, Ian M., Nathalie Moise, Ying Kuen Cheung, et al.. (2019). Effect of Depression Screening After Acute Coronary Syndromes on Quality of Life. JAMA Internal Medicine. 180(1). 45–45. 33 indexed citations
15.
Moise, Nathalie, Naihua Duan, Joan Duer-Hefele, et al.. (2018). Patient preferences for personalized (N-of-1) trials: a conjoint analysis. Journal of Clinical Epidemiology. 102. 12–22. 14 indexed citations
16.
Burg, Matthew M., Joseph E. Schwartz, Ian M. Kronish, et al.. (2017). Does Stress Result in You Exercising Less? Or Does Exercising Result in You Being Less Stressed? Or Is It Both? Testing the Bi-directional Stress-Exercise Association at the Group and Person (N of 1) Level. Annals of Behavioral Medicine. 51(6). 799–809. 65 indexed citations
17.
Ho, Vy T., Daichi Shimbo, Joan Duer-Hefele, et al.. (2016). Posttraumatic stress disorder symptoms and hypercoagulability during emergency department evaluation for acute coronary syndrome. PubMed. 11. 1–2. 3 indexed citations
18.
Whang, William, Matthew M. Burg, Robert M. Carney, et al.. (2012). Design and baseline data from the vanguard of the Comparison of Depression Interventions after Acute Coronary Syndrome (CODIACS) randomized controlled trial. Contemporary Clinical Trials. 33(5). 1003–1010. 10 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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