Wiley Chan

782 total citations
18 papers, 457 citations indexed

About

Wiley Chan is a scholar working on Public Health, Environmental and Occupational Health, Economics and Econometrics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Wiley Chan has authored 18 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Public Health, Environmental and Occupational Health, 10 papers in Economics and Econometrics and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Wiley Chan's work include Health Systems, Economic Evaluations, Quality of Life (10 papers), Clinical practice guidelines implementation (8 papers) and Meta-analysis and systematic reviews (4 papers). Wiley Chan is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (10 papers), Clinical practice guidelines implementation (8 papers) and Meta-analysis and systematic reviews (4 papers). Wiley Chan collaborates with scholars based in United States, Switzerland and Canada. Wiley Chan's co-authors include Jonathan B. Brown, Kathryn L. Pedula, Allen Russell, Mikel Aickin, Victor J. Stevens, Thomas A. Pearson, Robert F. Kushner, Harlan M. Krumholz, William C. Cushman and Glen C. Bennett and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Kidney International.

In The Last Decade

Wiley Chan

18 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wiley Chan United States 11 133 124 111 101 89 18 457
Anna Selva Spain 11 72 0.5× 127 1.0× 120 1.1× 146 1.4× 30 0.3× 27 464
Thomas M. Jaeger United States 12 115 0.9× 201 1.6× 65 0.6× 123 1.2× 251 2.8× 18 757
Shivani Padmanabhan United Kingdom 4 115 0.9× 58 0.5× 24 0.2× 68 0.7× 60 0.7× 6 407
Deborah McCahon United Kingdom 14 109 0.8× 111 0.9× 42 0.4× 40 0.4× 257 2.9× 33 650
M. Dianne Murphy United States 14 232 1.7× 74 0.6× 25 0.2× 69 0.7× 69 0.8× 19 646
Ineke van der Wulp Netherlands 12 107 0.8× 125 1.0× 55 0.5× 43 0.4× 92 1.0× 23 557
Stephanie Garies Canada 11 78 0.6× 132 1.1× 107 1.0× 121 1.2× 109 1.2× 34 639
Tezeta Mitiku Canada 7 47 0.4× 89 0.7× 48 0.4× 104 1.0× 126 1.4× 8 475
Heidi L. Ekstrom United States 13 63 0.5× 199 1.6× 117 1.1× 145 1.4× 101 1.1× 42 608
Mathias Wargon France 11 152 1.1× 73 0.6× 61 0.5× 16 0.2× 184 2.1× 22 640

Countries citing papers authored by Wiley Chan

Since Specialization
Citations

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

Fields of papers citing papers by Wiley Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wiley Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Wiley Chan. A scholar is included among the top collaborators of Wiley Chan 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 Wiley Chan. Wiley Chan 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
1.
Aschmann, Hélène E., Cynthia M. Boyd, Craig Robbins, et al.. (2020). Informing Patient-Centered Care Through Stakeholder Engagement and Highly Stratified Quantitative Benefit–Harm Assessments. Value in Health. 23(5). 616–624. 11 indexed citations
2.
3.
Aschmann, Hélène E., Cynthia M. Boyd, Craig Robbins, et al.. (2019). Balance of benefits and harms of different blood pressure targets in people with multiple chronic conditions: a quantitative benefit-harm assessment. BMJ Open. 9(8). e028438–e028438. 6 indexed citations
4.
Bennett, Wendy L., Hélène E. Aschmann, Milo A. Puhan, et al.. (2019). A benefit–harm analysis of adding basal insulin vs. sulfonylurea to metformin to manage type II diabetes mellitus in people with multiple chronic conditions. Journal of Clinical Epidemiology. 113. 92–100. 17 indexed citations
5.
Aschmann, Hélène E., Milo A. Puhan, Craig Robbins, et al.. (2019). Outcome preferences of older people with multiple chronic conditions and hypertension: a cross-sectional survey using best-worst scaling. Health and Quality of Life Outcomes. 17(1). 186–186. 9 indexed citations
6.
Li, Tianjing, Ian J. Saldanha, Joseph K. Canner, et al.. (2019). A randomized trial provided new evidence on the accuracy and efficiency of traditional vs. electronically annotated abstraction approaches in systematic reviews. Journal of Clinical Epidemiology. 115. 77–89. 30 indexed citations
7.
Chan, Wiley, Thomas A. Pearson, Glen C. Bennett, et al.. (2017). ACC/AHA Special Report: Clinical Practice Guideline Implementation Strategies: A Summary of Systematic Reviews by the NHLBI Implementation Science Work Group. Journal of the American College of Cardiology. 69(8). 1076–1092. 133 indexed citations
8.
Bennett, Wendy L., Craig Robbins, Elizabeth A. Bayliss, et al.. (2017). Engaging Stakeholders to Inform Clinical Practice Guidelines That Address Multiple Chronic Conditions. Journal of General Internal Medicine. 32(8). 883–890. 21 indexed citations
9.
Chan, Wiley, Thomas A. Pearson, Glen C. Bennett, et al.. (2017). ACC/AHA Special Report: Clinical Practice Guideline Implementation Strategies: A Summary of Systematic Reviews by the NHLBI Implementation Science Work Group. Circulation. 135(9). e122–e137. 55 indexed citations
10.
Saldanha, Ian J., Christopher H. Schmid, Joseph Lau, et al.. (2016). Evaluating Data Abstraction Assistant, a novel software application for data abstraction during systematic reviews: protocol for a randomized controlled trial. Systematic Reviews. 5(1). 196–196. 9 indexed citations
11.
Uhlig, Katrin, Jeffrey S. Berns, Serena Carville, et al.. (2016). Recommendations for kidney disease guideline updating: a report by the KDIGO Methods Committee. Kidney International. 89(4). 753–760. 11 indexed citations
12.
Chan, Wiley, et al.. (2013). 024 Maximising efficiency in updating guidelines through prioritisation of clinical questions. BMJ Quality & Safety. 22(Suppl 1). A19.2–A19. 1 indexed citations
13.
Schünemann, Holger J., et al.. (2013). 064WS How to Use the GRADE ”Evidence-to-Recommendations Framework” to Develop Guideline Recommendations for Therapeutic Interventions. BMJ Quality & Safety. 22(Suppl 1). A9.2–A9. 1 indexed citations
14.
Krause, L Kendall, et al.. (2012). Transparency Matters: Kaiser Permanente's National Guideline Program Methodological Processes. The Permanente Journal. 16(1). 55–62. 16 indexed citations
15.
16.
Brown, Jonathan B., Allen Russell, Wiley Chan, Kathryn L. Pedula, & Mikel Aickin. (2000). The global diabetes model: user friendly version 3.0. Diabetes Research and Clinical Practice. 50. S15–S46. 71 indexed citations
17.
Brown, Jonathan B., et al.. (2000). The Mt. Hood challenge: cross-testing two diabetes simulation models. Diabetes Research and Clinical Practice. 50. S57–S64. 47 indexed citations
18.
Levinson, Wendy, et al.. (1994). Teaching tips for clinician-teachers. Journal of General Internal Medicine. 9(6). 349–353. 6 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Anna Selva Breakdown of academic impact, for papers by Thomas M. Jaeger Breakdown of academic impact, for papers by Shivani Padmanabhan Breakdown of academic impact, for papers by Deborah McCahon Breakdown of academic impact, for papers by M. Dianne Murphy Breakdown of academic impact, for papers by Ineke van der Wulp Breakdown of academic impact, for papers by Stephanie Garies Breakdown of academic impact, for papers by Tezeta Mitiku Breakdown of academic impact, for papers by Heidi L. Ekstrom Breakdown of academic impact, for papers by Mathias Wargon
Rankless by CCL
2026