Christine Chang

39.0k total citations
25 papers, 536 citations indexed

About

Christine Chang is a scholar working on General Health Professions, Economics and Econometrics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Christine Chang has authored 25 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in General Health Professions, 8 papers in Economics and Econometrics and 6 papers in Statistics, Probability and Uncertainty. Recurrent topics in Christine Chang's work include Health Policy Implementation Science (9 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers) and Meta-analysis and systematic reviews (6 papers). Christine Chang is often cited by papers focused on Health Policy Implementation Science (9 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers) and Meta-analysis and systematic reviews (6 papers). Christine Chang collaborates with scholars based in United States, Canada and United Kingdom. Christine Chang's co-authors include Jeanne‐Marie Guise, Peter Tugwell, Meera Viswanathan, Terri Pigott, Ellen Schultz, Meera Viswanathan, Mary Butler, Kathryn M McDonald, Craig A. Umscheid and Evelyn P Whitlock and has published in prestigious journals such as Journal of Clinical Epidemiology, PLoS Medicine and Medical Care.

In The Last Decade

Christine Chang

23 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christine Chang United States 12 247 98 87 85 61 25 536
Julia Kreis Germany 11 161 0.7× 152 1.6× 158 1.8× 147 1.7× 45 0.7× 15 760
Sarah Ronaldson United Kingdom 11 150 0.6× 142 1.4× 113 1.3× 36 0.4× 30 0.5× 31 445
Kelly Farrah Canada 9 96 0.4× 52 0.5× 80 0.9× 72 0.8× 42 0.7× 42 502
Stefanie Bühn Germany 9 146 0.6× 67 0.7× 82 0.9× 78 0.9× 67 1.1× 29 568
Yemi Oluboyede United Kingdom 13 144 0.6× 163 1.7× 55 0.6× 21 0.2× 66 1.1× 41 635
Katharina Allers Germany 17 362 1.5× 75 0.8× 246 2.8× 169 2.0× 62 1.0× 32 846
Sarah White United States 16 156 0.6× 101 1.0× 335 3.9× 27 0.3× 44 0.7× 51 851
Jiri Chard United Kingdom 14 298 1.2× 217 2.2× 188 2.2× 51 0.6× 58 1.0× 19 983
Josep M. Argimón Spain 17 371 1.5× 148 1.5× 141 1.6× 35 0.4× 123 2.0× 31 962
Javier Gracia Calandín Spain 10 314 1.3× 217 2.2× 277 3.2× 45 0.5× 54 0.9× 39 695

Countries citing papers authored by Christine Chang

Since Specialization
Citations

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

Fields of papers citing papers by Christine Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Chang

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

All Works

20 of 20 papers shown
1.
Jain, Anjali, et al.. (2023). Awareness of Racial and Ethnic Bias and Potential Solutions to Address Bias With Use of Health Care Algorithms. JAMA Health Forum. 4(6). e231197–e231197. 40 indexed citations
2.
Litman, Ethan, et al.. (2023). Cochrane update: news and reviews from the Cochrane US Network. American Journal of Obstetrics & Gynecology MFM. 6(2). 101255–101255.
3.
4.
Guise, Jeanne‐Marie, et al.. (2017). AHRQ series on complex intervention systematic reviews—paper 6: PRISMA-CI extension statement and checklist. Journal of Clinical Epidemiology. 90. 43–50. 67 indexed citations
5.
Guise, Jeanne‐Marie, Christine Chang, Mary Butler, Meera Viswanathan, & Peter Tugwell. (2017). AHRQ series on complex intervention systematic reviews—paper 1: an introduction to a series of articles that provide guidance and tools for reviews of complex interventions. Journal of Clinical Epidemiology. 90. 6–10. 76 indexed citations
6.
Kelly, Michael P., Jane Noyes, Robert L Kane, et al.. (2017). AHRQ series on complex intervention systematic reviews—paper 2: defining complexity, formulating scope, and questions. Journal of Clinical Epidemiology. 90. 11–18. 30 indexed citations
7.
Guise, Jeanne‐Marie, Mary Butler, Christine Chang, et al.. (2017). AHRQ series on complex intervention systematic reviews—paper 7: PRISMA-CI elaboration and explanation. Journal of Clinical Epidemiology. 90. 51–58. 34 indexed citations
8.
Guise, Jeanne‐Marie, Christine Chang, Meera Viswanathan, et al.. (2014). Agency for Healthcare Research and Quality Evidence-based Practice Center methods for systematically reviewing complex multicomponent health care interventions. Journal of Clinical Epidemiology. 67(11). 1181–1191. 41 indexed citations
9.
Buckley, David, et al.. (2014). The refinement of topics for systematic reviews: lessons and recommendations from the Effective Health Care Program. Journal of Clinical Epidemiology. 67(4). 425–432. 9 indexed citations
10.
Cottrell, Erika, Evelyn P Whitlock, Elisabeth Kato, et al.. (2014). Defining the Benefits of Stakeholder Engagement in Systematic Reviews [Internet]. 3 indexed citations
11.
Guise, Jeanne‐Marie, Christine Chang, Meera Viswanathan, et al.. (2014). Systematic Reviews of Complex Multicomponent Health Care Interventions. 23 indexed citations
12.
Cottrell, Erika, Evelyn P Whitlock, Elisabeth Kato, et al.. (2014). Figure 1, AHRQ Effective Health Care Program: Points of stakeholder engagement for systematic reviews. 3 indexed citations
13.
Cottrell, Erika, Evelyn P Whitlock, Elisabeth Kato, et al.. (2014). Defining the Benefits of Stakeholder Engagement in Systematic Reviews. Europe PMC (PubMed Central). 49 indexed citations
14.
McDonald, Kathryn M, Christine Chang, & Ellen Schultz. (2013). Closing the Quality Gap: Revisiting the State of the Science. Summary Report. 4 indexed citations
15.
Luoto, Jill, Margaret Maglione, Breanne Johnsen, et al.. (2013). A Comparison of Frameworks Evaluating Evidence for Global Health Interventions. PLoS Medicine. 10(7). e1001469–e1001469. 11 indexed citations
16.
Westen, Drew & Christine Chang. (2013). PERSONALITY PATHOLOGY IN ADOLESCENCE: A REVIEW. 69–108. 20 indexed citations
17.
McDonald, Kathryn M, Ellen Schultz, & Christine Chang. (2013). Evaluating the State of Quality-Improvement Science through Evidence Synthesis: Insights from the Closing the Quality Gap Series. The Permanente Journal. 17(4). 52–61. 30 indexed citations
18.
McDonald, Kathryn M, Christine Chang, & Ellen Schultz. (2013). Through the Quality Kaleidoscope: Reflections on the Science and Practice of Improving Health Care Quality. 5 indexed citations
19.
Chang, Christine, Eun‐Kyung Kim, Jae Woo Lee, et al.. (2012). Lung mast cell density defines a subpopulation of patients with idiopathic pulmonary fibrosis. Histopathology. 61(1). 98–106. 42 indexed citations
20.
Dedman, Elisabeth, Steve Lin, & Christine Chang. (2010). Non-Executive Independence and Quality: Do they add to firm value in the UK?.

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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