Cindy M. Chang

3.7k total citations
55 papers, 2.0k citations indexed

About

Cindy M. Chang is a scholar working on Physiology, Health, Toxicology and Mutagenesis and Oncology. According to data from OpenAlex, Cindy M. Chang has authored 55 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Physiology, 14 papers in Health, Toxicology and Mutagenesis and 13 papers in Oncology. Recurrent topics in Cindy M. Chang's work include Smoking Behavior and Cessation (23 papers), Air Quality and Health Impacts (13 papers) and Viral-associated cancers and disorders (9 papers). Cindy M. Chang is often cited by papers focused on Smoking Behavior and Cessation (23 papers), Air Quality and Health Impacts (13 papers) and Viral-associated cancers and disorders (9 papers). Cindy M. Chang collaborates with scholars based in United States, Taiwan and Italy. Cindy M. Chang's co-authors include Brian L. Rostron, Catherine Corey, Allan Hildesheim, Eric A. Engels, Benjamin J. Apelberg, Kishor Bhatia, Dave S.�B. Hoon, Sam M. Mbulaiteye, J. Anne Nizze and Leland J. Foshag and has published in prestigious journals such as Circulation Research, JNCI Journal of the National Cancer Institute and Cancer.

In The Last Decade

Cindy M. Chang

54 papers receiving 1.9k citations

Peers

Cindy M. Chang
Holly R. Harris United States
Youn‐Hee Choi South Korea
Julie T. Ziegler United States
Ewa Jassem Poland
Brenda M. Birmann United States
Kui Zhang China
Holly R. Harris United States
Cindy M. Chang
Citations per year, relative to Cindy M. Chang Cindy M. Chang (= 1×) peers Holly R. Harris

Countries citing papers authored by Cindy M. Chang

Since Specialization
Citations

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

Fields of papers citing papers by Cindy M. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cindy M. Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Cindy M. Chang. A scholar is included among the top collaborators of Cindy M. 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 Cindy M. Chang. Cindy M. 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.
Chen, Hung-Chih, Yu‐Che Cheng, Cindy M. Chang, et al.. (2025). Gut microbiota modulation in cardiac cell therapy with immunosuppression in a nonhuman primate ischemia/reperfusion model. npj Regenerative Medicine. 10(1). 2–2. 1 indexed citations
2.
Hoang, Peter, et al.. (2025). Treatments for Depression for Older Adults Living in Long-Term Care: A Systematic Review and Network Meta-Analysis. Journal of the American Medical Directors Association. 26(6). 105435–105435. 1 indexed citations
3.
Chang, Cindy M., Ruben Montes de, Brian L. Rostron, et al.. (2024). Assessing the Relationship between Biomarkers of Exposure and Biomarkers of Potential Harm: PATH Study Wave 1 (2013 to 2014). Cancer Epidemiology Biomarkers & Prevention. 33(8). 1083–1090. 3 indexed citations
4.
Xu, Kerui, Terrence Lee, Carolyn M. Reyes-Guzman, et al.. (2024). Use patterns of flavored non-cigarette tobacco products among US adults, 2010–2019. Preventive Medicine. 180. 107870–107870. 1 indexed citations
5.
Ashley, David L., Wanzhe Zhu, Deepak Bhandari, et al.. (2023). Influence of Half-life and Smoking/Nonsmoking Ratio on Biomarker Consistency between Waves 1 and 2 of the Population Assessment of Tobacco and Health Study. Cancer Epidemiology Biomarkers & Prevention. 33(1). 80–87. 1 indexed citations
6.
Ashley, David L., Wanzhe Zhu, Lanqing Wang, et al.. (2022). Variability in Urinary Nicotine Exposure Biomarker Levels Between Waves 1 (2013–2014) and 2 (2014–2015) in the Population Assessment of Tobacco and Health Study. Nicotine & Tobacco Research. 25(4). 616–623. 1 indexed citations
7.
Nicholson, Martin W., Ching‐Ying Huang, Yu‐Che Cheng, et al.. (2022). Cardio- and Neurotoxicity of Selected Anti-COVID-19 Drugs. Pharmaceuticals. 15(6). 765–765. 4 indexed citations
9.
Jackson, Rebecca, Chunfeng Ren, Blair Coleman, et al.. (2021). Transitions to smokeless tobacco use among adult cigarette smokers in the Population Assessment of Tobacco and Health (PATH) Study, Waves 3–5 (2015–2019). Tobacco Control. 32(5). 657–660. 9 indexed citations
10.
Chang, Joanne T., et al.. (2020). Cigarette Smoking Reduction and Health Risks: A Systematic Review and Meta-analysis. Nicotine & Tobacco Research. 23(4). 635–642. 94 indexed citations
11.
Chang, Joanne T., Baoguang Wang, Cindy M. Chang, & Bridget K. Ambrose. (2019). National estimates of poisoning events related to liquid nicotine in young children treated in US hospital emergency departments, 2013–2017. Injury Epidemiology. 6(1). 10–10. 19 indexed citations
12.
Chang, Cindy M., et al.. (2016). Biomarkers of Tobacco Exposure: Summary of an FDA-Sponsored Public Workshop. Cancer Epidemiology Biomarkers & Prevention. 26(3). 291–302. 101 indexed citations
13.
Shiels, Meredith S., Hormuzd A. Katki, Neal D. Freedman, et al.. (2014). Cigarette Smoking and Variations in Systemic Immune and Inflammation Markers. JNCI Journal of the National Cancer Institute. 106(11). 246 indexed citations
14.
Mbulaiteye, Sam M., William F. Anderson, Jacques Ferlay, et al.. (2012). Pediatric, elderly, and emerging adult‐onset peaks in Burkitt's lymphoma incidence diagnosed in four continents, excluding Africa. American Journal of Hematology. 87(6). 573–578. 45 indexed citations
15.
Chang, Cindy M., Sophia Wang, Bhavana J. Davé, et al.. (2010). Risk factors for non‐Hodgkin lymphoma subtypes defined by histology and t(14;18) in a population‐based case‐control study. International Journal of Cancer. 129(4). 938–947. 11 indexed citations
16.
Chang, Cindy M., Jane C. Schroeder, Andrew F. Olshan, et al.. (2010). A case–control study of tobacco use and other non-occupational risk factors for lymphoma subtypes defined by t(14; 18) translocations and bcl-2 expression. Cancer Causes & Control. 21(7). 1147–1154. 6 indexed citations
17.
Chang, Cindy M., Kelly J. Yu, Sam M. Mbulaiteye, Allan Hildesheim, & Kishor Bhatia. (2009). The extent of genetic diversity of Epstein-Barr virus and its geographic and disease patterns: A need for reappraisal. Virus Research. 143(2). 209–221. 171 indexed citations
18.
Bianco, Caterina, Luigi Strizzi, Mario Mancino, et al.. (2008). Regulation of Cripto-1 Signaling and Biological Activity by Caveolin-1 in Mammary Epithelial Cells. American Journal Of Pathology. 172(2). 345–357. 17 indexed citations
19.
Hsieh, Patrick C.H., Richard D. Kenagy, Eileen R. Mulvihill, et al.. (2006). Bone morphogenetic protein 4: Potential regulator of shear stress-induced graft neointimal atrophy. Journal of Vascular Surgery. 43(1). 150–158. 21 indexed citations
20.
Morton, Donald L., Leland J. Foshag, Dave S.�B. Hoon, et al.. (1992). Prolongation of Survival in Metastatic Melanoma After Active Specific Immunotherapy With a New Polyvalent Melanoma Vaccine. Annals of Surgery. 216(4). 463–482. 326 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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