Shun‐Chiao Chang

2.5k total citations
51 papers, 1.7k citations indexed

About

Shun‐Chiao Chang is a scholar working on Genetics, Endocrine and Autonomic Systems and Epidemiology. According to data from OpenAlex, Shun‐Chiao Chang has authored 51 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 7 papers in Endocrine and Autonomic Systems and 7 papers in Epidemiology. Recurrent topics in Shun‐Chiao Chang's work include Systemic Lupus Erythematosus Research (6 papers), Multi-Criteria Decision Making (5 papers) and Genetic Associations and Epidemiology (5 papers). Shun‐Chiao Chang is often cited by papers focused on Systemic Lupus Erythematosus Research (6 papers), Multi-Criteria Decision Making (5 papers) and Genetic Associations and Epidemiology (5 papers). Shun‐Chiao Chang collaborates with scholars based in United States, Taiwan and United Kingdom. Shun‐Chiao Chang's co-authors include Olivia I. Okereke, Karen H. Costenbader, Elizabeth W. Karlson, Karestan C. Koenen, Pei‐Hsuan Tsai, Ichiro Kawachi, Allison E. Aiello, Derek E. Wildman, Monica Uddin and Sandro Galea and has published in prestigious journals such as Circulation, Circulation Research and American Journal of Clinical Nutrition.

In The Last Decade

Shun‐Chiao Chang

50 papers receiving 1.6k citations

Peers

Shun‐Chiao Chang
Michael Kirby United Kingdom
John Crawford Australia
Li He China
John Hornberger United States
Anne Lee United States
Abdelouahid Tajar United Kingdom
Adana A. M. Llanos United States
Michael Kirby United Kingdom
Shun‐Chiao Chang
Citations per year, relative to Shun‐Chiao Chang Shun‐Chiao Chang (= 1×) peers Michael Kirby

Countries citing papers authored by Shun‐Chiao Chang

Since Specialization
Citations

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

Fields of papers citing papers by Shun‐Chiao Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shun‐Chiao Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Shun‐Chiao Chang. A scholar is included among the top collaborators of Shun‐Chiao 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 Shun‐Chiao Chang. Shun‐Chiao 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.
Chang, Shun‐Chiao, et al.. (2024). The natural history and burden of illness of metachromatic leukodystrophy: a systematic literature review. European journal of medical research. 29(1). 181–181. 3 indexed citations
2.
Chang, Shun‐Chiao, et al.. (2024). A systematic review on the birth prevalence of metachromatic leukodystrophy. Orphanet Journal of Rare Diseases. 19(1). 80–80. 3 indexed citations
3.
Mayampurath, Anoop, Colin Anderson‐Smits, Shun‐Chiao Chang, et al.. (2022). Early Diagnosis of Primary Immunodeficiency Disease Using Clinical Data and Machine Learning. The Journal of Allergy and Clinical Immunology In Practice. 10(11). 3002–3007.e5. 21 indexed citations
5.
Chang, Shun‐Chiao, Wei Wang, Naomi M. Simon, et al.. (2019). The relation of telomere length at midlife to subsequent 20‐year depression trajectories among women. Depression and Anxiety. 36(6). 565–575. 11 indexed citations
6.
Chang, Shun‐Chiao, et al.. (2019). Determinants of the performance of traditional Chinese medicine clinics in Taiwan. Health Policy. 123(4). 379–387. 3 indexed citations
7.
Vyas, Chirag M., Aditi Hazra, Shun‐Chiao Chang, et al.. (2019). Pilot study of DNA methylation, molecular aging markers and measures of health and well-being in aging. Translational Psychiatry. 9(1). 118–118. 25 indexed citations
8.
Chang, Shun‐Chiao, Marta Crous‐Bou, Jennifer Prescott, et al.. (2018). Relation of long-term patterns in caregiving activity and depressive symptoms to telomere length in older women. Psychoneuroendocrinology. 89. 161–167. 11 indexed citations
9.
Vetter, Céline, et al.. (2018). Prospective study of chronotype and incident depression among middle- and older-aged women in the Nurses’ Health Study II. Journal of Psychiatric Research. 103. 156–160. 53 indexed citations
10.
Devore, Elizabeth E., Shun‐Chiao Chang, Olivia I. Okereke, Douglas G. McMahon, & Eva Schernhammer. (2018). Photoperiod during maternal pregnancy and lifetime depression in offspring. Journal of Psychiatric Research. 104. 169–175. 16 indexed citations
11.
Chang, Shun‐Chiao, Jennifer Prescott, Immaculata De Vivo, Peter Kraft, & Olivia I. Okereke. (2018). Polygenic risk score of shorter telomere length and risk of depression and anxiety in women. Journal of Psychiatric Research. 103. 182–188. 8 indexed citations
12.
Li, Shanshan, Olivia I. Okereke, Shun‐Chiao Chang, Ichiro Kawachi, & Tyler J. VanderWeele. (2016). Religious Service Attendance and Lower Depression Among Women—a Prospective Cohort Study. Annals of Behavioral Medicine. 50(6). 876–884. 101 indexed citations
13.
Chang, Shun‐Chiao, Wei Wang, An Pan, et al.. (2016). Racial Variation in Depression Risk Factors and Symptom Trajectories among Older Women. American Journal of Geriatric Psychiatry. 24(11). 1051–1062. 14 indexed citations
14.
Chang, Shun‐Chiao, An Pan, Ichiro Kawachi, & Olivia I. Okereke. (2016). Risk factors for late-life depression: A prospective cohort study among older women. Preventive Medicine. 91. 144–151. 68 indexed citations
15.
Chang, Shun‐Chiao, Aedín Cassidy, Walter C. Willett, et al.. (2016). Dietary flavonoid intake and risk of incident depression in midlife and older women. American Journal of Clinical Nutrition. 104(3). 704–714. 110 indexed citations
16.
Walter, Stefan, Jessica R. Marden, Laura D. Kubzansky, et al.. (2015). Diabetic Phenotypes and Late-Life Dementia Risk. Alzheimer Disease & Associated Disorders. 30(1). 15–20. 22 indexed citations
17.
Chang, Shun‐Chiao, M. Maria Glymour, Stefan Walter, et al.. (2014). Genome‐wide polygenic scoring for a 14‐year long‐term average depression phenotype. Brain and Behavior. 4(2). 298–311. 14 indexed citations
18.
Chang, Shun‐Chiao, et al.. (2010). Common genetic variation in the GAD1 gene and the entire family of DLX homeobox genes and autism spectrum disorders. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 156(2). 233–239. 17 indexed citations
19.
Costenbader, Karen H., Shun‐Chiao Chang, Immaculata De Vivo, Robert M. Plenge, & Elizabeth W. Karlson. (2008). Genetic polymorphisms in PTPN22, PADI-4, and CTLA-4 and risk for rheumatoid arthritis in two longitudinal cohort studies: evidence of gene-environment interactions with heavy cigarette smoking. Arthritis Research & Therapy. 10(3). R52–R52. 78 indexed citations
20.
Yu, Ming‐Whei, H. C. Chang, Shun‐Chiao Chang, et al.. (2003). Role of Reproductive Factors in Hepatocellular Carcinoma: Impact on Hepatitis B- and C-Related Risk. Hepatology. 38(6). 1393–1400. 125 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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