Sarah E. Chang

2.5k total citations
20 papers, 566 citations indexed

About

Sarah E. Chang is a scholar working on Molecular Biology, Immunology and Clinical Psychology. According to data from OpenAlex, Sarah E. Chang has authored 20 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Immunology and 3 papers in Clinical Psychology. Recurrent topics in Sarah E. Chang's work include Pancreatic function and diabetes (2 papers), Single-cell and spatial transcriptomics (2 papers) and Epigenetics and DNA Methylation (2 papers). Sarah E. Chang is often cited by papers focused on Pancreatic function and diabetes (2 papers), Single-cell and spatial transcriptomics (2 papers) and Epigenetics and DNA Methylation (2 papers). Sarah E. Chang collaborates with scholars based in United States, Japan and Australia. Sarah E. Chang's co-authors include Paul J. Utz, Peggie Cheung, Purvesh Khatri, Michele Donato, Alex Kuo, Steven Schaffert, Mai Dvorak, Francesco Vallania, Cornelia L. Dekker and Hayley Warsinske and has published in prestigious journals such as Cell, Nature Immunology and Biological Psychiatry.

In The Last Decade

Sarah E. Chang

19 papers receiving 560 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah E. Chang United States 11 299 126 58 45 44 20 566
Abhishek Shastri United Kingdom 10 191 0.6× 239 1.9× 90 1.6× 62 1.4× 17 0.4× 13 716
Emily Bell Canada 19 354 1.2× 41 0.3× 44 0.8× 64 1.4× 113 2.6× 33 882
Darshana Patel United States 16 399 1.3× 181 1.4× 72 1.2× 47 1.0× 14 0.3× 20 856
Sarah Decker Germany 19 242 0.8× 66 0.5× 28 0.5× 20 0.4× 62 1.4× 29 789
Marianne Olsen Denmark 14 207 0.7× 73 0.6× 49 0.8× 13 0.3× 12 0.3× 29 558
Tobias Schäfer Germany 13 439 1.5× 75 0.6× 59 1.0× 17 0.4× 11 0.3× 15 685
Kana Tominaga Japan 9 216 0.7× 86 0.7× 121 2.1× 67 1.5× 43 1.0× 18 611
Giorgio Galetto United States 9 142 0.5× 62 0.5× 24 0.4× 31 0.7× 18 0.4× 16 522
Christina Greenwood United Kingdom 12 277 0.9× 59 0.5× 24 0.4× 69 1.5× 13 0.3× 21 586
Li Dong China 15 162 0.5× 53 0.4× 23 0.4× 38 0.8× 8 0.2× 33 690

Countries citing papers authored by Sarah E. Chang

Since Specialization
Citations

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

Fields of papers citing papers by Sarah E. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah E. Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah E. Chang. A scholar is included among the top collaborators of Sarah E. 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 Sarah E. Chang. Sarah E. 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.
Anselmi, Caroline, Sarah E. Chang, Renan Dal‐Fabbro, et al.. (2025). Quercetin‐calcium hydroxide scaffolds modulate dental pulp stem cell response in vitro under a simulated inflammatory environment. International Endodontic Journal. 58(7). 1073–1090. 1 indexed citations
2.
Ghahremani, Dara G., et al.. (2025). Altered Neurobehavioral Reward Response Predicts Psychotic-Like Experiences in Youth Exposed to Cannabis Prenatally. Biological Psychiatry. 99(2). 165–174.
3.
Feng, Allan, Michael V. Gonzalez, Melanie Mumau, et al.. (2025). Common connective tissue disorder and anti-cytokine autoantibodies are enriched in idiopathic multicentric castleman disease patients. Frontiers in Immunology. 16. 1528465–1528465. 1 indexed citations
4.
Chang, Sarah E., Guiquan Jia, Courtney Schiffman, et al.. (2024). Pursuing Clinical Predictors and Biomarkers for Progression in ILD: Analysis of the Pulmonary Fibrosis Foundation (PFF) Registry. Lung. 202(3). 269–273. 1 indexed citations
5.
Kolstad, Kathleen D., Michele Donato, Sarah E. Chang, et al.. (2022). Cytokine signatures differentiate systemic sclerosis patients at high versus low risk for pulmonary arterial hypertension. Arthritis Research & Therapy. 24(1). 39–39. 10 indexed citations
6.
Chang, Sarah E., Luis M. Franco, Sandesh C.S. Nagamani, et al.. (2022). A GMR-based assay for quantification of the human response to influenza. Biosensors and Bioelectronics. 205. 114086–114086. 13 indexed citations
7.
Bai, Lawrence, Denis Đermadi, Mai Dvorak, et al.. (2022). Mass-Cytometry-Based Quantification of Global Histone Post-Translational Modifications at Single-Cell Resolution Across Peripheral Immune Cells in IBD. Journal of Crohn s and Colitis. 17(5). 804–815. 5 indexed citations
8.
9.
Cheung, Peggie, Steven Schaffert, Sarah E. Chang, et al.. (2021). Repression of CTSG, ELANE and PRTN3-mediated histone H3 proteolytic cleavage promotes monocyte-to-macrophage differentiation. Nature Immunology. 22(6). 711–722. 45 indexed citations
10.
Présumey, Jessy, Cees E. van der Poel, Carlos Castrillón, et al.. (2020). Complement C4A Regulates Autoreactive B Cells in Murine Lupus. Cell Reports. 33(5). 108330–108330. 12 indexed citations
11.
Jain, Felipe A., Colm G. Connolly, Andrew F. Leuchter, et al.. (2019). Grief, Mindfulness and Neural Predictors of Improvement in Family Dementia Caregivers. Frontiers in Human Neuroscience. 13. 155–155. 13 indexed citations
12.
Cheung, Peggie, Francesco Vallania, Mai Dvorak, et al.. (2018). Single-cell epigenetics – Chromatin modification atlas unveiled by mass cytometry. Clinical Immunology. 196. 40–48. 24 indexed citations
13.
Rizzi, Giovanni, et al.. (2018). Quantification of cDNA on GMR biosensor array towards point-of-care gene expression analysis. Biosensors and Bioelectronics. 130. 338–343. 37 indexed citations
14.
Cheung, Peggie, Francesco Vallania, Hayley Warsinske, et al.. (2018). Single-Cell Chromatin Modification Profiling Reveals Increased Epigenetic Variations with Aging. Cell. 173(6). 1385–1397.e14. 233 indexed citations
15.
Wiley, Shu Z., Krishna Sriram, Wenjing Liang, et al.. (2017). GPR68, a proton‐sensing GPCR, mediates interaction of cancer‐associated fibroblasts and cancer cells. The FASEB Journal. 32(3). 1170–1183. 82 indexed citations
16.
Chang, Sarah E.. (2016). Crosstalk between pancreatic cancer cells and pancreatic cancer-associated fibroblasts through cytokines and a GPCR. eScholarship (California Digital Library). 1 indexed citations
17.
Chang, Sarah E., et al.. (2013). 7 SuperTracker Features You've Never Heard Of. Journal of the Academy of Nutrition and Dietetics. 113(10). 1282–1287. 2 indexed citations
18.
Post, Robert C., et al.. (2012). Getting Plates in Shape Using SuperTracker. Journal of the Academy of Nutrition and Dietetics. 112(3). 354–358. 6 indexed citations
19.
Butow, Phyllis, et al.. (2009). Shared decision making coding systems: How do they compare in the oncology context?. Patient Education and Counseling. 78(2). 261–268. 38 indexed citations
20.
Sarwal, Minnie, Sarah E. Chang, Christopher Barry, et al.. (2001). Genomic analysis of renal allograft dysfunction using cDNA microarrays. Transplantation Proceedings. 33(1-2). 297–298. 24 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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