Isabel Chien

615 total citations
16 papers, 395 citations indexed

About

Isabel Chien is a scholar working on Public Health, Environmental and Occupational Health, Physiology and Molecular Biology. According to data from OpenAlex, Isabel Chien has authored 16 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Public Health, Environmental and Occupational Health, 3 papers in Physiology and 2 papers in Molecular Biology. Recurrent topics in Isabel Chien's work include Palliative Care and End-of-Life Issues (3 papers), Extracellular vesicles in disease (2 papers) and Alzheimer's disease research and treatments (2 papers). Isabel Chien is often cited by papers focused on Palliative Care and End-of-Life Issues (3 papers), Extracellular vesicles in disease (2 papers) and Alzheimer's disease research and treatments (2 papers). Isabel Chien collaborates with scholars based in United States, United Kingdom and Taiwan. Isabel Chien's co-authors include Charlotta Lindvall, James A. Tulsky, Brooks V. Udelsman, Anne M. Walling, Zara Cooper, Elizabeth J. Lilley, Kei Ouchi, Kate Brizzi, Jorge Palacios and Derek Richards and has published in prestigious journals such as PLoS ONE, Cancer Research and Science Advances.

In The Last Decade

Isabel Chien

16 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isabel Chien United States 11 126 72 65 51 51 16 395
Sheng-Chieh Lu United States 11 48 0.4× 41 0.6× 23 0.4× 15 0.3× 69 1.4× 27 339
Kazuki Tokumasu Japan 12 34 0.3× 62 0.9× 16 0.2× 41 0.8× 50 1.0× 58 573
Yul Ha Min South Korea 14 91 0.7× 246 3.4× 93 1.4× 33 0.6× 15 0.3× 40 535
Lisa Parker Australia 11 140 1.1× 117 1.6× 55 0.8× 15 0.3× 8 0.2× 35 435
Wenhui Zhang United States 11 36 0.3× 64 0.9× 13 0.2× 18 0.4× 35 0.7× 33 327
Adeline Abbé France 8 29 0.2× 36 0.5× 25 0.4× 23 0.5× 25 0.5× 18 658
Vibhu Agarwal United States 6 64 0.5× 43 0.6× 21 0.3× 48 0.9× 74 1.5× 12 279
Alison G. Hoffnagle United States 5 90 0.7× 40 0.6× 32 0.5× 27 0.5× 41 0.8× 6 413
Thomas F Heston United States 12 46 0.4× 39 0.5× 29 0.4× 13 0.3× 89 1.7× 49 513
Marieke van Buchem Netherlands 9 68 0.5× 68 0.9× 12 0.2× 31 0.6× 50 1.0× 15 374

Countries citing papers authored by Isabel Chien

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Chien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabel Chien

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

All Works

16 of 16 papers shown
1.
Wong, Cliff, Zelalem Gero, Jaspreet Bagga, et al.. (2025). TRIALSCOPE — A Framework for Clinical Trial Simulation from Real-World Data. NEJM AI. 2(10). 2 indexed citations
2.
Chien, Isabel, Tim Regan, Ángel Enrique, et al.. (2023). Deep learning for the prediction of clinical outcomes in internet-delivered CBT for depression and anxiety. PLoS ONE. 18(11). e0272685–e0272685. 4 indexed citations
3.
Chien, Isabel, Nina Deliu, Richard E. Turner, et al.. (2022). Multi-disciplinary fairness considerations in machine learning for clinical trials. IRIS Research product catalog (Sapienza University of Rome). 906–924. 16 indexed citations
4.
Leiter, Richard E., Enrico Santus, Zhijing Jin, et al.. (2020). Deep Natural Language Processing to Identify Symptom Documentation in Clinical Notes for Patients With Heart Failure Undergoing Cardiac Resynchronization Therapy. Journal of Pain and Symptom Management. 60(5). 948–958.e3. 20 indexed citations
5.
Chien, Isabel, Ángel Enrique, Jorge Palacios, et al.. (2020). A Machine Learning Approach to Understanding Patterns of Engagement With Internet-Delivered Mental Health Interventions. JAMA Network Open. 3(7). e2010791–e2010791. 70 indexed citations
6.
Shi, Alvin, Gyulnara G. Kasumova, William A. Michaud, et al.. (2020). Plasma-derived extracellular vesicle analysis and deconvolution enable prediction and tracking of melanoma checkpoint blockade outcome. Science Advances. 6(46). 45 indexed citations
7.
Chang, Yang‐Pei, Mei‐Chuan Chou, Chiou‐Lian Lai, Isabel Chien, & Yuan‐Han Yang. (2019). <p>Apolipoprotein E e4 allele is associated with extrapyramidal symptoms in Alzheimer’s disease</p>. Neuropsychiatric Disease and Treatment. Volume 15. 1915–1919. 1 indexed citations
8.
Bates, Sara V., Yanan Song, Yue Zhang, et al.. (2019). Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathy. Journal of Translational Medicine. 17(1). 385–385. 16 indexed citations
9.
Lindvall, Charlotta, Elizabeth J. Lilley, Isabel Chien, et al.. (2018). Natural Language Processing to Assess End-of-Life Quality Indicators in Cancer Patients Receiving Palliative Surgery. Journal of Palliative Medicine. 22(2). 183–187. 71 indexed citations
10.
Udelsman, Brooks V., Isabel Chien, Kei Ouchi, et al.. (2018). Needle in a Haystack: Natural Language Processing to Identify Serious Illness. Journal of Palliative Medicine. 22(2). 179–182. 42 indexed citations
11.
Chien, Isabel, Edward T. Moseley, Saad Salman, et al.. (2018). Deep learning algorithms to identify documentation of serious illness conversations during intensive care unit admissions. Palliative Medicine. 33(2). 187–196. 41 indexed citations
12.
Shi, Alvin, Gyulnara G. Kasumova, Isabel Chien, et al.. (2018). Abstract 4282: Deconvolution of plasma-derived exosomes for tracking and prediction of immunotherapy across multiple tissues. Cancer Research. 78(13_Supplement). 4282–4282. 9 indexed citations
13.
Handley, Michael, et al.. (2016). Analytical models integrated with satellite images for optimized pest management. Precision Agriculture. 17(5). 628–636. 6 indexed citations
14.
Chou, Ping‐Song, Meng‐Ni Wu, Mei‐Chuan Chou, Isabel Chien, & Yuan‐Han Yang. (2016). Angiotensin‐converting enzyme insertion/deletion polymorphism and the longitudinal progression of Alzheimer's disease. Geriatrics and gerontology international. 17(10). 1544–1550. 13 indexed citations
15.
Wang, Hsiu‐Hung, et al.. (2015). Healthcare providers’ perceptions of barriers in implementing of home telecare in Taiwan: A qualitative study. International Journal of Medical Informatics. 84(4). 277–287. 20 indexed citations
16.
Chien, Isabel, et al.. (2003). Spinal Process Landmark as a Predicting Factor for Difficult Epidural Block: A Prospective Study in Taiwanese Patients. The Kaohsiung Journal of Medical Sciences. 19(11). 563–567. 19 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 Sheng-Chieh Lu Breakdown of academic impact, for papers by Kazuki Tokumasu Breakdown of academic impact, for papers by Yul Ha Min Breakdown of academic impact, for papers by Lisa Parker Breakdown of academic impact, for papers by Wenhui Zhang Breakdown of academic impact, for papers by Adeline Abbé Breakdown of academic impact, for papers by Vibhu Agarwal Breakdown of academic impact, for papers by Alison G. Hoffnagle Breakdown of academic impact, for papers by Thomas F Heston Breakdown of academic impact, for papers by Marieke van Buchem
Rankless by CCL
2026