Ming‐Yuan Chih

2.1k total citations · 1 hit paper
40 papers, 1.4k citations indexed

About

Ming‐Yuan Chih is a scholar working on General Health Professions, Applied Psychology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ming‐Yuan Chih has authored 40 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in General Health Professions, 15 papers in Applied Psychology and 13 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ming‐Yuan Chih's work include Digital Mental Health Interventions (15 papers), Cancer survivorship and care (11 papers) and Mobile Health and mHealth Applications (11 papers). Ming‐Yuan Chih is often cited by papers focused on Digital Mental Health Interventions (15 papers), Cancer survivorship and care (11 papers) and Mobile Health and mHealth Applications (11 papers). Ming‐Yuan Chih collaborates with scholars based in United States, South Korea and Netherlands. Ming‐Yuan Chih's co-authors include David H. Gustafson, Fiona McTavish, Dhavan V. Shah, Amy K. Atwood, Roberta Ann Johnson, Andrew Isham, Michael S. Levy, H. Patrick Driscoll, Michael G. Boyle and James F. Cleary and has published in prestigious journals such as Cancer, Journal of Allergy and Clinical Immunology and Computers in Human Behavior.

In The Last Decade

Ming‐Yuan Chih

38 papers receiving 1.4k citations

Hit Papers

A Smartphone Application to Support Recovery From Alcoholism 2014 2026 2018 2022 2014 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Smartphone Application to Support Recovery From Alcoholism
    2014 519 citations David H. Gustafson, Fiona McTavish et al. JAMA Psychiatry profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming‐Yuan Chih United States 17 636 604 337 290 248 40 1.4k
David B. Portnoy United States 23 723 1.1× 405 0.7× 338 1.0× 547 1.9× 192 0.8× 33 2.0k
Olga Perski United Kingdom 22 1.1k 1.8× 981 1.6× 388 1.2× 257 0.9× 142 0.6× 70 2.4k
Roberta Ann Johnson United States 15 454 0.7× 444 0.7× 221 0.7× 166 0.6× 210 0.8× 35 1.2k
David Crane United Kingdom 14 1.1k 1.7× 901 1.5× 321 1.0× 177 0.6× 309 1.2× 27 1.7k
Jacqueline L. Bender Canada 21 452 0.7× 908 1.5× 520 1.5× 315 1.1× 66 0.3× 97 2.1k
Nicol Nijland Netherlands 10 450 0.7× 1.1k 1.8× 166 0.5× 367 1.3× 140 0.6× 19 1.8k
Rosie Dobson New Zealand 18 498 0.8× 1.1k 1.8× 166 0.5× 328 1.1× 120 0.5× 58 1.8k
Danielle Arigo United States 22 516 0.8× 467 0.8× 240 0.7× 284 1.0× 62 0.3× 90 1.8k
Claire Garnett United Kingdom 21 844 1.3× 726 1.2× 243 0.7× 155 0.5× 441 1.8× 65 1.8k
Emily Arden‐Close United Kingdom 21 215 0.3× 354 0.6× 329 1.0× 300 1.0× 82 0.3× 60 1.4k

Countries citing papers authored by Ming‐Yuan Chih

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Yuan Chih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Yuan Chih. 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 Ming‐Yuan Chih. The network helps show where Ming‐Yuan Chih may publish in the future.

Co-authorship network of co-authors of Ming‐Yuan Chih

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Yuan Chih. A scholar is included among the top collaborators of Ming‐Yuan Chih 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 Ming‐Yuan Chih. Ming‐Yuan Chih 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.
McLouth, Laurie E., et al.. (2024). Piloting a Patient Tool to Aid Palliative Care Referrals during Advanced Lung Cancer Treatment. Journal of Pain and Symptom Management. 67(4). 337–345.e2. 2 indexed citations
2.
3.
Quanbeck, Andrew, et al.. (2024). A randomized trial testing digital medicine support models for mild-to-moderate alcohol use disorder. npj Digital Medicine. 7(1). 248–248.
4.
Kornfield, Rachel, Yan Liu, Ming‐Yuan Chih, et al.. (2023). Using Machine Learning of Online Expression to Explain Recovery Trajectories: Content Analytic Approach to Studying a Substance Use Disorder Forum. Journal of Medical Internet Research. 25. e45589–e45589. 3 indexed citations
5.
Chih, Ming‐Yuan, et al.. (2023). Developing and Testing a Smartphone Application to Enhance Adherence to Voice Therapy: A Pilot Study. International Journal of Environmental Research and Public Health. 20(3). 2436–2436. 2 indexed citations
6.
Schoenberg, Nancy E., Angela Fidler Pfammatter, Michelle Roberts, et al.. (2022). Adaptation and study protocol of the evidence-based Make Better Choices (MBC2) multiple diet and activity change intervention for a rural Appalachian population. BMC Public Health. 22(1). 2043–2043. 2 indexed citations
7.
Park, Linda, Ming‐Yuan Chih, Randall Brown, et al.. (2021). Testing an mHealth System for Individuals With Mild to Moderate Alcohol Use Disorders: Protocol for a Type 1 Hybrid Effectiveness-Implementation Trial. JMIR Research Protocols. 11(2). e31109–e31109. 8 indexed citations
8.
Aronoff‐Spencer, Eliah, Ming‐Yuan Chih, John Kim, et al.. (2021). Designing a Framework for Remote Cancer Care Through Community Co-design: Participatory Development Study. Journal of Medical Internet Research. 24(4). e29492–e29492. 16 indexed citations
9.
Alagöz, Esra, Ming‐Yuan Chih, Mary Hitchcock, Randall Brown, & Andrew Quanbeck. (2018). The use of external change agents to promote quality improvement and organizational change in healthcare organizations: a systematic review. BMC Health Services Research. 18(1). 42–42. 57 indexed citations
10.
Quanbeck, Andrew, David H. Gustafson, Lisa A. Marsch, et al.. (2018). Implementing a Mobile Health System to Integrate the Treatment of Addiction Into Primary Care: A Hybrid Implementation-Effectiveness Study. Journal of Medical Internet Research. 20(1). e37–e37. 68 indexed citations
11.
Gustafson, David H., Lori L. DuBenske, Amy K. Atwood, et al.. (2017). Reducing Symptom Distress in Patients With Advanced Cancer Using an e-Alert System for Caregivers: Pooled Analysis of Two Randomized Clinical Trials. Journal of Medical Internet Research. 19(11). e354–e354. 35 indexed citations
12.
Chih, Ming‐Yuan, et al.. (2017). Breast Cancer Survivors’ Contribution to Psychosocial Adjustment of Newly Diagnosed Breast Cancer Patients in a Computer-Mediated Social Support Group. Journalism & Mass Communication Quarterly. 94(2). 486–514. 26 indexed citations
13.
Gustafson, David H., Fiona McTavish, Ming‐Yuan Chih, et al.. (2014). A Smartphone Application to Support Recovery From Alcoholism. JAMA Psychiatry. 71(5). 566–566. 519 indexed citations breakdown →
14.
DuBenske, Lori L., David H. Gustafson, Kang Namkoong, et al.. (2013). CHESS improves cancer caregivers’ burden and mood: Results of an eHealth RCT.. Health Psychology. 33(10). 1261–1272. 117 indexed citations
15.
Chih, Ming‐Yuan, Timothy Patton, Fiona McTavish, et al.. (2013). Predictive modeling of addiction lapses in a mobile health application. Journal of Substance Abuse Treatment. 46(1). 29–35. 71 indexed citations
16.
Gustafson, David H., Lori L. DuBenske, Kang Namkoong, et al.. (2013). An eHealth system supporting palliative care for patients with non–small cell lung cancer. Cancer. 119(9). 1744–1751. 74 indexed citations
17.
McTavish, Fiona, Ming‐Yuan Chih, Dhavan V. Shah, & David H. Gustafson. (2012). How Patients Recovering From Alcoholism Use a Smartphone Intervention. Journal of Dual Diagnosis. 8(4). 294–304. 96 indexed citations
18.
Yoo, Woohyun, Ming‐Yuan Chih, JungHwan Yang, et al.. (2012). Predictors of the change in the expression of emotional support within an online breast cancer support group: A longitudinal study. Patient Education and Counseling. 90(1). 88–95. 23 indexed citations
19.
DuBenske, Lori L., Ming‐Yuan Chih, David H. Gustafson, Susan Dinauer, & James F. Cleary. (2010). Caregivers’ participation in the oncology clinic visit mediates the relationship between their information competence and their need fulfillment and clinic visit satisfaction. Patient Education and Counseling. 81. S94–S99. 22 indexed citations
20.
DuBenske, Lori L., Ming‐Yuan Chih, Susan Dinauer, David H. Gustafson, & James F. Cleary. (2008). Development and Implementation of a Clinician Reporting System for Advanced Stage Cancer: Initial Lessons Learned. Journal of the American Medical Informatics Association. 15(5). 679–686. 31 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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