Qiushi Chen

1.8k total citations · 1 hit paper
76 papers, 1.2k citations indexed

About

Qiushi Chen is a scholar working on Epidemiology, Hepatology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Qiushi Chen has authored 76 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Epidemiology, 15 papers in Hepatology and 11 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Qiushi Chen's work include Hepatitis C virus research (15 papers), Liver Disease Diagnosis and Treatment (13 papers) and Lymphoma Diagnosis and Treatment (7 papers). Qiushi Chen is often cited by papers focused on Hepatitis C virus research (15 papers), Liver Disease Diagnosis and Treatment (13 papers) and Lymphoma Diagnosis and Treatment (7 papers). Qiushi Chen collaborates with scholars based in United States, China and Germany. Qiushi Chen's co-authors include Jagpreet Chhatwal, Turgay Ayer, Christopher R. Flowers, Rakesh Aggarwal, Emily D. Bethea, Peter P. Mueller, Marc R. Larochelle, Amit Goel, Amy B. Knudsen and Fasiha Kanwal and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Qiushi Chen

68 papers receiving 1.2k citations

Hit Papers

Prevention of Prescription Opioid Misuse and Projected Ov... 2019 2026 2021 2023 2019 50 100 150 200
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. Prevention of Prescription Opioid Misuse and Projected Overdose Deaths in the United States
    2019 205 citations Qiushi Chen, Marc R. Larochelle et al. JAMA Network Open profile →

Peers

Qiushi Chen
Song Zhang United States
Henri Leleu France
Anne‐Sophie Jannot France
Yohann Foucher France
Kouhei Akazawa Japan
Carla Rognoni Italy
Matthew Hathcock United States
Ralph Brinks Germany
Nicole S. Erler Netherlands
Robert E. J. Ryder United Kingdom
Song Zhang United States
Qiushi Chen
Citations per year, relative to Qiushi Chen Qiushi Chen (= 1×) peers Song Zhang

Countries citing papers authored by Qiushi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Qiushi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiushi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Qiushi Chen. A scholar is included among the top collaborators of Qiushi Chen 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 Qiushi Chen. Qiushi Chen 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
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Jiao, Lirui, Qiushi Chen, Zhe Zheng, et al.. (2025). Effects of Scalable, Wordless, Short, Animated Storytelling Videos on Flu Vaccine Hesitancy in China: Nationwide, Single-Blind, Parallel-Group, Randomized Controlled Trial. Journal of Medical Internet Research. 27. e66758–e66758. 1 indexed citations
4.
Tuan, Wen‐Jan, et al.. (2025). Predicting Missed Appointments in Primary Care: A Personalized Machine Learning Approach. The Annals of Family Medicine. 23(4). 294–301.
5.
Chen, Qiushi, et al.. (2024). Creating a robust coordinated data and policy framework for addressing substance use issues in the United States. International Journal of Drug Policy. 134. 104629–104629. 1 indexed citations
6.
Yu, Fengyun, Lirui Jiao, Qiushi Chen, et al.. (2024). Preferences regarding COVID-19 vaccination among 12,000 adults in China: A cross-sectional discrete choice experiment. SHILAP Revista de lepidopterología. 4(7). e0003387–e0003387. 2 indexed citations
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Chen, Qiushi, Yi‐Wen Fan, Ke Huang, et al.. (2024). Cost-effectiveness of population-based screening for chronic obstructive pulmonary disease in China: a simulation modeling study. The Lancet Regional Health - Western Pacific. 46. 101065–101065. 9 indexed citations
9.
Yu, Fengyun, Mark Donald C. Reñosa, Wolfram Metzger, et al.. (2024). The acceptance of COVID-19 vaccines in Rwanda: a cross-sectional study. BMC Public Health. 24(1). 2875–2875. 1 indexed citations
10.
Chen, Qiushi, et al.. (2024). Cost-effectiveness of screening for chronic kidney disease using a cumulative eGFR-based statistic. PLoS ONE. 19(3). e0299401–e0299401. 3 indexed citations
11.
Chen, Qiushi, Lirui Jiao, Xuedi Ma, et al.. (2024). The impact of health insurance on hypertension care: a household fixed effects study in India. BMC Public Health. 24(1). 2287–2287. 1 indexed citations
12.
Jones, Abenaa, et al.. (2023). A scoping review of the opioid epidemic among U.S. Immigrants: Implications for treatment practices. Journal of Ethnicity in Substance Abuse. 23(4). 660–678.
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Chhatwal, Jagpreet, Peter P. Mueller, Qiushi Chen, et al.. (2023). Estimated Reductions in Opioid Overdose Deaths With Sustainment of Public Health Interventions in 4 US States. JAMA Network Open. 6(6). e2314925–e2314925. 19 indexed citations
14.
Liu, Weina, Fengyun Yu, Pascal Geldsetzer, et al.. (2022). Prevalence of depression in China during the early stage of the COVID-19 pandemic: a cross-sectional study in an online survey sample. BMJ Open. 12(3). e056667–e056667. 13 indexed citations
15.
Mueller, Peter P., Qiushi Chen, Turgay Ayer, et al.. (2022). Duration and cost-effectiveness of hepatocellular carcinoma surveillance in hepatitis C patients after viral eradication. Journal of Hepatology. 77(1). 55–62. 25 indexed citations
16.
Yu, Fengyun, Pascal Geldsetzer, Juntao Yang, et al.. (2021). Knowledge About COVID-19 Among Adults in China: Cross-sectional Online Survey. Journal of Medical Internet Research. 23(4). e26940–e26940. 15 indexed citations
17.
Hayashi, Tomoyuki, et al.. (2020). Estimating the price at which hepatitis C treatment with direct-acting antivirals would be cost-saving in Japan. Scientific Reports. 10(1). 4089–4089. 11 indexed citations
18.
Chen, Qiushi, Turgay Ayer, Emily D. Bethea, et al.. (2019). Changes in hepatitis C burden and treatment trends in Europe during the era of direct-acting antivirals: a modelling study. BMJ Open. 9(6). e026726–e026726. 31 indexed citations
19.
Goel, Amit, Qiushi Chen, Jagpreet Chhatwal, & Rakesh Aggarwal. (2018). Cost‐effectiveness of generic pan‐genotypic sofosbuvir/velpatasvir versus genotype‐dependent direct‐acting antivirals for hepatitis C treatment. Journal of Gastroenterology and Hepatology. 33(12). 2029–2036. 30 indexed citations
20.
Chhatwal, Jagpreet, Qiushi Chen, & Rakesh Aggarwal. (2018). Estimation of Hepatitis C Disease Burden and Budget Impact of Treatment Using Health Economic Modeling. Infectious Disease Clinics of North America. 32(2). 461–480. 16 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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