Pei‐Jung Lin

2.5k total citations · 1 hit paper
63 papers, 1.7k citations indexed

About

Pei‐Jung Lin is a scholar working on Economics and Econometrics, General Health Professions and Epidemiology. According to data from OpenAlex, Pei‐Jung Lin has authored 63 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Economics and Econometrics, 26 papers in General Health Professions and 11 papers in Epidemiology. Recurrent topics in Pei‐Jung Lin's work include Health Systems, Economic Evaluations, Quality of Life (27 papers), Geriatric Care and Nursing Homes (10 papers) and Pharmaceutical Economics and Policy (9 papers). Pei‐Jung Lin is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (27 papers), Geriatric Care and Nursing Homes (10 papers) and Pharmaceutical Economics and Policy (9 papers). Pei‐Jung Lin collaborates with scholars based in United States, United Kingdom and France. Pei‐Jung Lin's co-authors include Peter J. Neumann, Joshua T. Cohen, Howard Fillit, Sheena Westwood, Eleri Jones, Aaron N. Winn, Jessica D. Faul, Karen M. Freund, Yue Zhong and Natalia Olchanski and has published in prestigious journals such as Journal of Clinical Oncology, Blood and JNCI Journal of the National Cancer Institute.

In The Last Decade

Pei‐Jung Lin

63 papers receiving 1.6k citations

Hit Papers

Dementia Diagnosis Disparities by Race and Ethnicity 2021 2026 2022 2024 2021 40 80 120

Peers

Pei‐Jung Lin
Judit Simon Austria
Mark Belger United Kingdom
Duncan Chambers United Kingdom
Jamie C. Barner United States
S Araki United States
Ruth Lewis United Kingdom
Judit Simon Austria
Pei‐Jung Lin
Citations per year, relative to Pei‐Jung Lin Pei‐Jung Lin (= 1×) peers Judit Simon

Countries citing papers authored by Pei‐Jung Lin

Since Specialization
Citations

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

Fields of papers citing papers by Pei‐Jung Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei‐Jung Lin. 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 Pei‐Jung Lin. The network helps show where Pei‐Jung Lin may publish in the future.

Co-authorship network of co-authors of Pei‐Jung Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Pei‐Jung Lin. A scholar is included among the top collaborators of Pei‐Jung Lin 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 Pei‐Jung Lin. Pei‐Jung Lin 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
2.
Cohen, Joshua T., et al.. (2024). Impact on quality of life, health care access, and health care utilization of individuals with vitiligo: an analysis of the All of Us research program. Archives of Dermatological Research. 316(8). 554–554. 1 indexed citations
3.
Zur, Richard M., et al.. (2023). Estimating prevalence of early symptomatic Alzheimer's disease in the United States. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 15(4). e12497–e12497. 1 indexed citations
4.
Hlávka, Jakub, Tara A. Lavelle, Peter J. Neumann, & Pei‐Jung Lin. (2022). Addressing Challenges to Alternative Payment Models for New Alzheimer’s Disease Therapies for US Commercial Payers. PharmacoEconomics. 40(7). 647–652. 2 indexed citations
5.
Leech, Ashley A., et al.. (2022). Family Spillover Effects: Are Economic Evaluations Misrepresenting the Value of Healthcare Interventions to Society?. Applied Health Economics and Health Policy. 21(1). 5–10. 18 indexed citations
6.
Mattingly, T. Joseph, R. Brett McQueen, & Pei‐Jung Lin. (2021). Contextual Considerations and Recommendations for Estimating the Value of Alzheimer’s Disease Therapies. PharmacoEconomics. 39(10). 1101–1107. 3 indexed citations
7.
8.
Lavelle, Tara A., Babak Mohit, Wendy J. Ungar, et al.. (2018). Family Spillover Effects in Pediatric Cost-Utility Analyses. Applied Health Economics and Health Policy. 17(2). 163–174. 51 indexed citations
9.
Shah, Gunjan L., Aaron N. Winn, Anita J. Kumar, et al.. (2016). The Utility of the Charlson Comorbidity Index in Predicting Use of Treatment and Survival in Older Lymphoma Patients. Blood. 128(22). 2405–2405. 2 indexed citations
10.
Thorat, Teja, Pei‐Jung Lin, & Peter J. Neumann. (2015). The State of Cost-Utility Analyses in Asia: A Systematic Review. Value in Health Regional Issues. 6. 7–13. 14 indexed citations
11.
Winn, Aaron N., Gunjan L. Shah, Joshua T. Cohen, Pei‐Jung Lin, & Susan K. Parsons. (2015). The Real World Effectiveness of Hematopoietic Transplant Among Elderly Individuals With Multiple Myeloma. JNCI Journal of the National Cancer Institute. 107(8). 24 indexed citations
12.
Shah, Gunjan L., Aaron N. Winn, Pei‐Jung Lin, et al.. (2015). Cost-Effectiveness of Autologous Hematopoietic Stem Cell Transplantation for Elderly Patients with Multiple Myeloma using the Surveillance, Epidemiology, and End Results–Medicare Database. Biology of Blood and Marrow Transplantation. 21(10). 1823–1829. 24 indexed citations
13.
Hallikainen, Ilona, Janne Martikainen, Pei‐Jung Lin, et al.. (2014). The Progression of Alzheimer's Disease Can Be Assessed with a Short Version of the CERAD Neuropsychological Battery: The Kuopio ALSOVA Study. Dementia and Geriatric Cognitive Disorders Extra. 4(3). 494–508. 3 indexed citations
14.
Lin, Pei‐Jung, Michael J. Cangelosi, David W. Lee, & Peter J. Neumann. (2013). Willingness to Pay for Diagnostic Technologies: A Review of the Contingent Valuation Literature. Value in Health. 16(5). 797–805. 52 indexed citations
15.
Lin, Pei‐Jung, Thomas W. Concannon, Dan Greenberg, et al.. (2013). Does framing of cancer survival affect perceived value of care? A willingness-to-pay survey of US residents. Expert Review of Pharmacoeconomics & Outcomes Research. 13(4). 513–522. 14 indexed citations
16.
Maciejewski, Matthew L., Virginia Wang, David C. Grabowski, & Pei‐Jung Lin. (2011). Early Evidence on the Quality of Care Provided by Special Needs Plans. Medical Care. 49(10). 891–896. 2 indexed citations
17.
Neumann, Peter J., Pei‐Jung Lin, & Tom Hughes. (2011). US FDA Modernization Act, Section 114. PharmacoEconomics. 29(8). 687–692. 8 indexed citations
18.
Lin, Pei‐Jung, Matthew L. Maciejewski, John E. Paul, & Andrea K. Biddle. (2010). Risk adjustment for Medicare beneficiaries with Alzheimer's disease and related dementias.. PubMed. 16(3). 191–8. 9 indexed citations
19.
Shaya, Fadia T., Yan Xia, Pei‐Jung Lin, et al.. (2010). US Trends in Glycemic Control, Treatment, and Comorbidity Burden in Patients With Diabetes. Journal of Clinical Hypertension. 12(10). 826–832. 25 indexed citations
20.
Lin, Pei‐Jung, Eleri Jones, & Sheena Westwood. (2009). Perceived Risk and Risk-Relievers in Online Travel Purchase Intentions. Journal of Hospitality Marketing & Management. 18(8). 782–810. 92 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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