Jay Lin

683 citations
18 papers · 471 · h-index 11

Impact in

  • Hepatology top 5%
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease and Transplantation
    • Viral gastroenteritis research and epidemiology
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

Jay Lin

18 papers receiving 463 citations

Peers

Jay Lin
Comparison fields: 5 of 82
  • Hepatology 140
  • Infectious Diseases 285
  • Modeling and Simulation 36
  • Internal Medicine 28
  • Health 33
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Dima Dandachi United States
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Citations per field
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Citations per year

Countries citing papers authored by Jay Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jay Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jay Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jay Lin Line = papers co-authored together Jay Lin links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2021135
2 201351
3 202247
4 201045
5 201633
6 201531
7 201430
8
Appropriate thromboprophylaxis in hospitalized cancer patients.
200828
9 201020
10 201616
11 202213
12
Improving quality of care in oncology through healthcare payment reform.
201810
13 20237
14
Initiating Injectable Therapy in US Managed Care Patients With Diabetes
20141
15
Abstract 17298: Real-world Evaluation of Healthcare Resource Use and Costs of Elderly Patients With Nonvalvular Atrial Fibrillation Treated With Apixaban vs. Warfarin in the US
20161
16 20151
17 20191
18 20151

About Jay Lin

Jay Lin is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Epidemiology, Hepatology and Economics and Econometrics, having authored 18 papers that have together received 471 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (4 papers), Hepatitis Viruses Studies and Epidemiology (4 papers), COVID-19 Clinical Research Studies (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Liver Disease and Transplantation (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers) and Medication Adherence and Compliance (2 papers). The work is most often cited by research in Hepatology (140 citations), Infectious Diseases (285 citations), Modeling and Simulation (36 citations), Internal Medicine (28 citations) and Health (33 citations). Jay Lin has collaborated with scholars based in United States, Sweden and France. Frequent co-authors include Frederik Widén, Heléne Norder, Manuela Di Fusco, Jennifer L. Nguyen, Deepa Malhotra, Anita Sung, Birol Emir, Jennifer Hammond, Michael Benigno and Kimberly M. Shea. Their work appears in journals such as Journal of Medical Economics, Circulation Cardiovascular Quality and Outcomes, Virology Journal, Journal of Managed Care & Specialty Pharmacy and The American Journal of Managed Care.

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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