Kevin Lu
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Family Practice top 5%
Papers in
-
- Health Systems, Economic Evaluations, Quality of Life 15
- Epidemiology 19
- Chronic Disease Management Strategies 7
- Co-authors
- Jing Yuan (30 shared papers)Gang Lv (1 shared paper)Minghui Li (1 shared paper)Minghui Li (29 shared papers)Jun Wu (21 shared papers)Xiaomo Xiong (16 shared papers)Ronald Tamler (2 shared papers)Bin Jiang (3 shared papers)
- Journals
- Frontiers in Pharmacology (10 papers)Value in Health (5 papers)BMJ Open (5 papers)JAMA Network Open (3 papers)Journal of Managed Care & Specialty Pharmacy (3 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Kevin Lu
107 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 144
- Modeling and Simulation 151
- Family Practice 55
- Infectious Diseases 368
- Geriatrics and Gerontology 64
- Health 94
Countries citing papers authored by Kevin Lu
This map shows the geographic impact of Kevin Lu'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 Kevin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Lu more than expected).
Fields of papers citing papers by Kevin Lu
This network shows the impact of papers produced by Kevin Lu. 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 Kevin Lu. The network helps show where Kevin Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 207 | |
| 2 | 2006 | 114 | |
| 3 | 2012 | 109 | |
| 4 | 2021 | 68 | |
| 5 | 2015 | 66 | |
| 6 | 2013 | 63 | |
| 7 | 2014 | 52 | |
| 8 | 2021 | 52 | |
| 9 | 2021 | 49 | |
| 10 | 2016 | 37 | |
| 11 | 2021 | 30 | |
| 12 | 2014 | 28 | |
| 13 | 2006 | 25 | |
| 14 | 2022 | 25 | |
| 15 | 2018 | 22 | |
| 16 | 2016 | 21 | |
| 17 | 2015 | 21 | |
| 18 | 2016 | 20 | |
| 19 | 2012 | 19 | |
| 20 | 2018 | 19 |
About Kevin Lu
Kevin Lu is a scholar working on Economics and Econometrics, Epidemiology, Geriatrics and Gerontology, Infectious Diseases and Endocrinology, Diabetes and Metabolism, having authored 115 papers that have together received 1.5k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (15 papers), Pharmaceutical Practices and Patient Outcomes (13 papers), Medication Adherence and Compliance (10 papers), Dementia and Cognitive Impairment Research (8 papers), Chronic Disease Management Strategies (7 papers), Diabetes Management and Education (6 papers), Diabetes Management and Research (5 papers) and HIV/AIDS Research and Interventions (5 papers). The work is most often cited by research in Modeling and Simulation (151 citations), Family Practice (55 citations), Infectious Diseases (368 citations), Geriatrics and Gerontology (64 citations) and Health (94 citations). Kevin Lu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jing Yuan, Gang Lv, Minghui Li, Minghui Li, Jun Wu, Xiaomo Xiong, Ronald Tamler, Bin Jiang, Zachary T. Bloomgarden and Andrew P. Demidowich. Their work appears in journals such as Frontiers in Pharmacology, Value in Health, BMJ Open, JAMA Network Open and Journal of Managed Care & Specialty Pharmacy.
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.