Peiyi Lu
Impact in
- Health top 5%
- Health disparities and outcomes
Papers in
-
- Employment and Welfare Studies 9
- Geriatric Care and Nursing Homes 8
- Food Security and Health in Diverse Populations 5
- Global Health Care Issues 5
- Health 27
- Health disparities and outcomes 25
- Co-authors
- Mack Shelley (30 shared papers)Ying Liang (5 shared papers)Dexia Kong (23 shared papers)Adina Zeki Al Hazzouri (9 shared papers)Katrina Kezios (8 shared papers)Lichuan Wang (5 shared papers)Cai Xu (2 shared papers)Joan K. Davitt (3 shared papers)
- Journals
- Innovation in Aging (6 papers)The Journals of Gerontology Series B (4 papers)Journal of Applied Gerontology (3 papers)Journal of Aging and Health (3 papers)Neurology (2 papers)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Peiyi Lu
54 papers receiving 451 citations
Peers
Comparison fields: 5 of 108
- Health 165
- Neuropsychology and Physiological Psychology 19
- General Health Professions 168
- Demography 58
- Clinical Psychology 74
Countries citing papers authored by Peiyi Lu
This map shows the geographic impact of Peiyi 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 Peiyi Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peiyi Lu more than expected).
Fields of papers citing papers by Peiyi Lu
This network shows the impact of papers produced by Peiyi 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 Peiyi Lu. The network helps show where Peiyi Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Peiyi 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 59 | |
| 2 | 2014 | 40 | |
| 3 | 2017 | 26 | |
| 4 | 2014 | 25 | |
| 5 | 2021 | 19 | |
| 6 | 2022 | 19 | |
| 7 | 2019 | 14 | |
| 8 | 2023 | 14 | |
| 9 | 2020 | 13 | |
| 10 | 2023 | 12 | |
| 11 | 2021 | 12 | |
| 12 | 2023 | 12 | |
| 13 | 2014 | 12 | |
| 14 | 2023 | 11 | |
| 15 | 2019 | 10 | |
| 16 | 2020 | 10 | |
| 17 | 2019 | 10 | |
| 18 | 2022 | 9 | |
| 19 | 2023 | 8 | |
| 20 | 2016 | 8 |
About Peiyi Lu
Peiyi Lu is a scholar working on General Health Professions, Health, Sociology and Political Science, Demography and Clinical Psychology, having authored 62 papers that have together received 464 indexed citations. Recurring topics across this work include Health disparities and outcomes (25 papers), Intergenerational Family Dynamics and Caregiving (15 papers), Employment and Welfare Studies (9 papers), Geriatric Care and Nursing Homes (8 papers), Retirement, Disability, and Employment (6 papers), Migration, Aging, and Tourism Studies (6 papers), Food Security and Health in Diverse Populations (5 papers) and Global Health Care Issues (5 papers). The work is most often cited by research in Health (165 citations), Neuropsychology and Physiological Psychology (19 citations), General Health Professions (168 citations), Demography (58 citations) and Clinical Psychology (74 citations). Peiyi Lu has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Mack Shelley, Ying Liang, Dexia Kong, Adina Zeki Al Hazzouri, Katrina Kezios, Lichuan Wang, Cai Xu, Joan K. Davitt, Sebastián Calónico and Yongnan Zhu. Their work appears in journals such as Innovation in Aging, The Journals of Gerontology Series B, Journal of Applied Gerontology, Journal of Aging and Health and Neurology.
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.