Bei Wu

11.1k total citations · 1 hit paper
466 papers, 7.3k citations indexed

About

Bei Wu is a scholar working on Health, General Health Professions and Sociology and Political Science. According to data from OpenAlex, Bei Wu has authored 466 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 148 papers in Health, 144 papers in General Health Professions and 116 papers in Sociology and Political Science. Recurrent topics in Bei Wu's work include Health disparities and outcomes (144 papers), Dental Health and Care Utilization (93 papers) and Dementia and Cognitive Impairment Research (89 papers). Bei Wu is often cited by papers focused on Health disparities and outcomes (144 papers), Dental Health and Care Utilization (93 papers) and Dementia and Cognitive Impairment Research (89 papers). Bei Wu collaborates with scholars based in United States, China and United Kingdom. Bei Wu's co-authors include Brenda L. Plassman, Hanzhang Xu, Xiang Qi, Jersey Liang, Zheng Zhu, Yaolin Pei, Kyung Hee Lee, Huabin Luo, Eleanor S. McConnell and Shaoqing Ge and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Bei Wu

411 papers receiving 7.1k citations

Hit Papers

Social isolation and loneliness among older adults in the... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bei Wu United States 41 2.1k 2.0k 1.6k 1.4k 1.3k 466 7.3k
Jersey Liang United States 55 2.2k 1.1× 3.5k 1.8× 423 0.3× 1.6k 1.2× 713 0.5× 194 7.2k
Tarani Chandola United Kingdom 56 5.4k 2.6× 2.5k 1.3× 463 0.3× 1.4k 1.0× 491 0.4× 162 11.0k
André Hajek Germany 34 1.9k 0.9× 1.9k 0.9× 207 0.1× 965 0.7× 534 0.4× 424 5.1k
Ingalill Rahm Hallberg Sweden 56 4.1k 2.0× 1.3k 0.6× 177 0.1× 1.3k 1.0× 1.7k 1.3× 225 9.1k
Antti Uutela Finland 48 2.5k 1.2× 1.5k 0.7× 368 0.2× 604 0.4× 429 0.3× 160 7.2k
Anita Liberalesso Néri Brazil 35 2.0k 1.0× 1.4k 0.7× 137 0.1× 513 0.4× 973 0.7× 276 5.7k
Hans‐Helmut König Germany 58 5.2k 2.5× 3.3k 1.6× 188 0.1× 1.8k 1.4× 3.0k 2.3× 734 15.9k
César de Oliveira United Kingdom 43 890 0.4× 875 0.4× 1.1k 0.7× 204 0.2× 448 0.3× 223 5.7k
Bruna Galobardes United Kingdom 29 2.3k 1.1× 2.5k 1.2× 281 0.2× 477 0.4× 626 0.5× 58 7.4k
David Blane United Kingdom 48 4.5k 2.2× 5.2k 2.6× 140 0.1× 1.3k 1.0× 412 0.3× 120 10.1k

Countries citing papers authored by Bei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Bei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bei Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Bei Wu. A scholar is included among the top collaborators of Bei Wu 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 Bei Wu. Bei Wu 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.
Zheng, Yaguang, et al.. (2025). Natural Language Processing for Automated Extraction of Continuous Glucose Monitoring Data. Diabetes Care. 48(12). 2138–2144.
3.
4.
Wu, Bei, Hongshan Li, Xiangbo Zhang, et al.. (2024). Mammalian reovirus µ1 protein attenuates RIG-I and MDA5-mediated signaling transduction by blocking IRF3 phosphorylation and nuclear translocation. Molecular Immunology. 170. 131–143. 4 indexed citations
6.
Wang, Yixiao, Bei Wu, & Wei Yang. (2024). Can formal home and community-based care substitute informal care? Evidence from Chinese Longitudinal Healthy Longevity Survey. BMC Geriatrics. 24(1). 2 indexed citations
7.
Yang, Zhongfang, Jing Wang, Yue Zhang, et al.. (2024). Using Narrative Transportation Theory to Build Interventions that Reduce Perceived Stigma Among Women Living with HIV/AIDS. Journal of General Internal Medicine. 40(3). 666–673. 2 indexed citations
8.
Irazusta, Jon, Maider Kortajarena, Bei Wu, et al.. (2024). Maintaining daily living activities in older adults: The impact of a functional exercise program in long-term nursing homes. A single-group pre-post intervention. Geriatric Nursing. 60. 215–224. 1 indexed citations
9.
Pei, Yaolin, et al.. (2023). The informal discussion of advance care planning among Chinese older adults: Do education and social media use matter?. Geriatric Nursing. 55. 1–5. 2 indexed citations
10.
Zhu, Zheng, Xiang Qi, Yaguang Zheng, Yaolin Pei, & Bei Wu. (2023). Age differences in the effects of multi-component periodontal treatments on oral and metabolic health among people with diabetes mellitus: A meta-epidemiological study. Journal of Dentistry. 135. 104594–104594. 6 indexed citations
11.
Jiang, Yanping, Fengyan Tang, & Bei Wu. (2023). IMPACTS OF ACCULTURATION ON HEALTH OF US OLDER CHINESE IMMIGRANTS. Innovation in Aging. 7(Supplement_1). 148–148. 1 indexed citations
12.
Jiang, Yanping, Samuele Zilioli, Bei Wu, & Tammy Chung. (2023). Socioeconomic status and morbidity: Are stress exposure, stress reactivity, or both the key mediators?. Psychoneuroendocrinology. 153. 106225–106225. 1 indexed citations
13.
Zhang, Wei, Yan Yan Wu, & Bei Wu. (2022). Racial/Ethnic Disparities in Getting COVID-19 Vaccine: Do Age, Gender, and Education Matter?. Health Equity. 6(1). 500–507. 13 indexed citations
14.
Mao, Weiyu, Bei Wu, Iris Chi, Wei Yang, & XinQi Dong. (2021). Psychological sense of community and oral health problems among older Chinese Americans: Family reunification matters. SHILAP Revista de lepidopterología. 1(1). 100004–100004. 2 indexed citations
15.
Pei, Yaolin, Wei Zhang, & Bei Wu. (2020). Advance Care Planning Engagement and End-of-life Preference Among Older Chinese Americans: Do Family Relationships and Immigrant Status Matter?. Journal of the American Medical Directors Association. 22(2). 340–343. 14 indexed citations
16.
Liang, Yan, Hong Liang, Jing Wang, Hanzhang Xu, & Bei Wu. (2018). End-of-Life Care Preference: Examination of Chinese Adults with Children and Those Who Lost Their Only Child. Journal of Palliative Medicine. 21(11). 1596–1603. 7 indexed citations
17.
Xu, Hanzhang, Truls Østbye, Allison Vorderstrasse, Matthew E. Dupre, & Bei Wu. (2018). Place of Residence and Cognitive Function among the Adult Population in India. Neuroepidemiology. 50(3-4). 119–127. 23 indexed citations
18.
Xu, Hanzhang, Bei Wu, Sara J. Czaja, & Shelia R. Cotten. (2016). ASSOCIATION BETWEEN MIGRATION AND COGNITIVE STATUS: A SYSTEMATIC REVIEW. The Gerontologist. 56(Suppl_3). 724–724. 1 indexed citations
19.
Wu, Bei, Virginia J. Howard, George Howard, et al.. (2016). URINARY INCONTINENCE, DECLINE IN SOCIAL PARTICIPATION AND NEGATIVE MOOD IN OLDER ADULTS. The Gerontologist. 56(Suppl_3). 606–607. 1 indexed citations
20.
Boyd, David L., et al.. (2014). Treatment of Chronic Conditions with Traditional Chinese Medicine: Findings from Traditional Chinese Medicine Hospitals in Hubei, China. The Journal of Alternative and Complementary Medicine. 21(1). 40–45. 15 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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