Birong Dong

12.3k total citations · 3 hit papers
217 papers, 6.1k citations indexed

About

Birong Dong is a scholar working on Physiology, Geriatrics and Gerontology and Psychiatry and Mental health. According to data from OpenAlex, Birong Dong has authored 217 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Physiology, 84 papers in Geriatrics and Gerontology and 43 papers in Psychiatry and Mental health. Recurrent topics in Birong Dong's work include Nutrition and Health in Aging (100 papers), Frailty in Older Adults (81 papers) and Body Composition Measurement Techniques (30 papers). Birong Dong is often cited by papers focused on Nutrition and Health in Aging (100 papers), Frailty in Older Adults (81 papers) and Body Composition Measurement Techniques (30 papers). Birong Dong collaborates with scholars based in China, United States and Japan. Birong Dong's co-authors include Qiukui Hao, Jirong Yue, Ming Yang, Li Cao, Shan Hai, Yanjiao Shen, Xin Xia, Jianghua Zhou, Yan Zhang and Joseph H. Flaherty and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Scientific Reports.

In The Last Decade

Birong Dong

207 papers receiving 6.0k citations

Hit Papers

An International Definition for “Nursing Home” 2015 2026 2018 2022 2015 2022 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Birong Dong China 41 3.0k 2.0k 891 889 658 217 6.1k
Pınar Soysal Türkiye 33 2.4k 0.8× 1.7k 0.9× 598 0.7× 1.1k 1.3× 597 0.9× 259 5.7k
Louise M. Waite Australia 38 2.2k 0.7× 1.9k 1.0× 497 0.6× 1.2k 1.4× 641 1.0× 176 6.3k
Andrea Russo Italy 40 2.8k 0.9× 1.5k 0.8× 443 0.5× 748 0.8× 439 0.7× 105 5.5k
Philipe de Souto Barreto France 38 1.9k 0.6× 1.3k 0.7× 589 0.7× 980 1.1× 512 0.8× 216 4.3k
Soham Al Snih United States 40 2.4k 0.8× 1.8k 0.9× 828 0.9× 1.1k 1.2× 779 1.2× 166 5.4k
Hélène Payette Canada 49 3.4k 1.1× 1.1k 0.6× 739 0.8× 658 0.7× 1.7k 2.5× 138 6.5k
Susan Kirkland Canada 35 1.6k 0.5× 1.1k 0.5× 517 0.6× 534 0.6× 612 0.9× 149 4.8k
Vasi Naganathan Australia 44 2.4k 0.8× 3.2k 1.6× 769 0.9× 850 1.0× 867 1.3× 278 8.5k
Li‐Ning Peng Taiwan 34 2.1k 0.7× 1.7k 0.9× 456 0.5× 905 1.0× 380 0.6× 189 4.2k
Helen C. Roberts United Kingdom 40 4.2k 1.4× 2.8k 1.4× 1.0k 1.1× 1.2k 1.3× 967 1.5× 168 8.4k

Countries citing papers authored by Birong Dong

Since Specialization
Citations

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

Fields of papers citing papers by Birong Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Birong Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Birong Dong. A scholar is included among the top collaborators of Birong Dong 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 Birong Dong. Birong Dong 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
1.
Zhang, Gongchang, Fengjuan Hu, Xiaoqing Ma, et al.. (2024). The recent development, application, and future prospects of muscle atrophy animal models. SHILAP Revista de lepidopterología. 3(4). 2 indexed citations
2.
Hou, Lisha, Jirong Yue, Xiaolei Liu, et al.. (2024). Association between sarcopenia grade and fall history among older adults in West China: A retrospective study. BMJ Open. 14(2). e080426–e080426. 1 indexed citations
4.
Chen, Xiaohong, Lisha Hou, Jirong Yue, et al.. (2023). Cut-off points of the Ishii test to diagnosing severe sarcopenia among multi-ethnic middle-aged to older adults: results from the West China Health and Aging Trend study. Frontiers in Medicine. 10. 1176128–1176128. 1 indexed citations
6.
Zhu, Bin, et al.. (2023). Effect of China’s long-term care insurance on health outcomes of older disabled people: role of institutional care. International Journal for Quality in Health Care. 35(3). 5 indexed citations
7.
Zhao, Wanyu, et al.. (2022). Prevalence and correlates of disability among urban–rural older adults in Southwest China: a large, population-based study. BMC Geriatrics. 22(1). 517–517. 17 indexed citations
8.
Sun, Xuelian, Yu Liu, Meiling Ge, et al.. (2022). Plasma metabolomics and lipidomics signatures of motoric cognitive risk syndrome in community-dwelling older adults. Frontiers in Aging Neuroscience. 14. 977191–977191. 5 indexed citations
9.
Yang, Xue, et al.. (2020). Association between Frailty and Albuminuria among Older Chinese Inpatients. The journal of nutrition health & aging. 25(2). 197–200. 6 indexed citations
10.
Bai, Xiaojuan, Xiaohong Liu, Xiaoying Li, et al.. (2019). Suggestions on the standard of establishment and management of geriatric department. Zhonghua laonian yixue zazhi. 38(1). 1–3. 1 indexed citations
11.
Wang, Hui, Shan Hai, Yixin Liu, Ying Liu, & Birong Dong. (2019). Skeletal Muscle Mass as a Mortality Predictor among Nonagenarians and Centenarians: A Prospective Cohort Study. Scientific Reports. 9(1). 2420–2420. 44 indexed citations
12.
Sun, Xuelian, Qiukui Hao, Ren‐Jie Tang, et al.. (2019). Frailty and Rejuvenation with Stem Cells: Therapeutic Opportunities and Clinical Challenges. Rejuvenation Research. 22(6). 484–497. 16 indexed citations
13.
Hao, Qiukui, Birong Dong, Ming Yang, Biao Dong, & Yuquan Wei. (2018). Frailty and Cognitive Impairment in Predicting Mortality Among Oldest-Old People. Frontiers in Aging Neuroscience. 10. 295–295. 70 indexed citations
14.
Ma, Lina, Zhenzhen Li, Zhe Tang, et al.. (2017). Prevalence and socio-demographic characteristics of disability in older adults in China: Findings from China Comprehensive Geriatric Assessment Study. Archives of Gerontology and Geriatrics. 73. 199–203. 32 indexed citations
15.
Hao, Qiukui, Jun Li, Birong Dong, & Xiaoying Li. (2017). Chinese experts consensus on assessment and intervention for elderly patients with frailty. Zhonghua laonian yixue zazhi. 36(3). 251–256. 26 indexed citations
16.
Zhang, Tiemei, Pulin Yu, Senlin Luo, et al.. (2016). Gait speed as on indicator for vigorous elders in comprehensive geriatrics assessment. Zhonghua laonian yixue zazhi. 35(6). 656–661. 3 indexed citations
17.
Sanford, Angela M., Martin Orrell, Debbie Tolson, et al.. (2015). An International Definition for “Nursing Home”. Journal of the American Medical Directors Association. 16(3). 181–184. 312 indexed citations breakdown →
18.
Yang, Ming, et al.. (2013). Body Mass Index and Disability in Chinese Nonagenarians and Centenarians. Journal of the American Medical Directors Association. 15(4). 303.e1–303.e6. 17 indexed citations
19.
Zhou, Yan, Huang Changquan, Zhenchan Lu, & Birong Dong. (2012). Association of serum uric acid with Pro12Ala polymorphism in PPAR-γ2 among Chinese nonagenarians/centenarians. Aging Clinical and Experimental Research. 24(2). 139–144. 3 indexed citations
20.
Dong, Birong. (2005). Effect of Statins on Bone Mineral Density in the Elderly. Zhongguo xunzheng yixue zazhi. 1 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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