Lina Ma

5.1k total citations · 1 hit paper
152 papers, 3.4k citations indexed

About

Lina Ma is a scholar working on Physiology, Geriatrics and Gerontology and Economics and Econometrics. According to data from OpenAlex, Lina Ma has authored 152 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Physiology, 64 papers in Geriatrics and Gerontology and 23 papers in Economics and Econometrics. Recurrent topics in Lina Ma's work include Frailty in Older Adults (56 papers), Nutrition and Health in Aging (46 papers) and Health Systems, Economic Evaluations, Quality of Life (23 papers). Lina Ma is often cited by papers focused on Frailty in Older Adults (56 papers), Nutrition and Health in Aging (46 papers) and Health Systems, Economic Evaluations, Quality of Life (23 papers). Lina Ma collaborates with scholars based in China, United States and Netherlands. Lina Ma's co-authors include Zhe Tang, Yaxin Zhang, Fei Sun, Yujing Chen, Yun Li, Jagadish K. Chhetri, Zhiwei Zhao, Piu Chan, Li Zhang and Jieyu Wang and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Advanced Functional Materials.

In The Last Decade

Lina Ma

144 papers receiving 3.3k citations

Hit Papers

Depression and cardiovascular disease in elderly: Current... 2017 2026 2020 2023 2017 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
Lina Ma China 32 1.3k 1.3k 505 391 391 152 3.4k
Liang Feng Singapore 26 1.2k 0.9× 1.1k 0.9× 460 0.9× 242 0.6× 598 1.5× 57 2.8k
Ahmet Turan Işık Türkiye 33 1.6k 1.2× 1.1k 0.9× 306 0.6× 469 1.2× 757 1.9× 202 4.6k
Suzanne C. Ho Hong Kong 36 1.2k 0.9× 617 0.5× 340 0.7× 355 0.9× 335 0.9× 97 4.5k
Miji Kim South Korea 29 2.3k 1.7× 1.2k 0.9× 251 0.5× 223 0.6× 521 1.3× 191 3.6k
Sara Espinoza United States 26 1.1k 0.8× 1.0k 0.8× 436 0.9× 183 0.5× 158 0.4× 87 2.2k
Patricia Schofield United Kingdom 26 873 0.7× 706 0.5× 303 0.6× 155 0.4× 406 1.0× 80 2.7k
Kenji Toba Japan 38 2.0k 1.5× 1.1k 0.8× 324 0.6× 470 1.2× 1.1k 2.9× 184 6.3k
Anne Rentoumis Cappola United States 50 2.2k 1.6× 1.2k 0.9× 431 0.9× 761 1.9× 408 1.0× 136 10.5k
Howard Fillit United States 37 1.4k 1.0× 465 0.4× 438 0.9× 304 0.8× 1.3k 3.2× 124 4.2k
Dorota Religa Sweden 35 1.4k 1.1× 453 0.4× 265 0.5× 407 1.0× 1.6k 4.1× 131 4.2k

Countries citing papers authored by Lina Ma

Since Specialization
Citations

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

Fields of papers citing papers by Lina Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lina Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Lina Ma. A scholar is included among the top collaborators of Lina Ma 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 Lina Ma. Lina Ma 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.
Feng, Xiaofang, Lina Ma, Tong Mu, et al.. (2024). Mining key circRNA-associated-ceRNA networks for milk fat metabolism in cows with varying milk fat percentages. BMC Genomics. 25(1). 323–323. 2 indexed citations
2.
Zhao, Fangfang, et al.. (2024). Construction and Verification of Urinary Tract Infection Prediction Model for Hospitalized Rehabilitation Patients with Spinal Cord Injury. World Neurosurgery. 188. e396–e404. 1 indexed citations
3.
Ma, Lina, et al.. (2024). Development and validation of a functional ability index for older adults: a multicohort study. Age and Ageing. 53(10). 2 indexed citations
4.
Li, Hao, Qingfeng Liang, Xuchen Zhang, et al.. (2023). A novel chemokine biomarker to distinguish active tuberculosis from latent tuberculosis: a cohort study. QJM. 116(12). 1002–1009. 10 indexed citations
5.
Liu, Pan, Yaru Zhou, Xiaojun Li, et al.. (2023). Association of metformin exposure with low risks of frailty and adverse outcomes in patients with diabetes. European journal of medical research. 28(1). 65–65. 9 indexed citations
6.
Liu, Pan, et al.. (2023). Lysophospholipids and branched chain amino acids are associated with aging: a metabolomics-based study of Chinese adults. European journal of medical research. 28(1). 58–58. 6 indexed citations
7.
Zhou, Yaru & Lina Ma. (2022). Intrinsic Capacity in Older Adults: Recent Advances. Aging and Disease. 13(2). 353–353. 55 indexed citations
8.
Li, Yun, Pan Liu, Yaxin Zhang, et al.. (2022). Metabolomics-Based Frailty Biomarkers in Older Chinese Adults. Frontiers in Medicine. 8. 830723–830723. 14 indexed citations
9.
Liu, Pan, Yun Li, & Lina Ma. (2022). Frailty in rodents: Models, underlying mechanisms, and management. Ageing Research Reviews. 79. 101659–101659. 3 indexed citations
10.
Zhang, Yaxin, et al.. (2021). Reliability and Validity of the Function Impairment Screening Tool in Chinese Older Adults. Frontiers in Medicine. 8. 720607–720607. 5 indexed citations
12.
Gao, Lu, Lina Ma, Jing Luo, et al.. (2021). Trophoblast-derived Lactic Acid Orchestrates Decidual Macrophage Differentiation via SRC/LDHA Signaling in Early Pregnancy. International Journal of Biological Sciences. 18(2). 599–616. 52 indexed citations
13.
Jakobiec, Frederick A., et al.. (2020). Sclerosing Signet Ring Cell Carcinoma of the Lacrimal Gland: A Potentially New Primary Entity. Ocular Oncology and Pathology. 6(4). 265–274. 2 indexed citations
14.
Ma, Lina, et al.. (2019). Meta analysis of clinical characteristics of urinary calculi in children. 21(9). 1339–1344. 1 indexed citations
15.
Zhang, Bin, Lin Li, Na Zhang, et al.. (2019). Efficacy and safety of sirolimus in the treatment of blue rubber bleb naevus syndrome in paediatric patients. Clinical and Experimental Dermatology. 45(1). 79–85. 11 indexed citations
16.
Jakobiec, Frederick A., Lina Ma, Natalie Wolkow, Francis C. Sutula, & Suzanne K. Freitag. (2018). The Significance of Extracellular Cholesterol Crystals or a Cholesterol Granuloma in Xanthelasma. Ocular Oncology and Pathology. 4(6). 345–354. 1 indexed citations
17.
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
18.
Wang, Ping, Long Wang, He Li, et al.. (2016). Efficacy and safety of combined etanercept and iguratimod for active rheumatoid arthritis. Biomedical Research-tokyo. 27(2). 0. 2 indexed citations
19.
Ma, Lina & Zhe Tang. (2015). GW26-e0010 Risk factors for depression in elderly patients with hypertension in Beijing: a cross-sectional study. Journal of the American College of Cardiology. 66(16). C107–C107. 1 indexed citations
20.
Ma, Lina. (2013). Analysis of clinical characteristics of chronic obstructive pulmonary disease obstructive sleep apnea hypopnea syndrome overlap syndrome. 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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