Rulin Ma

1.8k total citations · 1 hit paper
91 papers, 1.3k citations indexed

About

Rulin Ma is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Rulin Ma has authored 91 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Endocrinology, Diabetes and Metabolism, 31 papers in Epidemiology and 24 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Rulin Ma's work include Diabetes, Cardiovascular Risks, and Lipoproteins (30 papers), Liver Disease Diagnosis and Treatment (19 papers) and Lipid metabolism and disorders (13 papers). Rulin Ma is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (30 papers), Liver Disease Diagnosis and Treatment (19 papers) and Lipid metabolism and disorders (13 papers). Rulin Ma collaborates with scholars based in China, United States and Taiwan. Rulin Ma's co-authors include Yusong Ding, Heng Guo, Yizhong Yan, Jia He, Shuxia Guo, Shugang Li, Mei Zhang, Jingyu Zhang, Jiaming Liu and Jiaolong Ma and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Hazardous Materials.

In The Last Decade

Rulin Ma

86 papers receiving 1.3k citations

Hit Papers

Comparison of the effects of imputation methods for missi... 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rulin Ma China 21 321 290 283 173 168 91 1.3k
Yusong Ding China 19 247 0.8× 188 0.6× 242 0.9× 120 0.7× 108 0.6× 61 1.1k
Jiaqi Yang China 25 373 1.2× 238 0.8× 197 0.7× 229 1.3× 254 1.5× 89 1.7k
Eun‐Young Park South Korea 25 511 1.6× 202 0.7× 239 0.8× 168 1.0× 92 0.5× 96 1.8k
Xingguang Zhang China 16 367 1.1× 197 0.7× 268 0.9× 97 0.6× 410 2.4× 52 1.6k
Hong-Kyu Lee South Korea 21 677 2.1× 281 1.0× 356 1.3× 110 0.6× 174 1.0× 42 1.9k
Xiaoyan Zhang China 22 255 0.8× 269 0.9× 199 0.7× 95 0.5× 127 0.8× 97 1.5k
Yanyan Chen China 22 366 1.1× 169 0.6× 854 3.0× 108 0.6× 103 0.6× 111 2.0k
Zhijun Huang China 21 203 0.6× 136 0.5× 145 0.5× 398 2.3× 187 1.1× 117 1.6k
Wei Ding China 28 934 2.9× 270 0.9× 172 0.6× 188 1.1× 174 1.0× 88 2.2k
Dale A. Schuschke United States 28 347 1.1× 228 0.8× 162 0.6× 186 1.1× 189 1.1× 85 1.9k

Countries citing papers authored by Rulin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Rulin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rulin Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Rulin Ma. A scholar is included among the top collaborators of Rulin 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 Rulin Ma. Rulin 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.
Li, Tingting, et al.. (2025). SIRT1 Regulates Iron Metabolism to Attenuate β-Cell Dedifferentiation by Inhibiting FoxO1 Acetylation. Biological Trace Element Research. 204(1). 453–465.
2.
3.
Zhang, Tingyu, Hang Si, Jiali Liao, & Rulin Ma. (2024). Association of plasma BDNF and MMP-9 levels with mild cognitive impairment: a matched case-control study. Scientific Reports. 14(1). 30911–30911. 2 indexed citations
4.
Ma, Rulin, et al.. (2023). Applications of transformers in computer vision. Applied and Computational Engineering. 16(1). 234–241. 1 indexed citations
5.
Li, Yu, Xianghui Zhang, Heng Guo, et al.. (2022). A Cardiovascular Disease Prediction Model Based on Routine Physical Examination Indicators Using Machine Learning Methods: A Cohort Study. Frontiers in Cardiovascular Medicine. 9. 854287–854287. 20 indexed citations
6.
Ma, Rulin, Yusong Ding, Dongsheng Rui, et al.. (2022). Updating Framingham CVD risk score using waist circumference and estimated cardiopulmonary function: a cohort study based on a southern Xinjiang population. BMC Public Health. 22(1). 1715–1715. 4 indexed citations
7.
Wang, Xinping, Shuxia Guo, Yunhua Hu, et al.. (2020). Microarray analysis of long non-coding RNA expression profiles in low high-density lipoprotein cholesterol disease. Lipids in Health and Disease. 19(1). 175–175. 5 indexed citations
8.
Mao, Lei, Xianghui Zhang, Yunhua Hu, et al.. (2019). Nomogram Based on Cytokines for Cardiovascular Diseases in Xinjiang Kazakhs. Mediators of Inflammation. 2019. 1–8. 11 indexed citations
9.
Li, Pei, Rulin Ma, Lixin Dong, et al.. (2019). Autophagy impairment contributes to PBDE-47-induced developmental neurotoxicity and its relationship with apoptosis. Theranostics. 9(15). 4375–4390. 53 indexed citations
10.
He, Jia, Heng Guo, Rulin Ma, et al.. (2018). Study on the prevalence rate and optimal waist circumference cut-off points of obesity for the components of metabolic syndrome in Uygur from Xinjiang. Zhonghua neifenmi daixie zazhi. 34(3). 211–216. 1 indexed citations
11.
Zhang, Shun, Qiang Niu, Hui Gao, et al.. (2016). Excessive apoptosis and defective autophagy contribute to developmental testicular toxicity induced by fluoride. Environmental Pollution. 212. 97–104. 81 indexed citations
12.
Ma, Rulin, Huiling Guo, Yusong Ding, et al.. (2015). Polymorphisms in the PPARγ gene and their association with metabolic syndrome in Uyghurs and Kazakhs from Xinjiang, China. Genetics and Molecular Research. 14(2). 6279–6288. 3 indexed citations
14.
Zhang, Mei, Rulin Ma, Jingyu Zhang, et al.. (2013). Prevalence of hypertension in Uygur, Kazakhs and Han people in rural areas of Xinjiang. 21(12). 1164–1168. 5 indexed citations
15.
Zhang, Shun, Gang Kuang, Guodong Zhao, et al.. (2013). Involvement of the mitochondrial p53 pathway in PBDE-47-induced SH-SY5Y cells apoptosis and its underlying activation mechanism. Food and Chemical Toxicology. 62. 699–706. 56 indexed citations
16.
Ding, Yusong, Rulin Ma, Heng Guo, et al.. (2013). Distribution and influencing factors of dyslipidemia in Uygur adults. Zhonghua neifenmi daixie zazhi. 29(8). 690–692. 1 indexed citations
17.
Li, Chunhui, Shuxia Guo, Rulin Ma, et al.. (2012). [The epidemic situation of metabolic syndrome among the Uygur in Kashgar of Xinjiang in 2010].. PubMed. 46(5). 419–23. 5 indexed citations
18.
Ma, Rulin. (2012). Prevalence of dyslipidemia among Kazakh and Han adult populations in Xinjiang area. Chinese Journal of Public Health. 1 indexed citations
19.
Guo, Shuxia, Zhiming Yang, Heng Guo, et al.. (2010). [Association of lipoprotein lipase gene Hind III and S447X polymorphisms in metabolic syndrome patients among Kazakh and Han ethnics from Xinjiang].. PubMed. 31(9). 992–6. 2 indexed citations
20.
Li, Wenxue, Rulin Ma, Weidong Ji, et al.. (2008). Development of human cell models for assessing the carcinogenic potential of chemicals. Toxicology and Applied Pharmacology. 232(3). 478–486. 30 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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