Hao Ma

4.4k total citations · 4 hit papers
96 papers, 2.6k citations indexed

About

Hao Ma is a scholar working on Public Health, Environmental and Occupational Health, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Hao Ma has authored 96 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Public Health, Environmental and Occupational Health, 25 papers in Physiology and 24 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Hao Ma's work include Nutritional Studies and Diet (21 papers), Cardiovascular Health and Risk Factors (16 papers) and Diet and metabolism studies (13 papers). Hao Ma is often cited by papers focused on Nutritional Studies and Diet (21 papers), Cardiovascular Health and Risk Factors (16 papers) and Diet and metabolism studies (13 papers). Hao Ma collaborates with scholars based in United States, China and Netherlands. Hao Ma's co-authors include Lu Qi, Xiang Li, Yoriko Heianza, Tao Zhou, Mengying Wang, Zhaoxia Liang, Ray Ming, Xuan Wang, Zhiyong Liu and Paul H. Moore and has published in prestigious journals such as Nature, Circulation and Journal of the American College of Cardiology.

In The Last Decade

Hao Ma

86 papers receiving 2.6k citations

Hit Papers

Association of Cardiovasc... 2023 2026 2024 2023 2023 2023 2023 25 50 75 100

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hao Ma 488 464 451 451 400 96 2.6k
Yasuhiko Wada 190 0.4× 125 0.3× 394 0.9× 575 1.3× 285 0.7× 139 3.0k
Lulu Song 418 0.9× 166 0.4× 190 0.4× 199 0.4× 281 0.7× 150 2.0k
Xiang Li 455 0.9× 84 0.2× 708 1.6× 598 1.3× 1.1k 2.7× 189 4.1k
Geng Zong 644 1.3× 131 0.3× 342 0.8× 1.2k 2.7× 537 1.3× 106 4.3k
Pengcheng Xun 529 1.1× 214 0.5× 193 0.4× 1.1k 2.5× 408 1.0× 141 4.1k
Weijing Wang 274 0.6× 140 0.3× 152 0.3× 413 0.9× 378 0.9× 127 2.1k
Chaoqiang Jiang 126 0.3× 712 1.5× 130 0.3× 284 0.6× 188 0.5× 108 2.1k
Alessandro Leone 155 0.3× 1.0k 2.2× 178 0.4× 682 1.5× 167 0.4× 103 2.9k
Amanda Devine 154 0.3× 196 0.4× 249 0.6× 1.3k 2.8× 819 2.0× 175 5.6k
Chang Su 181 0.4× 61 0.1× 266 0.6× 985 2.2× 477 1.2× 252 3.2k

Countries citing papers authored by Hao Ma

Since Specialization
Citations

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

Fields of papers citing papers by Hao Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Ma. A scholar is included among the top collaborators of Hao 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 Hao Ma. Hao 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
2.
Lei, Lei, et al.. (2024). Effects of household solid fuel use on sarcopenia in middle-aged and older adults: evidence from a nationwide cohort study. Frontiers in Public Health. 12. 1337979–1337979. 5 indexed citations
3.
Ma, Hao, et al.. (2024). Mechanism of muscle atrophy in a normal-weight rat model of type 2 diabetes established by using a soft-pellet diet. Scientific Reports. 14(1). 7670–7670. 3 indexed citations
4.
Li, Xiang, Xuan Wang, Hao Ma, et al.. (2024). Association of white matter hyperintensities with BMD, incident fractures, and falls in the UK Biobank cohort. Journal of Bone and Mineral Research. 39(4). 408–416. 1 indexed citations
6.
Hu, Ying, Xiang Li, Xuan Wang, et al.. (2024). Smoking timing, genetic susceptibility and the risk of incident type 2 diabetes: A cohort study from the UK Biobank. Diabetes Obesity and Metabolism. 26(7). 2850–2859. 2 indexed citations
7.
Wang, Xuan, Hao Ma, Xiang Li, et al.. (2024). Risk factor control and incident cardiovascular disease in patients with diabetes: Sex‐specific relations. Diabetes Obesity and Metabolism. 26(4). 1421–1429. 2 indexed citations
8.
Kou, Minghao, Xiang Li, Xuan Wang, et al.. (2024). Degree of joint risk factor control and incident chronic kidney disease among individuals with obesity. Diabetes Obesity and Metabolism. 26(11). 4864–4874. 2 indexed citations
9.
Wang, Xuan, Hao Ma, Xiang Li, et al.. (2023). Association of Cardiovascular Health With Life Expectancy Free of Cardiovascular Disease, Diabetes, Cancer, and Dementia in UK Adults. JAMA Internal Medicine. 183(4). 340–340. 106 indexed citations breakdown →
10.
Zhou, Tao, Yu Yuan, Qiaochu Xue, et al.. (2023). Adherence to a healthy sleep pattern is associated with lower risks of incident falls and fractures during aging. Frontiers in Immunology. 14. 1234102–1234102. 5 indexed citations
11.
Song, Qiying, Mengying Wang, Tao Zhou, et al.. (2022). The Lifestyle-Related Cardiovascular Risk Is Modified by Sleep Patterns. Mayo Clinic Proceedings. 97(3). 519–530. 21 indexed citations
13.
Geng, Tingting, Xiang Li, Hao Ma, Yoriko Heianza, & Lu Qi. (2022). Adherence to a Healthy Sleep Pattern and Risk of Chronic Kidney Disease: The UK Biobank Study. Mayo Clinic Proceedings. 97(1). 68–77. 44 indexed citations
14.
Zhou, Tao, Yu Yuan, Qiaochu Xue, et al.. (2021). Adherence to a healthy sleep pattern is associated with lower risks of all‐cause, cardiovascular and cancer‐specific mortality. Journal of Internal Medicine. 291(1). 64–71. 65 indexed citations
15.
Ma, Hao, Xiang Li, Tao Zhou, et al.. (2021). Alcohol Consumption Levels as Compared With Drinking Habits in Predicting All-Cause Mortality and Cause-Specific Mortality in Current Drinkers. Mayo Clinic Proceedings. 96(7). 1758–1769. 20 indexed citations
16.
Li, Xiang, Tao Zhou, Hao Ma, et al.. (2020). Genetic variation in lean body mass, changes of appetite and weight loss in response to diet interventions: The POUNDS Lost trial. Diabetes Obesity and Metabolism. 22(12). 2305–2315. 13 indexed citations
17.
Li, Xiang, Dianjianyi Sun, Tao Zhou, et al.. (2020). Changes of Branched-Chain Amino Acids and Ectopic Fat in Response to Weight-loss Diets: the POUNDS Lost Trial. The Journal of Clinical Endocrinology & Metabolism. 105(10). e3747–e3756. 7 indexed citations
18.
Zhou, Tao, et al.. (2020). Dietary Fiber, Genetic Variations of Gut Microbiota-derived Short-chain Fatty Acids, and Bone Health in UK Biobank. The Journal of Clinical Endocrinology & Metabolism. 106(1). 201–210. 30 indexed citations
19.
Ma, Hao, Xiaoyan Wu, Xiaoyu Guo, et al.. (2018). Optimal body mass index cut‐off points for prediction of incident diabetes in a Chinese population. Journal of Diabetes. 10(12). 926–933. 6 indexed citations
20.
Ma, Hao, Paul H. Moore, Zhiyong Liu, et al.. (2004). High-Density Linkage Mapping Revealed Suppression of Recombination at the Sex Determination Locus in Papaya. Genetics. 166(1). 419–436. 105 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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