Jun Ma

17.5k total citations · 1 hit paper
323 papers, 6.6k citations indexed

About

Jun Ma is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jun Ma has authored 323 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Public Health, Environmental and Occupational Health, 92 papers in Pediatrics, Perinatology and Child Health and 51 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jun Ma's work include Obesity, Physical Activity, Diet (110 papers), Birth, Development, and Health (79 papers) and Child Nutrition and Water Access (31 papers). Jun Ma is often cited by papers focused on Obesity, Physical Activity, Diet (110 papers), Birth, Development, and Health (79 papers) and Child Nutrition and Water Access (31 papers). Jun Ma collaborates with scholars based in China, Australia and United States. Jun Ma's co-authors include Bin Dong, Haijun Wang, Zhiyong Zou, Yanhui Dong, Zhiqiang Wang, Yi Song, Yi Song, Yinghua Ma, James M. Cook and Jing Jin and has published in prestigious journals such as The Lancet, Angewandte Chemie International Edition and Circulation.

In The Last Decade

Jun Ma

313 papers receiving 6.5k citations

Hit Papers

Effects of medication-ass... 2018 2026 2020 2023 2018 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Jun Ma 2.6k 1.2k 857 841 802 323 6.6k
Mariachiara Di Cesare 2.1k 0.8× 716 0.6× 823 1.0× 1.3k 1.6× 682 0.9× 47 6.9k
Katherine M. Morrison 1.9k 0.7× 1.5k 1.3× 669 0.8× 1.7k 2.0× 555 0.7× 203 7.2k
Lauren A. Wise 2.8k 1.1× 2.2k 1.9× 557 0.6× 851 1.0× 402 0.5× 454 12.4k
Murielle Bochud 1.3k 0.5× 790 0.7× 1.2k 1.4× 872 1.0× 1.2k 1.5× 251 7.7k
Maurice P. Zeegers 1.8k 0.7× 992 0.9× 1.3k 1.5× 1.1k 1.3× 397 0.5× 323 11.2k
Rino Bellocco 2.4k 0.9× 645 0.6× 1.5k 1.8× 1.8k 2.1× 768 1.0× 224 11.1k
Merete Osler 3.0k 1.1× 1.6k 1.4× 931 1.1× 2.4k 2.8× 862 1.1× 406 11.0k
C. Mary Schooling 1.9k 0.7× 1.5k 1.3× 1.6k 1.8× 1.4k 1.6× 827 1.0× 422 9.7k
Zumin Shi 3.2k 1.2× 711 0.6× 1.1k 1.3× 1.8k 2.1× 533 0.7× 344 8.3k
Fred Paccaud 2.6k 1.0× 681 0.6× 1.1k 1.3× 1.5k 1.8× 2.1k 2.6× 154 8.3k

Countries citing papers authored by Jun Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Ma. A scholar is included among the top collaborators of Jun 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 Jun Ma. Jun 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.
Yin, Lishi, Ling Fan, Juan Liang, et al.. (2025). Prediction Model and Assessment of Work-Related Musculoskeletal Disorders Among Nurses in Tertiary Hospitals in China: A Cross-Sectional Study. British Journal of Hospital Medicine. 86(8). 1–24.
2.
Yuan, Wen, Jieyu Liu, Manman Chen, et al.. (2024). The association of breastfeeding duration on metabolic syndrome among children and adolescents, stratified by birth weight for gestational age. Pediatric Obesity. 19(8). e13145–e13145. 1 indexed citations
5.
Dang, Jiajia, Xi Li, Ning Ma, et al.. (2023). Artificial Light-at-Night Exposure and Overweight and Obesity across GDP Levels among Chinese Children and Adolescents. Nutrients. 15(4). 939–939. 13 indexed citations
6.
Yuan, Wen, Li Chen, Binbin Su, et al.. (2023). Sleep time and quality associated with depression and social anxiety among children and adolescents aged 6–18 years, stratified by body composition. Journal of Affective Disorders. 338. 321–328. 11 indexed citations
7.
Lian, Rong, Zhenghe Wang, Zhiyong Zou, et al.. (2022). Does a Healthy Lifestyle Lower the Elevated Risk of Obesity Caused by Caesarian Section Delivery in Children and Adolescents?. Nutrients. 14(17). 3528–3528. 1 indexed citations
8.
Chen, Zijin, et al.. (2021). Prevalence of and risk factors for high-altitude hyperuricaemia in Bai individuals: a cross-sectional study. Journal of International Medical Research. 49(7). 3619089068–3619089068. 10 indexed citations
9.
Dong, Yanhui, Yinghua Ma, Peijin Hu, et al.. (2020). Ethnicity, socioeconomic status and the nutritional status of Chinese children and adolescents: Findings from three consecutive national surveys between 2005 and 2014. Pediatric Obesity. 15(11). e12664–e12664. 5 indexed citations
10.
Yang, Bo‐Yi, Yuming Guo, Zhiyong Zou, et al.. (2020). Exposure to ambient air pollution and visual impairment in children: A nationwide cross-sectional study in China. Journal of Hazardous Materials. 407. 124750–124750. 32 indexed citations
11.
Wang, Zhenghe, Jie‐Yun Song, Yanhui Li, et al.. (2019). Early-Life Exposure to the Chinese Famine Is Associated with Higher Methylation Level in the INSR Gene in Later Adulthood. Scientific Reports. 9(1). 3354–3354. 16 indexed citations
12.
Dong, Bin, Yanhui Dong, Zhaogeng Yang, et al.. (2019). Healthy Body Weight may Modify Effect of Abnormal Birth Weight on Metabolic Syndrome in Adolescents. Obesity. 27(3). 462–469. 8 indexed citations
13.
Ma, Jun, et al.. (2019). Diversity-oriented submonomer synthesis of azapeptides mediated by the Mitsunobu reaction. Organic Chemistry Frontiers. 6(14). 2529–2533. 13 indexed citations
14.
Wang, Zhenghe, Zhiyong Zou, Haijun Wang, et al.. (2018). Prevalence and risk factors of impaired fasting glucose and diabetes among Chinese children and adolescents: a national observational study. British Journal Of Nutrition. 120(7). 813–819. 17 indexed citations
15.
Wang, Zhenghe, Zhiyong Zou, Bin Dong, Jun Ma, & Luke Arnold. (2018). Association between the Great China Famine exposure in early life and risk of arthritis in adulthood. Journal of Epidemiology & Community Health. 72(9). 790–795. 8 indexed citations
16.
Wang, Jie, et al.. (2017). The Association between Age-Related Macular Degeneration and the Risk of Mortality. BioMed Research International. 2017. 1–7. 6 indexed citations
17.
Li, Yamei, Jiayou Luo, Jun Ma, et al.. (2017). [Prevalence of dyslipidemia and its influential factors in 2 028 students from primary and middle schools in Changsha].. PubMed. 42(6). 673–680. 3 indexed citations
18.
Zhou, Jia, Yinghua Ma, Jun Ma, et al.. (2016). [Prevalence of myopia and influencing factors among primary and middle school students in 6 provinces of China].. PubMed. 37(1). 29–34. 26 indexed citations
19.
Song, Yi, Bing Zhang, Peijin Hu, & Jun Ma. (2014). [Current situation of sleeping duration in Chinese Han students in 2010].. PubMed. 48(7). 596–601. 4 indexed citations
20.
Xu, Haiquan, Yanping Li, Ailing Liu, et al.. (2012). Prevalence of the metabolic syndrome among children from six cities of China. BMC Public Health. 12(1). 13–13. 44 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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