Junling Ma

6.1k total citations
124 papers, 4.3k citations indexed

About

Junling Ma is a scholar working on Surgery, Modeling and Simulation and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Junling Ma has authored 124 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Surgery, 32 papers in Modeling and Simulation and 29 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Junling Ma's work include Helicobacter pylori-related gastroenterology studies (42 papers), COVID-19 epidemiological studies (31 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (22 papers). Junling Ma is often cited by papers focused on Helicobacter pylori-related gastroenterology studies (42 papers), COVID-19 epidemiological studies (31 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (22 papers). Junling Ma collaborates with scholars based in China, Canada and United States. Junling Ma's co-authors include David J. D. Earn, Wei‐Cheng You, Kai‐Feng Pan, Jiyou Li, Lian Zhang, Weidong Liu, P. van den Driessche, Jonathan Dushoff, Mitchell H. Gail and Zhien Ma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Annals of Internal Medicine and Gastroenterology.

In The Last Decade

Junling Ma

111 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junling Ma China 31 1.6k 1.1k 958 870 795 124 4.3k
Andrew Roddam United Kingdom 33 379 0.2× 644 0.6× 416 0.4× 1.3k 1.5× 554 0.7× 55 4.2k
Silvia Angeletti Italy 37 519 0.3× 514 0.5× 341 0.4× 553 0.6× 1.4k 1.8× 226 6.3k
Edith Lau Hong Kong 20 429 0.3× 877 0.8× 140 0.1× 459 0.5× 1.1k 1.4× 25 4.0k
Kai Sen Tan Singapore 21 254 0.2× 414 0.4× 560 0.6× 213 0.2× 641 0.8× 68 4.6k
Peng Guan China 29 563 0.4× 127 0.1× 266 0.3× 239 0.3× 880 1.1× 99 3.3k
Qiuwei Pan Netherlands 46 674 0.4× 208 0.2× 293 0.3× 271 0.3× 2.2k 2.8× 235 7.9k
Alain‐Jacques Valleron France 42 178 0.1× 2.5k 2.2× 438 0.5× 819 0.9× 492 0.6× 136 6.9k
Susan C. Baker United States 59 1.4k 0.9× 679 0.6× 1.3k 1.4× 746 0.9× 3.5k 4.4× 135 16.1k
Thomas J. Layden United States 38 816 0.5× 141 0.1× 256 0.3× 399 0.5× 954 1.2× 119 6.5k
Jingmin Zhao China 26 526 0.3× 247 0.2× 651 0.7× 152 0.2× 1.1k 1.4× 90 8.0k

Countries citing papers authored by Junling Ma

Since Specialization
Citations

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

Fields of papers citing papers by Junling Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junling Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Junling Ma. A scholar is included among the top collaborators of Junling 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 Junling Ma. Junling 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.
Xian, Jiangfeng, Junling Ma, Xinqiang Chen, et al.. (2025). Robust and precise drowning target localization under dual-parameters uncertainty. Regional Studies in Marine Science. 85. 104131–104131. 3 indexed citations
2.
3.
Driessche, P. van den, et al.. (2025). Distributions of prevalence and daily new cases in a stochastic linear SEIR model. Mathematical Biosciences. 388. 109508–109508.
4.
Wu, Yi‐Long, Hui Liu, Yue Qin, et al.. (2025). Association between multimorbidity and having less than 20 natural teeth among Chinese older adults: a cross-sectional study. Scientific Reports. 15(1). 7865–7865.
5.
Peng, Lei, Yang Guo, Markus Gerhard, et al.. (2023). Metabolite Alterations and Interactions with Microbiota in Helicobacter pylori-Associated Gastric Lesions. Microbiology Spectrum. 11(4). e0534722–e0534722. 6 indexed citations
6.
Su, Xiangqian, Zongchao Liu, Xuan Han, et al.. (2022). Allium vegetable intake associated with the risk of incident gastric cancer: a continuous follow-up study of a randomized intervention trial. American Journal of Clinical Nutrition. 117(1). 22–32. 7 indexed citations
7.
Ibrahim, Slim, et al.. (2022). Generating function approach to the effective degree SIR model. Journal of Mathematical Biology. 84(7). 59–59.
8.
Li, Meili, et al.. (2021). Estimating the quarantine failure rate for COVID-19. Infectious Disease Modelling. 6. 924–929. 2 indexed citations
9.
Gao, Le, Shuqing Yu, Qingxin Zhou, et al.. (2020). [Construction of key question list in the evidence-based guidelines for colorectal cancer screening in China].. PubMed. 41(2). 267–272.
10.
Guo, Yang, Yang Zhang, Markus Gerhard, et al.. (2019). Effect of Helicobacter pylori on gastrointestinal microbiota: a population-based study in Linqu, a high-risk area of gastric cancer. Gut. 69(9). 1598–1607. 221 indexed citations
11.
Wu, Si, Yang Zhang, Lian Zhang, et al.. (2018). Methylation and Expression of Nonclustered Protocadherins Encoding Genes and Risk of Precancerous Gastric Lesions in a High-Risk Population. Cancer Prevention Research. 11(11). 717–726. 3 indexed citations
12.
Gao, Juanjuan, Yang Zhang, Markus Gerhard, et al.. (2018). Association Between Gut Microbiota and Helicobacter pylori-Related Gastric Lesions in a High-Risk Population of Gastric Cancer. Frontiers in Cellular and Infection Microbiology. 8. 202–202. 110 indexed citations
13.
14.
Zhang, Yang, Hongmei Zeng, Lian Zhang, et al.. (2016). Alterations of Cyclooxygenase-2 Methylation Levels Before and After Intervention Trial to Prevent Gastric Cancer in a Chinese Population. Cancer Prevention Research. 9(6). 484–490. 3 indexed citations
15.
Zhao, Yu, Sanling Yuan, & Junling Ma. (2015). Survival and Stationary Distribution Analysis of a Stochastic Competitive Model of Three Species in a Polluted Environment. Bulletin of Mathematical Biology. 77(7). 1285–1326. 108 indexed citations
16.
Li, Meili, Junling Ma, & P. van den Driessche. (2014). Model for disease dynamics of a waterborne pathogen on a random network. Journal of Mathematical Biology. 71(4). 961–977. 24 indexed citations
17.
Lu, Yanli, Yi Li, Qi Wu, et al.. (2013). [Comparison of two gastric cancer screening schemes in a high-risk population].. PubMed. 35(5). 394–7. 5 indexed citations
18.
Ma, Junling, P. van den Driessche, & Frederick H. Willeboordse. (2013). The importance of contact network topology for the success of vaccination strategies. Journal of Theoretical Biology. 325. 12–21. 17 indexed citations
19.
Zeng, Hongmei, Kai‐Feng Pan, Yang Zhang, et al.. (2011). Genetic Variants of Toll-Like Receptor 2 and 5, Helicobacter Pylori Infection, and Risk of Gastric Cancer and Its Precursors in a Chinese Population. Cancer Epidemiology Biomarkers & Prevention. 20(12). 2594–2602. 68 indexed citations
20.
Ma, Junling. (2009). Analysis of Cancer Incidence in 2005 in Linqu County, Shandong Province. 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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