Yunlong Ma

3.7k total citations · 1 hit paper
75 papers, 2.4k citations indexed

About

Yunlong Ma is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Yunlong Ma has authored 75 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 18 papers in Genetics and 15 papers in Physiology. Recurrent topics in Yunlong Ma's work include Genetic Associations and Epidemiology (17 papers), Smoking Behavior and Cessation (13 papers) and Nicotinic Acetylcholine Receptors Study (10 papers). Yunlong Ma is often cited by papers focused on Genetic Associations and Epidemiology (17 papers), Smoking Behavior and Cessation (13 papers) and Nicotinic Acetylcholine Receptors Study (10 papers). Yunlong Ma collaborates with scholars based in China, United States and Ireland. Yunlong Ma's co-authors include Richard E. Straub, Kenneth S. Kendler, Bradley T. Webb, Maxim V. Myakishev, Ming D. Li, Brandon Wormley, F. Anthony O’Neill, Carole Harris‐Kerr, Charles J. MacLean and Dermot Walsh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Cell and Scientific Reports.

In The Last Decade

Yunlong Ma

72 papers receiving 2.3k citations

Hit Papers

Genetic Variation in the 6p22.3 Gene DTNBP1, the Human Or... 2002 2026 2010 2018 2002 200 400 600

Peers

Yunlong Ma
Alasdair MacKenzie United Kingdom
Yunlong Ma
Citations per year, relative to Yunlong Ma Yunlong Ma (= 1×) peers Alasdair MacKenzie

Countries citing papers authored by Yunlong Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yunlong Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunlong Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Yunlong Ma. A scholar is included among the top collaborators of Yunlong 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 Yunlong Ma. Yunlong 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.
Guo, Xiaoli, et al.. (2025). Regulatory network of ammonium and nitrate uptake and utilization in rice. Frontiers in Plant Science. 16. 1656041–1656041.
2.
Zhang, Fengyu, Ming Zhu, Guiquan Wang, et al.. (2025). Harnessing omics data for drug discovery and development in ovarian aging. Human Reproduction Update. 31(3). 240–268. 7 indexed citations
3.
Zhou, Gang, Yunlong Ma, Bo Wei, et al.. (2025). Sustainable self-powered PVDF fibrous filter medias based on triboelectric nanogenerator with efficient dust collection for personal occupational protection. Journal of Colloid and Interface Science. 696. 137871–137871. 3 indexed citations
4.
Ma, Yunlong, et al.. (2025). Antimicrobial Lobophorins from Endophytic Strain Streptomyces sp. R6 Obtained from Azadirachta indica. Molecules. 30(3). 586–586. 1 indexed citations
5.
Zhang, Yijia, et al.. (2025). Robustness analysis of exponential stability of Cohen-Grossberg neural network with neutral terms. AIMS Mathematics. 10(3). 4938–4954.
6.
Liu, Yang, Xinyu Chen, Yunlong Ma, et al.. (2024). Endogenous mutant Huntingtin alters the corticogenesis via lowering Golgi recruiting ARF1 in cortical organoid. Molecular Psychiatry. 29(10). 3024–3039. 7 indexed citations
7.
Xing, Shilai, Siyi Jiang, Lin Peng, et al.. (2023). Association of mitochondrial DNA variation with high myopia in a Han Chinese population. Molecular Genetics and Genomics. 298(5). 1059–1071. 3 indexed citations
8.
Ma, Yunlong, Yijun Zhou, Wei Dai, et al.. (2023). Integration of human organoids single‐cell transcriptomic profiles and human genetics repurposes critical cell type‐specific drug targets for severe COVID ‐19. Cell Proliferation. 57(3). e13558–e13558. 12 indexed citations
9.
Xu, Xuejun, et al.. (2022). Integrated Multi-Omics Data Analysis Identifies a Novel Genetics-RiskGene of IRF4 Associated with Prognosis of Oral Cavity Cancer. Current Bioinformatics. 17(8). 744–758. 2 indexed citations
10.
Ma, Yunlong, Yukuan Huang, Sen Zhao, et al.. (2021). Integrative genomics analysis reveals a 21q22.11 locus contributing risk to COVID-19. Human Molecular Genetics. 30(13). 1247–1258. 32 indexed citations
11.
Xiang, Bingyu, Chunyu Deng, Fei Qiu, et al.. (2021). Single cell sequencing analysis identifies genetics-modulated ORMDL3+ cholangiocytes having higher metabolic effects on primary biliary cholangitis. Journal of Nanobiotechnology. 19(1). 406–406. 23 indexed citations
12.
Wang, Peilan, et al.. (2020). Integrative genomics analysis of various omics data and networks identify risk genes and variants vulnerable to childhood-onset asthma. BMC Medical Genomics. 13(1). 123–123. 18 indexed citations
13.
Yao, Yinghao, Yunlong Ma, Kunkai Su, et al.. (2018). Detection of Significant Association Between Variants in Cannabinoid Receptor 1 Gene (CNR1) and Personality in African–American Population. Frontiers in Genetics. 9. 199–199. 12 indexed citations
14.
Ma, Yunlong & Ming D. Li. (2017). Establishment of a Strong Link Between Smoking and Cancer Pathogenesis through DNA Methylation Analysis. Scientific Reports. 7(1). 1811–1811. 55 indexed citations
15.
Ma, Yunlong, et al.. (2015). The significant association of Taq1A genotypes in DRD2/ANKK1 with smoking cessation in a large-scale meta-analysis of Caucasian populations. Translational Psychiatry. 5(12). e686–e686. 15 indexed citations
16.
Ma, Yunlong, et al.. (2014). Updated Findings of the Association and Functional Studies of DRD2/ANKK1 Variants with Addictions. Molecular Neurobiology. 51(1). 281–299. 22 indexed citations
17.
Straub, Richard E., Yuxin Jiang, Charles J. MacLean, et al.. (2002). Genetic Variation in the 6p22.3 Gene DTNBP1, the Human Ortholog of the Mouse Dysbindin Gene, Is Associated with Schizophrenia. The American Journal of Human Genetics. 71(2). 337–348. 619 indexed citations breakdown →
18.
Sullivan, Patrick F., Michael C. Neale, Michael Silverman, et al.. (2001). An association study of DRD5 with smoking initiation and progression to nicotine dependence. American Journal of Medical Genetics. 105(3). 259–265. 42 indexed citations
19.
Straub, Richard E., Patrick F. Sullivan, Yunlong Ma, et al.. (1999). Susceptibility genes for nicotine dependence: a genome scan and followup in an independent sample suggest that regions on chromosomes 2, 4, 10, 16, 17 and 18 merit further study. Molecular Psychiatry. 4(2). 129–144. 136 indexed citations
20.
Straub, Richard E., Charles J. MacLean, Rory Martin, et al.. (1998). A schizophrenia locus may be located in region 10p15-p11. American Journal of Medical Genetics. 81(4). 296–301. 111 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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