Zhongli Yang

1.3k total citations
52 papers, 913 citations indexed

About

Zhongli Yang is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Zhongli Yang has authored 52 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 12 papers in Physiology and 11 papers in Genetics. Recurrent topics in Zhongli Yang's work include Nicotinic Acetylcholine Receptors Study (14 papers), Smoking Behavior and Cessation (10 papers) and Epigenetics and DNA Methylation (9 papers). Zhongli Yang is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (14 papers), Smoking Behavior and Cessation (10 papers) and Epigenetics and DNA Methylation (9 papers). Zhongli Yang collaborates with scholars based in China, United States and India. Zhongli Yang's co-authors include Ming D. Li, Haijun Han, Zhiwei Bao, Jingjing Li, Sulie L. Chang, Yunlong Ma, Fei Wang, Thomas J. Payne, Ming D. Li and Tanseli Nesil and has published in prestigious journals such as Nature Communications, Scientific Reports and Environmental Pollution.

In The Last Decade

Zhongli Yang

49 papers receiving 904 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhongli Yang China 18 468 177 139 113 97 52 913
Łukasz Łaczmański Poland 19 454 1.0× 283 1.6× 143 1.0× 63 0.6× 136 1.4× 110 1.3k
Shyi‐Jou Chen Taiwan 19 210 0.4× 84 0.5× 54 0.4× 255 2.3× 46 0.5× 70 1.1k
David J. Nusbaum United States 13 679 1.5× 508 2.9× 184 1.3× 27 0.2× 61 0.6× 50 1.3k
Terri L. Cornelison United States 16 248 0.5× 77 0.4× 24 0.2× 61 0.5× 82 0.8× 28 1.1k
C. Murr Austria 12 270 0.6× 152 0.9× 351 2.5× 179 1.6× 73 0.8× 23 1.2k
Qiaoying Jiang China 10 228 0.5× 113 0.6× 83 0.6× 26 0.2× 21 0.2× 21 515
Yanxia Chen China 18 300 0.6× 125 0.7× 10 0.1× 165 1.5× 67 0.7× 78 1.1k
Xiaoying Ding China 18 575 1.2× 193 1.1× 14 0.1× 72 0.6× 48 0.5× 65 1.2k
Mark Barnes United States 17 369 0.8× 214 1.2× 41 0.3× 347 3.1× 87 0.9× 30 1.5k

Countries citing papers authored by Zhongli Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zhongli Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongli Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongli Yang. A scholar is included among the top collaborators of Zhongli Yang 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 Zhongli Yang. Zhongli Yang 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.
Wang, Yan, Zhongli Yang, Haijun Han, et al.. (2025). Investigating the effect of Arvcf reveals an essential role on regulating the mesolimbic dopamine signaling-mediated nicotine reward. Communications Biology. 8(1). 429–429.
2.
Wang, Qizheng, et al.. (2025). Knowledge graph and its application in the study of neurological and mental disorders. Frontiers in Psychiatry. 16. 1452557–1452557.
4.
Li, Ming D., Yan Wang, Zhouhai Zhu, et al.. (2024). Integrative analysis of genetics, epigenetics and RNA expression data reveal three susceptibility loci for smoking behavior in Chinese Han population. Molecular Psychiatry. 29(11). 3516–3526. 4 indexed citations
5.
Zhu, Zhouhai, Qiang Liu, Meng Li, et al.. (2023). Determination of genetic correlation between tobacco smoking and coronary artery disease. Frontiers in Psychiatry. 14. 1279962–1279962. 2 indexed citations
6.
Bao, Zhiwei, Xiaoping Zheng, Ting Zhang, et al.. (2023). Landscapes of gut microbiome and bile acid signatures and their interaction in HBV-associated acute-on-chronic liver failure. Frontiers in Microbiology. 14. 1185993–1185993. 6 indexed citations
7.
Hu, Yongxian, Fang Ni, Zhongli Yang, et al.. (2022). CAR-T cell therapy-related cytokine release syndrome and therapeutic response is modulated by the gut microbiome in hematologic malignancies. Nature Communications. 13(1). 5313–5313. 90 indexed citations
8.
Han, Haijun, Wen Li, Jiali Chen, et al.. (2022). Identification of a Novel Functional Non-synonymous Single Nucleotide Polymorphism in Frizzled Class Receptor 6 Gene for Involvement in Depressive Symptoms. Frontiers in Molecular Neuroscience. 15. 882396–882396. 2 indexed citations
9.
Yang, Zhongli, et al.. (2021). Correlation Between Prognostic Biomarker SLC1A5 and Immune Infiltrates in Various Types of Cancers Including Hepatocellular Carcinoma. Frontiers in Oncology. 11. 608641–608641. 19 indexed citations
10.
Yang, Zhongli, et al.. (2021). Effect of Cigarette Smoke on Gut Microbiota: State of Knowledge. Frontiers in Physiology. 12. 673341–673341. 107 indexed citations
11.
Zhao, Xinyi, Shu Zhao, Zhongli Yang, et al.. (2021). Landscape analysis of lncRNAs shows that DDX11-AS1 promotes cell-cycle progression in liver cancer through the PARP1/p53 axis. Cancer Letters. 520. 282–294. 18 indexed citations
12.
Mao, Ying, et al.. (2021). Genome-wide methylation and expression analyses reveal the epigenetic landscape of immune-related diseases for tobacco smoking. Clinical Epigenetics. 13(1). 215–215. 18 indexed citations
13.
Dong, Xue, Zhongli Yang, & Jun Zhang. (2018). Decreased miR-452 expression in human cervical cancer and its prognostic significance. European Journal of Gynaecological Oncology. 39(1). 27–31. 2 indexed citations
14.
Han, Haijun, Qiang Liu, Zhongli Yang, et al.. (2018). Association and cis-mQTL analysis of variants in serotonergic genes associated with nicotine dependence in Chinese Han smokers. Translational Psychiatry. 8(1). 243–243. 13 indexed citations
15.
Yang, Zhongli, et al.. (2018). Pharmacological Effects and Regulatory Mechanisms of Tobacco Smoking Effects on Food Intake and Weight Control. Journal of Neuroimmune Pharmacology. 13(4). 453–466. 21 indexed citations
16.
Liu, Qiang, Haijun Han, Yinghao Yao, et al.. (2018). Association and cis-mQTL analysis of variants in CHRNA3-A5, CHRNA7, CHRNB2, and CHRNB4 in relation to nicotine dependence in a Chinese Han population. Translational Psychiatry. 8(1). 83–83. 17 indexed citations
17.
Chen, Jiali, et al.. (2018). Implication of Genes for the N-Methyl-d-Aspartate (NMDA) Receptor in Substance Addictions. Molecular Neurobiology. 55(9). 7567–7578. 13 indexed citations
18.
Yang, Zhongli, Lin Chen, Shaolin Wang, et al.. (2013). Determination of allelic expression of SNP rs1880676 in choline acetyltransferase gene in HeLa cells. Neuroscience Letters. 555. 215–219. 1 indexed citations
19.
Wang, Fei, et al.. (2008). Human leukocyte antigen-G is expressed by the eutopic and ectopic endometrium of adenomyosis. Fertility and Sterility. 90(5). 1599–1604. 38 indexed citations
20.
Wang, Fei, et al.. (2008). Expression of interleukin-10 in patients with adenomyosis. Fertility and Sterility. 91(5). 1681–1685. 59 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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