Ming Li

8.9k total citations
278 papers, 5.7k citations indexed

About

Ming Li is a scholar working on Genetics, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ming Li has authored 278 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Genetics, 115 papers in Molecular Biology and 39 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ming Li's work include Genetic Associations and Epidemiology (74 papers), Genetics and Neurodevelopmental Disorders (35 papers) and Epigenetics and DNA Methylation (20 papers). Ming Li is often cited by papers focused on Genetic Associations and Epidemiology (74 papers), Genetics and Neurodevelopmental Disorders (35 papers) and Epigenetics and DNA Methylation (20 papers). Ming Li collaborates with scholars based in China, United States and Hong Kong. Ming Li's co-authors include Shitij Kapur, Romina Mizrahi, Xiao Xiao, Xiong‐Jian Luo, Hong Chang, Bing Su, Jiewei Liu, Angel L. De Blas, Frederick S. Kaplan and Eileen M. Shore and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Ming Li

261 papers receiving 5.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Li China 39 2.1k 1.5k 833 822 590 278 5.7k
Anders D. Børglum Denmark 41 2.3k 1.1× 1.9k 1.2× 432 0.5× 965 1.2× 686 1.2× 217 6.1k
Artūras Petronis Canada 43 4.1k 1.9× 2.6k 1.7× 1.2k 1.5× 775 0.9× 522 0.9× 105 7.3k
Masashi Ikeda Japan 35 1.5k 0.7× 1.2k 0.8× 831 1.0× 630 0.8× 311 0.5× 190 4.0k
Allison E. Ashley‐Koch United States 48 2.2k 1.0× 1.8k 1.2× 1.3k 1.6× 599 0.7× 1.6k 2.7× 210 8.3k
Robert Wyatt United States 66 2.9k 1.4× 1.3k 0.9× 649 0.8× 966 1.2× 373 0.6× 461 16.8k
Chunyu Liu China 43 3.9k 1.8× 1.9k 1.2× 536 0.6× 660 0.8× 500 0.8× 307 10.1k
Leonard C. Schalkwyk United Kingdom 54 5.7k 2.7× 3.0k 2.0× 712 0.9× 546 0.7× 777 1.3× 152 9.1k
Dai Zhang China 31 1.6k 0.8× 971 0.6× 419 0.5× 387 0.5× 911 1.5× 194 4.0k
Christian Andrés France 48 2.5k 1.2× 1.2k 0.8× 744 0.9× 390 0.5× 1.2k 2.0× 248 7.4k
Jun Nakamura Japan 50 3.9k 1.8× 943 0.6× 1.5k 1.8× 1.1k 1.4× 923 1.6× 388 10.5k

Countries citing papers authored by Ming Li

Since Specialization
Citations

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

Fields of papers citing papers by Ming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Li. A scholar is included among the top collaborators of Ming Li 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 Ming Li. Ming Li 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.
Zhang, Yue, Chuyi Zhang, Jing Yuan, et al.. (2025). Human mood disorder risk gene Synaptotagmin-14 contributes to mania-like behaviors in mice. Molecular Psychiatry. 30(8). 3466–3477. 1 indexed citations
2.
Chen, Rui, Zhaowei Teng, Junyang Wang, et al.. (2025). Cross-ancestry genome-wide association study and systems-level integrative analyses implicate new risk genes and therapeutic targets for depression. Nature Human Behaviour. 9(4). 806–823. 3 indexed citations
3.
Li, Ming, et al.. (2024). Reconstruction of oblique facial cleft deformity with adjacent flap and nasolabial flap: A case report. International Journal of Surgery Case Reports. 121. 109981–109981.
4.
Yang, Zhihui, Xin Cai, Chuyi Zhang, et al.. (2024). NEK4 modulates circadian fluctuations of emotional behaviors and synaptogenesis in male mice. Nature Communications. 15(1). 9180–9180. 1 indexed citations
5.
Wang, Zhen, et al.. (2024). Investigation of the pathogenesis of ADAR1 gene in dyschromatosis symmetrica hereditaria. Experimental Dermatology. 33(2). e15031–e15031. 2 indexed citations
6.
Wu, Yong, Chuyi Zhang, Xiao‐Lan Liu, et al.. (2024). Shared genetic architecture and causal relationship between sleep behaviors and lifespan. Translational Psychiatry. 14(1). 108–108. 2 indexed citations
7.
Xiao, Xiao, et al.. (2023). New “drugs and targets” in the GWAS era of bipolar disorder. Bipolar Disorders. 25(5). 410–421. 4 indexed citations
8.
Li, Ming, Tao Li, Xiao Xiao, et al.. (2022). Phenotypes, mechanisms and therapeutics: insights from bipolar disorder GWAS findings. Molecular Psychiatry. 27(7). 2927–2939. 17 indexed citations
9.
Wang, Junyang, Shiwu Li, Xiaoyan Li, et al.. (2022). Functional variant rs2270363 on 16p13.3 confers schizophrenia risk by regulating NMRAL1. Brain. 145(7). 2569–2585. 7 indexed citations
10.
Zhang, Yan, Chuyi Zhang, Jing Yuan, et al.. (2022). Epistatic interactions of NRG1 and ERBB4 on antipsychotic treatment response in first-episode schizophrenia patients. Schizophrenia Research. 241. 197–200. 3 indexed citations
11.
Zhang, Huajun, Ming Li, & Tianshu Xu. (2021). Therapeutic effect of Chinese herbal medicines for post-stroke depression. Medicine. 100(1). e24173–e24173. 8 indexed citations
12.
Li, Shiwu, Yifan Li, Xiaoyan Li, et al.. (2020). Regulatory mechanisms of major depressive disorder risk variants. Molecular Psychiatry. 25(9). 1926–1945. 42 indexed citations
13.
Yang, Yongfeng, Lu Wang, Lingyi Li, et al.. (2018). Genetic association and meta-analysis of a schizophrenia GWAS variant rs10489202 in East Asian populations. Translational Psychiatry. 8(1). 144–144. 7 indexed citations
14.
Ou, Jianjun, Ming Li, & Xiao Xiao. (2016). The schizophrenia susceptibility gene ZNF804A confers risk of major mood disorders. The World Journal of Biological Psychiatry. 18(7). 557–562. 15 indexed citations
15.
Zhang, Mingyuan, Gang Wang, Hongyan Zhang, et al.. (2010). Association between painful physical symptoms and clinical outcomes in Chinese patients with major depressive disorder: a three-month observational study.. PubMed. 123(15). 2063–9. 9 indexed citations
17.
Wan, Lin, Kelian Sun, Qi Ding, et al.. (2009). Hybridization modeling of oligonucleotide SNP arrays for accurate DNA copy number estimation. Nucleic Acids Research. 37(17). e117–e117. 10 indexed citations
18.
Chen, Yongjuan, Guangpeng Tang, Li Zhang, et al.. (2008). Association of Bone Morphogenetic Protein 4 Gene Polymorphisms with Nonsyndromic Cleft Lip with or without Cleft Palate in Chinese Children. DNA and Cell Biology. 27(11). 601–605. 41 indexed citations
19.
Li, Ming, et al.. (2004). A LIFE AND WORKS OF ARCHITECT SHOJI OHHATA : A study on the activities of the architect in the Hiroshima district. Journal of Architecture and Planning (Transactions of AIJ). 69(575). 191–197. 2 indexed citations
20.
Li, Ming, et al.. (2002). RESEARCH ON THE PLAN OF RECONSTRUCTION HIROSHIMA : A study on the activities of the architect Kenzo Tange in Hiroshima Part 1. Journal of Architecture and Planning (Transactions of AIJ). 67(557). 339–345. 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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