Lei M. Li

1.7k total citations · 1 hit paper
47 papers, 1.3k citations indexed

About

Lei M. Li is a scholar working on Molecular Biology, Genetics and Aging. According to data from OpenAlex, Lei M. Li has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Aging. Recurrent topics in Lei M. Li's work include Genomics and Phylogenetic Studies (9 papers), Gene expression and cancer classification (8 papers) and Bioinformatics and Genomic Networks (7 papers). Lei M. Li is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Gene expression and cancer classification (8 papers) and Bioinformatics and Genomic Networks (7 papers). Lei M. Li collaborates with scholars based in United States, China and United Kingdom. Lei M. Li's co-authors include Ryk Ward, Noah A. Rosenberg, Jonathan K. Pritchard, Chao Cheng, Huanying Ge, Valter D. Longo, Paola Fabrizio, Jong Hyun Kim, Michael S. Waterman and Min Wei and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Lei M. Li

42 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Informativeness of Genetic Markers for Inference of Ancestry*

2003 554 citations Lei M. Li et al. profile →

Peers

Countries citing papers authored by Lei M. Li

Since Specialization

Citations

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

Fields of papers citing papers by Lei M. Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei M. Li

This figure shows the co-authorship network connecting the top 25 collaborators of Lei M. Li. A scholar is included among the top collaborators of Lei M. 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 Lei M. Li. Lei M. Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Two Novel Protein‐Truncating Variants in NLRP2 and Their Functional Impacts on the Subcortical Maternal Complex 2025 ·Clinical Genetics ·(unknown), Zheng Gao, (unknown), Eric Bareke, (unknown), Ebtesam Abdalla, Seang Lin Tan, Lei M. Li, Rima Slim	0
2	The human intelligence evolved from proximal cis‐regulatory saltations 2025 ·Quantitative Biology ·Xiaojie Li, Jianhui Shi, Lei M. Li	1
3	A pretrained transformer model for decoding individual glucose dynamics from continuous glucose monitoring data 2025 ·National Science Review ·(unknown), Dan Liu, Zhongming Liang, Rui Liu, Pei Chen, Yitong Liu, Jiachen Li, (unknown), Lei M. Li, Bin Sheng, Weiping Jia, Luonan Chen, Huating Li, Yong Wang	6
4	Hepatic artery infusion chemotherapy combined with camrelizumab and apatinib as conversion therapy for patients with unresectable hepatocellular carcinoma: a single-arm exploratory trial 2025 ·BMC Cancer ·(unknown), Zhongchao Li, Jianxin Zhang, (unknown), Mingming Li, (unknown), (unknown), (unknown), (unknown), Lei M. Li, Chengsheng Zhang, (unknown), Jingtao Zhong, (unknown), Xuetao Shi, (unknown), Lei Zhao	1
5	Dynamic proteome and phosphoproteome profiling reveals regulatory mechanisms in LPS-stimulated macrophage inflammatory responses 2025 ·Biochemical and Biophysical Research Communications ·Chenyang Huang, Yuying Liang, (unknown), Li Chen, Changqing Sun, Dawei Luo, (unknown), Lei M. Li, Yong Jiang	3
6	Identification of the optimal reference genes for atrial fibrillation model established by iPSC-derived atrial myocytes 2024 ·BMC Genomics ·Lei M. Li, (unknown), (unknown), (unknown), Yang Tan, Nan‐Jie Gong, Bing Liao, Long Yang, (unknown), (unknown)	1
7	Real-world practice of conversion surgery for unresectable hepatocellular carcinoma - a single center data of 26 consecutive patients 2023 ·BMC Cancer ·Bo Zhang, Xuetao Shi, (unknown), Zhongchao Li, Lei M. Li, (unknown), Chengsheng Zhang, Pengfei Sun, Jingtao Zhong, (unknown), (unknown), (unknown), Alex Gordon‐Weeks, Mingming Li, Lei Zhao	13
8	Migrasome, a novel organelle, differs from exosomes 2023 ·Biochemistry and Biophysics Reports ·(unknown), (unknown), Fuling Wang, Lei M. Li, (unknown)	23
9	Comparative Proteome and Cis-Regulatory Element Analysis Reveals Specific Molecular Pathways Conserved in Dog and Human Brains 2022 ·Molecular & Cellular Proteomics ·(unknown), (unknown), Xiahe Huang, (unknown), Hui Zhao, Guodong Wang, Ya‐Ping Zhang, (unknown), Jianping Zhao, Jianhui Shi, Qingfeng Wu, Yong‐hui Jiang, Yingchun Wang, Lei M. Li, Zhuo Du, (unknown), (unknown), Ying Xiong	7
10	MUREN: a robust and multi-reference approach of RNA-seq transcript normalization 2021 ·BMC Bioinformatics ·(unknown), Lei M. Li	7
11	The cis-trans binding strength defined by motif frequencies facilitates statistical inference of transcriptional regulation 2019 ·BMC Bioinformatics ·(unknown), Sheng Zhang, Liang Li, Lei M. Li	4
12	Estimating Phred scores of Illumina base calls by logistic regression and sparse modeling 2017 ·BMC Bioinformatics ·Sheng Zhang, Bo Wang, Lin Wan, Lei M. Li	7
13	A Novel Dual Eigen-Analysis of Mouse Multi-Tissues’ Expression Profiles Unveils New Perspectives into Type 2 Diabetes 2017 ·Scientific Reports ·Lei M. Li, Xiuxiu Liu, Lin Wang, Yong Wang, Xiuqin Liu, Tian Xue, Fuzhou Gong, Li Shen, Xiao-ding Peng	4
14	An adaptive decorrelation method removes Illumina DNA base-calling errors caused by crosstalk between adjacent clusters 2017 ·Scientific Reports ·(unknown), Lin Wan, Anqi Wang, Lei M. Li	16
15	Tor1/Sch9-Regulated Carbon Source Substitution Is as Effective as Calorie Restriction in Life Span Extension 2009 ·PLoS Genetics ·Min Wei, Paola Fabrizio, Federica Madia, Jia Hu, Huanying Ge, Lei M. Li, Valter D. Longo	157
16	Systematic identification of cell cycle regulated transcription factors from microarray time series data 2008 ·BMC Genomics ·Chao Cheng, Lei M. Li	25
17	Significant and Systematic Expression Differentiation in Long-Lived Yeast Strains 2007 ·PLoS ONE ·Chao Cheng, Paola Fabrizio, Huanying Ge, Min Wei, Valter D. Longo, Lei M. Li	17
18	Inferring activity changes of transcription factors by binding association with sorted expression profiles 2007 ·BMC Bioinformatics ·Chao Cheng, Xiting Yan, Fengzhu Sun, Lei M. Li	71
19	A model-based approach to selection of tag SNPs 2006 ·BMC Bioinformatics ·Pierre Nicolas, Fengzhu Sun, Lei M. Li	21
20	Factorization of moving-average spectral densities by state-space representations and stacking 2005 ·Journal of Multivariate Analysis ·Lei M. Li	9

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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