Li Chen

24.2k total citations · 3 hit papers
296 papers, 9.6k citations indexed

About

Li Chen is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Li Chen has authored 296 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 192 papers in Molecular Biology, 70 papers in Genetics and 45 papers in Hematology. Recurrent topics in Li Chen's work include Epigenetics and DNA Methylation (48 papers), Acute Myeloid Leukemia Research (33 papers) and Gene expression and cancer classification (32 papers). Li Chen is often cited by papers focused on Epigenetics and DNA Methylation (48 papers), Acute Myeloid Leukemia Research (33 papers) and Gene expression and cancer classification (32 papers). Li Chen collaborates with scholars based in China, United States and Canada. Li Chen's co-authors include Li-Yen Mae Huang, Henry Y. Fadamiro, Peng Jin, Kiran Madura, David Lambertson, Prasad Tongaonkar, Zhaohui Qin, Bing Yao, Jun Cai and Xinchun Yang and has published in prestigious journals such as Nature, Nucleic Acids Research and Angewandte Chemie International Edition.

In The Last Decade

Li Chen

281 papers receiving 9.4k citations

Hit Papers

Gut microbiota dysbiosis ... 1992 2026 2003 2014 2017 1992 2015 400 800 1.2k
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.

  1. Gut microbiota dysbiosis contributes to the development of hypertension
    2017 1.2k citations Li Chen et al. profile →
  2. Protein kinase C reduces Mg2+ block of NMDA-receptor channels as a mechanism of modulation
    1992 805 citations Li Chen et al. profile →
  3. Damage‐associated molecular pattern–activated neutrophil extracellular trap exacerbates sterile inflammatory liver injury
    2015 424 citations Li Chen et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Li Chen 6.2k 1.5k 1.3k 1.2k 780 296 9.6k
Tonghui Ma 9.8k 1.6× 1.3k 0.9× 763 0.6× 585 0.5× 743 1.0× 196 13.7k
Patrick Descombes 4.2k 0.7× 1.1k 0.7× 489 0.4× 1.3k 1.1× 738 0.9× 82 7.8k
Gwyn W. Gould 8.5k 1.4× 2.2k 1.4× 736 0.6× 1.0k 0.8× 815 1.0× 285 15.2k
David L. Williams 5.8k 0.9× 882 0.6× 1.6k 1.3× 908 0.7× 1.1k 1.4× 250 12.8k
Pankaj Kapahi 4.8k 0.8× 2.8k 1.8× 1.1k 0.9× 725 0.6× 868 1.1× 107 11.1k
Michael P. Walsh 8.3k 1.3× 1.9k 1.2× 1.4k 1.1× 894 0.7× 637 0.8× 261 12.5k
Peter H.G.M. Willems 9.0k 1.5× 1.3k 0.9× 1.2k 1.0× 601 0.5× 855 1.1× 265 13.5k
Jing X. Kang 4.8k 0.8× 2.4k 1.6× 593 0.5× 960 0.8× 1.2k 1.5× 204 15.0k
Yang Yang 4.2k 0.7× 2.0k 1.3× 1.3k 1.0× 512 0.4× 604 0.8× 439 9.4k
Jay A. Tischfield 6.8k 1.1× 1.1k 0.8× 1.9k 1.5× 2.1k 1.7× 1.0k 1.3× 258 12.2k

Countries citing papers authored by Li Chen

Since Specialization
Citations

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

Fields of papers citing papers by Li Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Li Chen. A scholar is included among the top collaborators of Li Chen 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 Li Chen. Li Chen 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.
Li, Jinjin, Hui Wang, Li Chen, et al.. (2025). Gut microbiota analysis reveals microbial signature for multi-autoimmune diseases based on machine learning model. Frontiers in Microbiology. 16. 1660775–1660775.
2.
3.
Clarke, Harrison A., Tara R. Hawkinson, Sakthivel Ravi, et al.. (2025). Spatial mapping of the brain metabolome lipidome and glycome. Nature Communications. 16(1). 4373–4373. 3 indexed citations
4.
Ma, Xin, et al.. (2024). Deep5hmC: predicting genome-wide 5-hydroxymethylcytosine landscape via a multimodal deep learning model. Bioinformatics. 40(9). 2 indexed citations
5.
Wang, Feng, Yangping Li, Xingyu Ji, et al.. (2024). Identification of pathological pathways centered on circRNA dysregulation in association with irreversible progression of Alzheimer’s disease. Genome Medicine. 16(1). 129–129. 6 indexed citations
6.
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Xu, Wenwu, Tiantian Gu, Sun Jing, et al.. (2023). Association of residual feed intake with intestinal microbiome and metabolome in laying period of ducks. Frontiers in Microbiology. 14. 1138914–1138914. 8 indexed citations
8.
Wang, Liang, Yahui Liang, Huizhong Zhang, et al.. (2023). Association analysis of agronomic traits and construction of genetic networks by resequencing of 306 sugar beet (Beta vulgaris L.) lines. Scientific Reports. 13(1). 15422–15422.
9.
Chen, Li, et al.. (2022). DeepPHiC: predicting promoter-centered chromatin interactions using a novel deep learning approach. Bioinformatics. 39(1). 9 indexed citations
10.
Chen, Li, et al.. (2022). Exploiting deep transfer learning for the prediction of functional non-coding variants using genomic sequence. Bioinformatics. 38(12). 3164–3172. 15 indexed citations
11.
Wang, Ye & Li Chen. (2022). DeepPerVar: a multi-modal deep learning framework for functional interpretation of genetic variants in personal genome. Bioinformatics. 38(24). 5340–5351. 7 indexed citations
12.
Pan, Hong, Pei Fang Tan, Ives Lim, et al.. (2022). Integrative multi-omics database (iMOMdb) of Asian pregnant women. Human Molecular Genetics. 31(18). 3051–3067. 2 indexed citations
13.
Wang, Ye, Yuchao Jiang, Bing Yao, et al.. (2021). WEVar: a novel statistical learning framework for predicting noncoding regulatory variants. Briefings in Bioinformatics. 22(6). 6 indexed citations
14.
Alkaslasi, Mor R., Sangeetha Hareendran, Hanna Silberberg, et al.. (2021). Single nucleus RNA-sequencing defines unexpected diversity of cholinergic neuron types in the adult mouse spinal cord. Nature Communications. 12(1). 2471–2471. 76 indexed citations
15.
Chen, Yang, et al.. (2020). Genome-wide circadian rhythm detection methods: systematic evaluations and practical guidelines. Briefings in Bioinformatics. 22(3). 32 indexed citations
16.
17.
Urrutia, Eugene, Li Chen, Haibo Zhou, & Yuchao Jiang. (2019). Destin: toolkit for single-cell analysis of chromatin accessibility. Bioinformatics. 35(19). 3818–3820. 19 indexed citations
18.
Chen, Xu, Michelle M. Thiaville, Li Chen, et al.. (2012). Defining NOTCH3 Target Genes in Ovarian Cancer. Cancer Research. 72(9). 2294–2303. 56 indexed citations
19.
Chen, Li, Annalisa Mupo, Tuong Huynh, et al.. (2010). Tbx1 regulates Vegfr3 and is required for lymphatic vessel development. The Journal of Cell Biology. 189(3). 417–424. 61 indexed citations
20.
Nosho, Katsuhiko, Kaori Shima, Natsumi Irahara, et al.. (2009). DNMT3B Expression Might Contribute to CpG Island Methylator Phenotype in Colorectal Cancer. Clinical Cancer Research. 15(11). 3663–3671. 114 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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Breakdown of academic impact, for papers by Tonghui Ma Breakdown of academic impact, for papers by Patrick Descombes Breakdown of academic impact, for papers by Gwyn W. Gould Breakdown of academic impact, for papers by David L. Williams Breakdown of academic impact, for papers by Pankaj Kapahi Breakdown of academic impact, for papers by Michael P. Walsh Breakdown of academic impact, for papers by Peter H.G.M. Willems Breakdown of academic impact, for papers by Jing X. Kang Breakdown of academic impact, for papers by Yang Yang Breakdown of academic impact, for papers by Jay A. Tischfield
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