Lei Gu

8.1k total citations · 2 hit papers
33 papers, 3.8k citations indexed

About

Lei Gu is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Lei Gu has authored 33 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 6 papers in Atomic and Molecular Physics, and Optics and 4 papers in Artificial Intelligence. Recurrent topics in Lei Gu's work include Epigenetics and DNA Methylation (8 papers), Quantum and electron transport phenomena (5 papers) and RNA modifications and cancer (5 papers). Lei Gu is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Quantum and electron transport phenomena (5 papers) and RNA modifications and cancer (5 papers). Lei Gu collaborates with scholars based in China, United States and Germany. Lei Gu's co-authors include Roland Eils, Benedikt Brors, Zuguang Gu, Matthias Schlesner, Yang Shi, Andrés Blanco, Chih-Hung Hsu, Jianzhao Liu, Erdem Sendinc and Chuan He and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Lei Gu

32 papers receiving 3.8k citations

Hit Papers

circlizeimplements and enhances circular visualization in R 2014 2026 2018 2022 2014 2015 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lei Gu China 16 2.1k 565 434 398 396 33 3.8k
Dave Clements United States 11 2.7k 1.3× 656 1.2× 519 1.2× 280 0.7× 591 1.5× 22 4.5k
Timothy T. Harkins United States 31 1.9k 0.9× 631 1.1× 735 1.7× 307 0.8× 498 1.3× 63 3.5k
Måns Magnusson Sweden 6 2.4k 1.2× 636 1.1× 713 1.6× 437 1.1× 640 1.6× 7 4.7k
Jennifer Hillman‐Jackson United States 6 2.5k 1.2× 587 1.0× 457 1.1× 289 0.7× 538 1.4× 7 4.0k
Fernando García-Alcalde Spain 13 2.1k 1.0× 682 1.2× 686 1.6× 556 1.4× 350 0.9× 24 3.8k
Martin Čech Czechia 6 2.4k 1.2× 580 1.0× 438 1.0× 261 0.7× 539 1.4× 18 4.0k
Max Käller Sweden 12 2.6k 1.2× 693 1.2× 746 1.7× 470 1.2× 679 1.7× 31 5.0k
Aysam Guerler Germany 10 2.6k 1.2× 582 1.0× 450 1.0× 262 0.7× 541 1.4× 14 4.1k
Matko Bošnjak United Kingdom 11 2.3k 1.1× 1.1k 1.9× 639 1.5× 373 0.9× 337 0.9× 16 4.8k
Jake R. Conway United States 10 1.5k 0.7× 404 0.7× 291 0.7× 343 0.9× 309 0.8× 14 2.8k

Countries citing papers authored by Lei Gu

Since Specialization
Citations

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

Fields of papers citing papers by Lei Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Gu. A scholar is included among the top collaborators of Lei Gu 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 Gu. Lei Gu 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.
Teng, Da, Kenneth D. Swanson, Zhixin Niu, et al.. (2025). DHODH modulates immune evasion of cancer cells via CDP-Choline dependent regulation of phospholipid metabolism and ferroptosis. Nature Communications. 16(1). 3867–3867. 9 indexed citations
2.
Tang, Hong-Wen, Jui–Hsia Weng, Yanhui Hu, et al.. (2021). mTORC1-chaperonin CCT signaling regulates m 6 A RNA methylation to suppress autophagy. Proceedings of the National Academy of Sciences. 118(10). 53 indexed citations
3.
Blanco, Andrés, David B. Sykes, Lei Gu, et al.. (2021). Chromatin-state barriers enforce an irreversible mammalian cell fate decision. Cell Reports. 37(6). 109967–109967. 29 indexed citations
4.
Gu, Lei, Longfei Wang, Hao Chen, et al.. (2020). CG14906 (mettl4) mediates m6A methylation of U2 snRNA in Drosophila. Cell Discovery. 6(1). 44–44. 38 indexed citations
5.
Gao, Yan, et al.. (2019). Constructing a Chinese electronic medical record corpus for named entity recognition on resident admit notes. BMC Medical Informatics and Decision Making. 19(S2). 56–56. 9 indexed citations
6.
Dreijerink, Koen M.A., Anna C. Groner, Alba Font‐Tello, et al.. (2017). Enhancer-Mediated Oncogenic Function of the Menin Tumor Suppressor in Breast Cancer. Cell Reports. 18(10). 2359–2372. 61 indexed citations
7.
Shen, Hongjie, Wenqi Xu, Rui Guo, et al.. (2016). Suppression of Enhancer Overactivation by a RACK7-Histone Demethylase Complex. Cell. 165(2). 331–342. 132 indexed citations
8.
Shen, Che-Hung, Sebastian Trousil, Dennie T. Frederick, et al.. (2016). Loss of cohesin complex components STAG2 or STAG3 confers resistance to BRAF inhibition in melanoma. Nature Medicine. 22(9). 1056–1061. 58 indexed citations
9.
Ma, Li, et al.. (2015). MRG-DBSCAN: An Improved DBSCAN Clustering Method Based on Map Reduce and Grid. International Journal of Database Theory and Application. 8(2). 119–128. 1 indexed citations
10.
Greer, Eric Lieberman, Andrés Blanco, Lei Gu, et al.. (2015). DNA Methylation on N6-Adenine in C. elegans. Cell. 161(4). 868–878. 507 indexed citations breakdown →
11.
Wang, Huiwen, Bin Wei, Yuting Guo, et al.. (2015). CUG-BP1 regulates RyR1 ASI alternative splicing in skeletal muscle atrophy. Scientific Reports. 5(1). 16083–16083. 18 indexed citations
12.
Lipka, Daniel B., Qi Wang, Nina Cabezas‐Wallscheid, et al.. (2014). Identification of DNA methylation changes atcis-regulatory elements during early steps of HSC differentiation using tagmentation-based whole genome bisulfite sequencing. Cell Cycle. 13(22). 3476–3487. 25 indexed citations
13.
Gu, Zuguang, Lei Gu, Roland Eils, Matthias Schlesner, & Benedikt Brors. (2014). circlizeimplements and enhances circular visualization in R. Bioinformatics. 30(19). 2811–2812. 2531 indexed citations breakdown →
14.
Niu, Shen, Tao Huang, Kaiyan Feng, et al.. (2013). Inter- and Intra-Chain Disulfide Bond Prediction Based on Optimal Feature Selection. Protein and Peptide Letters. 20(3). 324–335. 8 indexed citations
15.
Wang, Qi, Lei Gu, Andrew C. Adey, et al.. (2013). Tagmentation-based whole-genome bisulfite sequencing. Nature Protocols. 8(10). 2022–2032. 130 indexed citations
16.
Cai, Yu‐Dong, Zhisong He, Xiaohe Shi, et al.. (2010). A Novel Sequence-Based Method of Predicting Protein DNA-Binding Residues, Using a Machine Learning Approach. Molecules and Cells. 30(2). 99–106. 6 indexed citations
17.
Shi, Xiaohe, Xinlei Li, Wencong Lu, et al.. (2009). Prediction of interactiveness of proteins and nucleic acids based on feature selections. Molecular Diversity. 14(4). 627–633. 10 indexed citations
18.
Niu, Bing, Lin Lü, Lei Gu, et al.. (2009). Prediction of interaction between small molecule and enzyme using AdaBoost. Molecular Diversity. 13(3). 313–320. 19 indexed citations
19.
Gu, Lei, Zhonglai Luo, Dianxiang Zhang, & Susanne S. Renner. (2009). Passerine Pollination of Rhodoleia championii (Hamamelidaceae) in Subtropical China. Biotropica. 42(3). 336–341. 16 indexed citations
20.
Gu, Ben–Yuan & Lei Gu. (1989). Escape process of resonant-tunneling electrons from a quantum well. Physical review. B, Condensed matter. 40(9). 6124–6128. 4 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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