Ying Gu

8.7k total citations
116 papers, 2.5k citations indexed

About

Ying Gu is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Ying Gu has authored 116 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 18 papers in Surgery and 16 papers in Genetics. Recurrent topics in Ying Gu's work include CRISPR and Genetic Engineering (15 papers), Pluripotent Stem Cells Research (13 papers) and Single-cell and spatial transcriptomics (8 papers). Ying Gu is often cited by papers focused on CRISPR and Genetic Engineering (15 papers), Pluripotent Stem Cells Research (13 papers) and Single-cell and spatial transcriptomics (8 papers). Ying Gu collaborates with scholars based in China, United States and Japan. Ying Gu's co-authors include Liang Chen, Henry M. Sucov, Yu Zhou, Dong‐Er Zhang, Hao Qian, Hairi Li, Changwei Shao, Jiayu Chen, Xiang‐Dong Fu and Xuan Zhang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Ying Gu

111 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Gu China 25 1.7k 321 260 245 203 116 2.5k
Thomas B. Thompson United States 35 2.5k 1.5× 772 2.4× 378 1.5× 407 1.7× 164 0.8× 95 3.9k
Aaron D. Goldberg United States 19 2.1k 1.3× 380 1.2× 169 0.7× 189 0.8× 338 1.7× 77 3.3k
Imogen R. Coe Canada 28 872 0.5× 234 0.7× 146 0.6× 186 0.8× 176 0.9× 60 2.9k
Dongsheng Zhang United States 18 572 0.3× 274 0.9× 241 0.9× 211 0.9× 67 0.3× 37 2.4k
Barbara Power Australia 25 1.4k 0.9× 273 0.9× 160 0.6× 225 0.9× 102 0.5× 48 2.6k
Joshua H. Lipschutz United States 32 2.0k 1.2× 931 2.9× 326 1.3× 153 0.6× 129 0.6× 95 3.1k
Hiroko Inoue Japan 30 1.1k 0.7× 212 0.7× 247 0.9× 212 0.9× 138 0.7× 160 3.0k
Helena Pihko Finland 40 2.6k 1.5× 480 1.5× 303 1.2× 127 0.5× 101 0.5× 115 4.5k
Amanda N. Sferruzzi‐Perri United Kingdom 42 961 0.6× 443 1.4× 251 1.0× 513 2.1× 263 1.3× 111 4.6k

Countries citing papers authored by Ying Gu

Since Specialization
Citations

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

Fields of papers citing papers by Ying Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Gu. A scholar is included among the top collaborators of Ying 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 Ying Gu. Ying 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.
Chen, Sha, et al.. (2025). The Impact of Exercise during Pregnancy on Maternal and Offspring Outcomes in Gestational Diabetes Mellitus. Biocell. 49(2). 181–198. 1 indexed citations
2.
Zhu, Fan, et al.. (2025). Single-cell eQTL mapping of human endogenous retroviruses reveals cell type-specific genetic regulation in autoimmune diseases. Nature Communications. 16(1). 7534–7534. 1 indexed citations
3.
Zhang, Peng, Yi Gong, Ying Gu, et al.. (2024). The dichotomous role of oxygen in the ohmic contact formation on p-type GaN grown by MBE and MOCVD. Surfaces and Interfaces. 53. 104974–104974.
4.
Wang, Xin, Weiwen Wang, Yang Liu, et al.. (2024). Single-cell multi-omics sequencing uncovers region-specific plasticity of glioblastoma for complementary therapeutic targeting. Science Advances. 10(47). eadn4306–eadn4306. 14 indexed citations
5.
Su, Xiujuan, Yawei Shi, Lei Shi, et al.. (2024). Association between adenomyosis volume and adverse perinatal outcomes: multicenter cohort study. Ultrasound in Obstetrics and Gynecology. 64(5). 678–686. 2 indexed citations
6.
Gu, Ying, Yi Gong, Peng Zhang, et al.. (2023). Investigation on the Optical Properties of Micro-LEDs Based on InGaN Quantum Dots Grown by Molecular Beam Epitaxy. Nanomaterials. 13(8). 1346–1346. 5 indexed citations
7.
Wang, Xin, et al.. (2023). Decoding key cell sub-populations and molecular alterations in glioblastoma at recurrence by single-cell analysis. Acta Neuropathologica Communications. 11(1). 125–125. 9 indexed citations
8.
Feng, Weimin, Shuai Liu, Qiuting Deng, et al.. (2023). A scATAC-seq atlas of chromatin accessibility in axolotl brain regions. Scientific Data. 10(1). 627–627. 3 indexed citations
9.
Rodrigues, Nelio T. L., et al.. (2022). SAIBR: a simple, platform-independent method for spectral autofluorescence correction. Development. 149(14). 7 indexed citations
10.
Liu, Yang, Shiyu Wang, Weijin Guo, et al.. (2022). Droplet Microfluidics Enables Tracing of Target Cells at the Single-Cell Transcriptome Resolution. Bioengineering. 9(11). 674–674. 8 indexed citations
11.
Ba, Hengxing, Xin Wang, Datao Wang, et al.. (2022). Single-cell transcriptome reveals core cell populations and androgen-RXFP2 axis involved in deer antler full regeneration. Cell Regeneration. 11(1). 43–43. 8 indexed citations
12.
Wang, Zaozao, Bin Kang, Qianqian Gao, et al.. (2021). Quadruple‐editing of the MAPK and PI3K pathways effectively blocks the progression of KRAS‐mutated colorectal cancer cells. Cancer Science. 112(9). 3895–3910. 8 indexed citations
13.
Li, Jie, Leqian Yu, Hai-Xi Sun, et al.. (2021). Author Correction: Cross-species single-cell transcriptomic analysis reveals pre-gastrulation developmental differences among pigs, monkeys, and humans. Cell Discovery. 7(1). 14–14. 1 indexed citations
14.
Dong, Guoyi, Weihua Zhao, Jing Li, et al.. (2020). Restoration of β-Globin Expression with Optimally Designed Lentiviral Vector for β-Thalassemia Treatment in Chinese Patients. Human Gene Therapy. 32(9-10). 481–494. 5 indexed citations
15.
Gu, Ying, Boyao Zhang, Fan Yang, et al.. (2020). Transcribed Ultraconserved Region Uc.242 is a Novel Regulator of Cardiomyocyte Hypertrophy Induced by Angiotensin Ii. Journal of Investigative Medicine. 69(3). 749–755. 1 indexed citations
16.
Dong, Guoyi, Shengpeng Wang, Qiuting Deng, et al.. (2019). Serum-Free Culture System for Spontaneous Human Mesenchymal Stem Cell Spheroid Formation. Stem Cells International. 2019. 1–12. 12 indexed citations
17.
Chen, Liang, Jiayu Chen, Yi-Jou Huang, et al.. (2018). The Augmented R-Loop Is a Unifying Mechanism for Myelodysplastic Syndromes Induced by High-Risk Splicing Factor Mutations. Molecular Cell. 69(3). 412–425.e6. 195 indexed citations
18.
Chen, Liang, Jiayu Chen, Xuan Zhang, et al.. (2017). R-ChIP Using Inactive RNase H Reveals Dynamic Coupling of R-loops with Transcriptional Pausing at Gene Promoters. Molecular Cell. 68(4). 745–757.e5. 261 indexed citations
20.
Yang, Jiangke, et al.. (2002). Duplication and adaptive evolution of chalcone synthase genes in the genus Dendranthema (Asteraceae). UCL Discovery (University College London). 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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