Yutong Sha

444 total citations
20 papers, 247 citations indexed

About

Yutong Sha is a scholar working on Molecular Biology, Oncology and Mechanical Engineering. According to data from OpenAlex, Yutong Sha has authored 20 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Oncology and 2 papers in Mechanical Engineering. Recurrent topics in Yutong Sha's work include Single-cell and spatial transcriptomics (4 papers), Cancer Cells and Metastasis (4 papers) and Gene Regulatory Network Analysis (3 papers). Yutong Sha is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Cancer Cells and Metastasis (4 papers) and Gene Regulatory Network Analysis (3 papers). Yutong Sha collaborates with scholars based in United States, China and Australia. Yutong Sha's co-authors include Qing Nie, Peijie Zhou, Shuxiong Wang, Huijing Du, Xing Dai, Daniel Haensel, Guadalupe Gutierrez, Yuchi Qiu, Federico Bocci and Kavita Y. Sarin and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Science Advances.

In The Last Decade

Yutong Sha

16 papers receiving 244 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yutong Sha United States 8 177 85 43 25 24 20 247
Madison Tyler United States 4 107 0.6× 60 0.7× 38 0.9× 40 1.6× 27 1.1× 4 176
Jennifer Eng United States 8 138 0.8× 48 0.6× 52 1.2× 28 1.1× 38 1.6× 15 204
Máirín Rafferty Ireland 11 239 1.4× 98 1.2× 45 1.0× 49 2.0× 14 0.6× 18 350
Ravian L. van Ineveld Netherlands 5 115 0.6× 48 0.6× 28 0.7× 15 0.6× 43 1.8× 9 181
Mark Dane United States 8 89 0.5× 41 0.5× 21 0.5× 11 0.4× 31 1.3× 13 169
Loredana Martignetti France 7 239 1.4× 36 0.4× 54 1.3× 30 1.2× 23 1.0× 17 295
Alejandro La Greca Argentina 11 193 1.1× 37 0.4× 66 1.5× 32 1.3× 52 2.2× 13 306
Jian Tajbakhsh United States 11 299 1.7× 45 0.5× 34 0.8× 14 0.6× 27 1.1× 22 424
Clare Pacini United Kingdom 11 317 1.8× 63 0.7× 67 1.6× 21 0.8× 23 1.0× 13 424
Anne-Marie Lyne France 8 125 0.7× 41 0.5× 53 1.2× 17 0.7× 8 0.3× 14 264

Countries citing papers authored by Yutong Sha

Since Specialization
Citations

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

Fields of papers citing papers by Yutong Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yutong Sha

This figure shows the co-authorship network connecting the top 25 collaborators of Yutong Sha. A scholar is included among the top collaborators of Yutong Sha 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 Yutong Sha. Yutong Sha 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.
Gao, Fangyuan, Alexander V. Kolesnikov, Yutong Sha, et al.. (2025). Retinal polyunsaturated fatty acid supplementation reverses aging-related vision decline in mice. Science Translational Medicine. 17(817). eads5769–eads5769.
2.
Wang, Shuxiong, Christina Tu, Quy Nguyen, et al.. (2025). Sequential emergence and contraction of epithelial subtypes in the prenatal human choroid plexus revealed by a stem cell model. Nature Communications. 16(1). 5149–5149.
3.
Yu, Liyang, Shushu Song, Yong Wang, et al.. (2025). Mina53 catalyzes arginine demethylation of p53 to promote tumor growth. Cell Reports. 44(2). 115242–115242. 1 indexed citations
4.
5.
Wang, Bingjie, et al.. (2025). Research progress on the preparation of bamboo-based activated carbon for CO2 adsorption. New Carbon Materials. 40(2). 317–332. 2 indexed citations
6.
Xie, Qiang, Dingcheng Liang, Hongyang Zhou, et al.. (2024). Development of nanoporous carbon models with tunable pore structures via the random packing-virtual atom method. Microporous and Mesoporous Materials. 382. 113407–113407. 1 indexed citations
7.
Zhou, Hongyang, Qiang Xie, Dingcheng Liang, et al.. (2024). Experimental Study of the Accumulation Mechanism of Styrene in Activated Carbon with the Aid of Supercritical Solvent Extraction. Industrial & Engineering Chemistry Research. 63(46). 20315–20326.
8.
Song, Honghai, Yutong Sha, Liyang Yu, et al.. (2024). O-GlcNAcase regulates pluripotency states of human embryonic stem cells. Stem Cell Reports. 19(7). 993–1009. 4 indexed citations
9.
10.
Zhou, Yuxin, et al.. (2023). Effects of ferrocene addition on soot formation characteristics in laminar premixed burner-stabilized stagnation ethylene flames. Journal of Aerosol Science. 175. 106265–106265. 6 indexed citations
11.
Sha, Yutong, Yuchi Qiu, Peijie Zhou, & Qing Nie. (2023). Reconstructing growth and dynamic trajectories from single-cell transcriptomics data. Nature Machine Intelligence. 6(1). 25–39. 39 indexed citations
12.
Sha, Yutong, Yuchi Qiu, Peijie Zhou, & Qing Nie. (2023). Publisher Correction: Reconstructing growth and dynamic trajectories from single-cell transcriptomics data. Nature Machine Intelligence. 6(1). 119–119. 1 indexed citations
13.
Sha, Yutong, et al.. (2023). NEURALGENE: INFERRING GENE REGULATION AND CELL-FATE DYNAMICS FROM NEURAL ODES. 4(3). 1–15. 1 indexed citations
14.
Guerrero‐Juarez, Christian F., Shuxiong Wang, Yutong Sha, et al.. (2022). Single-cell analysis of human basal cell carcinoma reveals novel regulators of tumor growth and the tumor microenvironment. Science Advances. 8(23). eabm7981–eabm7981. 26 indexed citations
15.
Cang, Zixuan, Cecilia Nguyen, Yutong Sha, et al.. (2021). A Study of Gene Expression, Structure, and Contractility of iPSC-Derived Cardiac Myocytes from a Family with Heart Disease due to LMNA Mutation. Annals of Biomedical Engineering. 49(12). 3524–3539. 7 indexed citations
16.
Sha, Yutong, et al.. (2021). DeepSADPr: A hybrid-learning architecture for serine ADP-ribosylation site prediction. Methods. 203. 575–583. 9 indexed citations
17.
Sha, Yutong, Shuxiong Wang, Federico Bocci, Peijie Zhou, & Qing Nie. (2021). Inference of Intercellular Communications and Multilayer Gene-Regulations of Epithelial–Mesenchymal Transition From Single-Cell Transcriptomic Data. Frontiers in Genetics. 11. 604585–604585. 22 indexed citations
18.
Sha, Yutong, et al.. (2021). DeepKcrot: A Deep-Learning Architecture for General and Species-Specific Lysine Crotonylation Site Prediction. IEEE Access. 9. 49504–49513. 12 indexed citations
19.
Sha, Yutong, Shuxiong Wang, Peijie Zhou, & Qing Nie. (2020). Inference and multiscale model of epithelial-to-mesenchymal transition via single-cell transcriptomic data. Nucleic Acids Research. 48(17). 9505–9520. 45 indexed citations
20.
Sha, Yutong, Daniel Haensel, Guadalupe Gutierrez, et al.. (2018). Intermediate cell states in epithelial-to-mesenchymal transition. Physical Biology. 16(2). 21001–21001. 69 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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