Yuting Dai

2.6k total citations
87 papers, 598 citations indexed

About

Yuting Dai is a scholar working on Molecular Biology, Ecology and Oncology. According to data from OpenAlex, Yuting Dai has authored 87 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 12 papers in Ecology and 12 papers in Oncology. Recurrent topics in Yuting Dai's work include Acute Myeloid Leukemia Research (10 papers), Single-cell and spatial transcriptomics (9 papers) and Aquatic Invertebrate Ecology and Behavior (9 papers). Yuting Dai is often cited by papers focused on Acute Myeloid Leukemia Research (10 papers), Single-cell and spatial transcriptomics (9 papers) and Aquatic Invertebrate Ecology and Behavior (9 papers). Yuting Dai collaborates with scholars based in China, United States and Germany. Yuting Dai's co-authors include Jinyan Huang, Sai‐Juan Chen, Jianfeng Li, Guolong Yu, Xiaojuan Xu, Bing Chen, Chen Zhu, Lu Jiang, Liang Wu and Xue‐Ping Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Yuting Dai

67 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuting Dai China 15 242 89 87 85 85 87 598
Sadie Johnson United States 19 369 1.5× 91 1.0× 80 0.9× 234 2.8× 246 2.9× 60 859
Michael Spohn Germany 16 286 1.2× 77 0.9× 78 0.9× 83 1.0× 47 0.6× 40 696
George Wendt United States 11 313 1.3× 130 1.5× 206 2.4× 40 0.5× 208 2.4× 15 770
Josée Doyon Canada 15 209 0.9× 33 0.4× 109 1.3× 74 0.9× 26 0.3× 39 976
A Robertson United States 20 741 3.1× 100 1.1× 55 0.6× 83 1.0× 37 0.4× 48 1.2k
Ian Robbins France 19 444 1.8× 92 1.0× 85 1.0× 100 1.2× 15 0.2× 34 998
Marilyn L. Cayer United States 15 257 1.1× 182 2.0× 53 0.6× 33 0.4× 133 1.6× 37 837
Julie Huxley‐Jones United Kingdom 11 221 0.9× 48 0.5× 14 0.2× 56 0.7× 30 0.4× 12 478
Nelly Pirot France 15 325 1.3× 73 0.8× 40 0.5× 113 1.3× 10 0.1× 31 734
Tereza Ševčíková Czechia 13 417 1.7× 33 0.4× 218 2.5× 39 0.5× 32 0.4× 39 695

Countries citing papers authored by Yuting Dai

Since Specialization
Citations

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

Fields of papers citing papers by Yuting Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuting Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Yuting Dai. A scholar is included among the top collaborators of Yuting Dai 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 Yuting Dai. Yuting Dai 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
2.
Huang, Jiawen, Jin Xie, Jiusheng Bao, et al.. (2025). Targeting T-Cell Immunoglobulin and Mucin Domain 3 with a D -Configured Peptide Radiotracer for Tumor Positron Emission Tomography Imaging. Bioconjugate Chemistry. 36(12). 2678–2688.
4.
Li, Xue‐Ping, et al.. (2025). A multi-omic single-cell landscape reveals transcription and epigenetic regulatory features of t(8;21) AML. Journal of Translational Medicine. 23(1). 816–816.
5.
Dai, Yuting, Wen Jin, Wenyan Cheng, et al.. (2025). Resolving Leukemia Heterogeneity and Lineage Aberrations with HematoMap. Genomics Proteomics & Bioinformatics. 23(2).
6.
He, Yueyue, Thomas Diemant, Yuting Dai, et al.. (2025). Printed High‐Entropy Prussian Blue Analogs for Advanced Non‐Volatile Memristive Devices (Adv. Mater. 8/2025). Advanced Materials. 37(8). 1 indexed citations
7.
Li, Hongyu, Anpeng Zhang, Jihua Zhou, et al.. (2025). Development of a Recombinase Polymerase Amplification and CRISPR-Cas12a-Based Assay for Rapid Detection of Rice Bakanae Disease Caused by Fusarium fujikuroi. Agronomy. 15(3). 577–577. 2 indexed citations
8.
Dai, Yuting, et al.. (2025). Two new genera and species of river snails from the upper Changjiang River Basin in China (Gastropoda, Viviparidae). Zoosystematics and Evolution. 101(4). 1857–1871.
9.
Dai, Yuting, et al.. (2024). Synchrotron scanning transmission x-ray spectro-microscopy (STXM) characterisation of β-SiC nanowhisker AZ91 magnesium alloy nanocomposites. Journal of Electron Spectroscopy and Related Phenomena. 276. 147477–147477. 3 indexed citations
10.
Guo, Xiaobin, Ping Zhou, Tang Li, et al.. (2024). Vegetation restoration enhancing soil carbon sequestration in karst rocky desertification ecosystems: A meta-analysis. Journal of Environmental Management. 370. 122530–122530. 23 indexed citations
11.
Dai, Yuting, et al.. (2024). Exercise preference in stroke survivors: a concept analysis. Frontiers in Neurology. 15.
12.
Jin, Wen, Yuting Dai, Li Chen, et al.. (2024). Cellular hierarchy insights reveal leukemic stem-like cells and early death risk in acute promyelocytic leukemia. Nature Communications. 15(1). 6 indexed citations
13.
Xu, Jie, Yuting Dai, Yan Sun, et al.. (2024). Neutrophil activation and clonal CAR-T re-expansion underpinning cytokine release syndrome during ciltacabtagene autoleucel therapy in multiple myeloma. Nature Communications. 15(1). 360–360. 26 indexed citations
14.
Ding, Ziming, Yushu Tang, Janis K. Eckhardt, et al.. (2023). The Impact of Microstructure on Filament Growth at the Sodium Metal Anode in All‐Solid‐State Sodium Batteries. Advanced Energy Materials. 13(48). 14 indexed citations
15.
Dai, Yuting, et al.. (2023). Multilocus and mitogenomic phylogenetic analyses reveal a new genus and species of freshwater mussel (Bivalvia: Unionidae) from Guangxi, China. Invertebrate Systematics. 37(2). 152–166. 15 indexed citations
16.
Li, Xue‐Ping, Yuting Dai, Weina Zhang, et al.. (2023). Single-cell RNA-seq reveals novel immune-associated biomarkers for predicting prognosis in AML patients with RUNX1::RUNX1T1. International Immunopharmacology. 125(Pt B). 111178–111178. 1 indexed citations
17.
Wang, Yu, Ning Huang, Tao Zhang, et al.. (2023). Identification of the enhancer RNAs related to tumorgenesis of pituitary neuroendocrine tumors. Frontiers in Endocrinology. 14. 2 indexed citations
18.
Tang, Hao, Yijun Cheng, Hong Yao, et al.. (2023). DRD2 expression based on 18F-fallypride PET/MR predicts the dopamine agonist resistance of prolactinomas: a pilot study. Endocrine. 80(2). 419–424. 4 indexed citations
19.
Xu, Huifeng, Shiqi Zhang, Ting Zhang, et al.. (2021). An electrochemiluminescence biosensor for cadmium ion based on target-induced strand displacement amplification and magnetic Fe3O4-GO nanosheets. Talanta. 237. 122967–122967. 14 indexed citations
20.
Li, Jianfeng, Bowen Cui, Yuting Dai, Ling Bai, & Jinyan Huang. (2018). BioInstaller: a comprehensive R package to construct interactive and reproducible biological data analysis applications based on the R platform. PeerJ. 6. e5853–e5853. 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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