Yulin Dai

1.9k total citations
55 papers, 1.0k citations indexed

About

Yulin Dai is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Yulin Dai has authored 55 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 21 papers in Genetics and 8 papers in Cancer Research. Recurrent topics in Yulin Dai's work include Bioinformatics and Genomic Networks (16 papers), Genetic Associations and Epidemiology (14 papers) and Single-cell and spatial transcriptomics (10 papers). Yulin Dai is often cited by papers focused on Bioinformatics and Genomic Networks (16 papers), Genetic Associations and Epidemiology (14 papers) and Single-cell and spatial transcriptomics (10 papers). Yulin Dai collaborates with scholars based in United States, China and Norway. Yulin Dai's co-authors include Zhongming Zhao, Peilin Jia, Guangsheng Pei, Ruifeng Hu, Astrid M. Manuel, David C. Samuels, Degui Zhi, Cui Tao, Shilin Zhao and Yan Guo and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Yulin Dai

54 papers receiving 1000 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yulin Dai United States 17 600 260 139 118 113 55 1.0k
Ramu Elango Saudi Arabia 19 447 0.7× 263 1.0× 104 0.7× 87 0.7× 112 1.0× 76 1.0k
Wanqiu Chen United States 21 929 1.5× 199 0.8× 123 0.9× 81 0.7× 87 0.8× 48 1.7k
Maya Ghoussaini United Kingdom 15 565 0.9× 363 1.4× 146 1.1× 106 0.9× 65 0.6× 16 932
Mulin Jun Li China 15 883 1.5× 436 1.7× 213 1.5× 81 0.7× 164 1.5× 32 1.4k
Abhijeet R. Sonawane United States 14 635 1.1× 181 0.7× 100 0.7× 92 0.8× 75 0.7× 24 997
Sipko van Dam Netherlands 9 736 1.2× 125 0.5× 119 0.9× 119 1.0× 72 0.6× 17 1.0k
John Platig United States 13 595 1.0× 182 0.7× 107 0.8× 48 0.4× 62 0.5× 24 870
J. Haase United States 2 696 1.2× 182 0.7× 116 0.8× 102 0.9× 187 1.7× 2 1.1k
Jason Boyer United States 4 696 1.2× 182 0.7× 116 0.8× 102 0.9× 187 1.7× 4 1.1k
José M. G. Izarzugaza Denmark 19 490 0.8× 157 0.6× 118 0.8× 61 0.5× 109 1.0× 32 892

Countries citing papers authored by Yulin Dai

Since Specialization
Citations

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

Fields of papers citing papers by Yulin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulin Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Yulin Dai. A scholar is included among the top collaborators of Yulin 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 Yulin Dai. Yulin 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
1.
Rupert, Joseph E., Alexes C. Daquinag, Yongmei Yu, et al.. (2024). Depletion of Adipose Stroma-Like Cancer-Associated Fibroblasts Potentiates Pancreatic Cancer Immunotherapy. Cancer Research Communications. 5(1). 5–12. 4 indexed citations
2.
Fernandes, Brisa S., et al.. (2024). Genetic overlap between Alzheimer’s disease and immune-mediated diseases: an atlas of shared genetic determinants and biological convergence. Molecular Psychiatry. 29(8). 2447–2458. 9 indexed citations
3.
Dai, Yulin, Haichao Wei, Seung Hee Yoo, et al.. (2024). Cell-specific regulation of the circadian clock by BMAL1 in the paraventricular nucleus: Implications for regulation of systemic biological rhythms. Cell Reports. 43(7). 114380–114380. 6 indexed citations
4.
Dai, Yulin, Toshiyuki Itai, Guangsheng Pei, et al.. (2024). DeepFace: Deep-learning-based framework to contextualize orofacial-cleft-related variants during human embryonic craniofacial development. Human Genetics and Genomics Advances. 5(3). 100312–100312. 4 indexed citations
5.
Dai, Yulin, et al.. (2023). Investigating cellular heterogeneity at the single-cell level by the flexible and mobile extrachromosomal circular DNA. Computational and Structural Biotechnology Journal. 21. 1115–1121. 8 indexed citations
6.
Dai, Yulin, Peilin Jia, Zhongming Zhao, & Assaf Gottlieb. (2022). A Method for Bridging Population-Specific Genotypes to Detect Gene Modules Associated with Alzheimer’s Disease. Cells. 11(14). 2219–2219. 4 indexed citations
7.
Fernandes, Brisa S., Yulin Dai, Peilin Jia, & Zhongming Zhao. (2022). Charting the proteome landscape in major psychiatric disorders: From biomarkers to biological pathways towards drug discovery. European Neuropsychopharmacology. 61. 43–59. 19 indexed citations
8.
Jia, Peilin, Ruifeng Hu, Fangfang Yan, Yulin Dai, & Zhongming Zhao. (2022). scGWAS: landscape of trait-cell type associations by integrating single-cell transcriptomics-wide and genome-wide association studies. Genome biology. 23(1). 220–220. 15 indexed citations
9.
Liu, Andi, Astrid M. Manuel, Yulin Dai, & Zhongming Zhao. (2022). Prioritization of risk genes in multiple sclerosis by a refined Bayesian framework followed by tissue-specificity and cell type feature assessment. BMC Genomics. 23(S4). 362–362. 8 indexed citations
10.
Dai, Yulin, et al.. (2022). Delineating COVID-19 immunological features using single-cell RNA sequencing. The Innovation. 3(5). 100289–100289. 18 indexed citations
11.
Dai, Yulin, Junke Wang, Hyun-Hwan Jeong, et al.. (2021). Association of CXCR6 with COVID-19 severity: delineating the host genetic factors in transcriptomic regulation. Human Genetics. 140(9). 1313–1328. 33 indexed citations
12.
Jia, Peilin, Ruifeng Hu, Guangsheng Pei, et al.. (2021). Deep generative neural network for accurate drug response imputation. Nature Communications. 12(1). 1740–1740. 57 indexed citations
13.
Pei, Guangsheng, Yin‐Ying Wang, Lukas M. Simon, et al.. (2020). Gene expression imputation and cell-type deconvolution in human brain with spatiotemporal precision and its implications for brain-related disorders. Genome Research. 31(1). 146–158. 9 indexed citations
14.
Yan, Fangfang, Yulin Dai, Junichi Iwata, Zhongming Zhao, & Peilin Jia. (2020). An integrative, genomic, transcriptomic and network-assisted study to identify genes associated with human cleft lip with or without cleft palate. BMC Medical Genomics. 13(S5). 39–39. 16 indexed citations
15.
Manuel, Astrid M., Yulin Dai, Léorah Freeman, Peilin Jia, & Zhongming Zhao. (2020). Dense module searching for gene networks associated with multiple sclerosis. BMC Medical Genomics. 13(S5). 48–48. 13 indexed citations
16.
Pei, Guangsheng, Ruifeng Hu, Yulin Dai, Zhongming Zhao, & Peilin Jia. (2020). Decoding whole-genome mutational signatures in 37 human pan-cancers by denoising sparse autoencoder neural network. Oncogene. 39(27). 5031–5041. 8 indexed citations
17.
Gao, Zhan‐Guo, Alexes C. Daquinag, Zhongming Zhao, et al.. (2020). Age-associated telomere attrition in adipocyte progenitors predisposes to metabolic disease. Nature Metabolism. 2(12). 1482–1497. 56 indexed citations
18.
Pei, Guangsheng, Yulin Dai, Zhongming Zhao, & Peilin Jia. (2019). deTS : tissue-specific enrichment analysis to decode tissue specificity. Bioinformatics. 35(19). 3842–3845. 51 indexed citations
19.
Dai, Yulin, Guangsheng Pei, Zhongming Zhao, & Peilin Jia. (2019). A Convergent Study of Genetic Variants Associated With Crohn’s Disease: Evidence From GWAS, Gene Expression, Methylation, eQTL and TWAS. Frontiers in Genetics. 10. 318–318. 16 indexed citations
20.
Pei, Guangsheng, Hua Sun, Yulin Dai, et al.. (2019). Investigation of multi-trait associations using pathway-based analysis of GWAS summary statistics. BMC Genomics. 20(S1). 79–79. 14 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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