Yulin Dai

1.9k citations
55 papers · 1.0k · h-index 17

Impact in

Papers in

    • Bioinformatics and Genomic Networks 16
    • Single-cell and spatial transcriptomics 10
    • Epigenetics and DNA Methylation 7
    • RNA Research and Splicing 4
    • RNA modifications and cancer 4
    • Genetic Associations and Epidemiology 14

Yulin Dai

54 papers receiving 1000 citations

Peers

Yulin Dai
Comparison fields: 5 of 102
  • Biological Psychiatry 34
  • Genetics 260
  • Cancer Research 139
  • Aging 16
  • Molecular Biology 600
Replace Mulin Jun Li with:
Mulin Jun Li China
Mike Kucera Canada
Abhijeet R. Sonawane United States
Alexandra Keenan United States
Manhong Dai United States
Ryan A. Miller United States
Zhen Qi United States
Emma Hastings United Kingdom
Yulin Dai relative to Mulin Jun Li China Mulin Jun Li's profile →
Citations per field
00.5×2.7×
Mulin Jun Li · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Yulin Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yulin Dai Line = papers co-authored together Yulin Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019103
2 2017100
3 202264
4 202157
5 202056
6 201951
7 202042
8 201341
9 202133
10 202028
11 202128
12 202128
13 201923
14 202021
15 202219
16 202219
17 202218
18 202016
19 201916
20 202215

About Yulin Dai

Yulin Dai is a scholar working on Molecular Biology, Genetics, Cancer Research, Immunology and Physiology, having authored 55 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (16 papers), Genetic Associations and Epidemiology (14 papers), Single-cell and spatial transcriptomics (10 papers), Epigenetics and DNA Methylation (7 papers), Tryptophan and brain disorders (5 papers), Cancer Genomics and Diagnostics (5 papers), RNA Research and Splicing (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Biological Psychiatry (34 citations), Genetics (260 citations), Cancer Research (139 citations), Aging (16 citations) and Molecular Biology (600 citations). Yulin Dai has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Zhongming Zhao, Peilin Jia, Guangsheng Pei, Ruifeng Hu, Astrid M. Manuel, Hui Yu, Degui Zhi, Jingcheng Du, David C. Samuels and Yu Shyr. Their work appears in journals such as Nucleic Acids Research, BMC Genomics, BMC Medical Genomics, Bioinformatics and Human Molecular Genetics.

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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