Yulin Dai
Impact in
- Biological Psychiatry top 10%
- Genetics top 10%
- Genetic Associations and Epidemiology
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
- Genetics 21
- Genetic Associations and Epidemiology 14
- Co-authors
- Zhongming Zhao (47 shared papers)Peilin Jia (33 shared papers)Guangsheng Pei (14 shared papers)Ruifeng Hu (10 shared papers)Astrid M. Manuel (11 shared papers)Hui Yu (1 shared paper)Degui Zhi (1 shared paper)Jingcheng Du (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)BMC Genomics (4 papers)BMC Medical Genomics (3 papers)Bioinformatics (2 papers)Human Molecular Genetics (2 papers)
- Partner nations
- United StatesChinaNorway
In The Last Decade
Yulin Dai
54 papers receiving 1000 citations
Peers
Comparison fields: 5 of 102
- Biological Psychiatry 34
- Genetics 260
- Cancer Research 139
- Aging 16
- Molecular Biology 600
Countries citing papers authored by Yulin Dai
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
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.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 103 | |
| 2 | 2017 | 100 | |
| 3 | 2022 | 64 | |
| 4 | 2021 | 57 | |
| 5 | 2020 | 56 | |
| 6 | 2019 | 51 | |
| 7 | 2020 | 42 | |
| 8 | 2013 | 41 | |
| 9 | 2021 | 33 | |
| 10 | 2020 | 28 | |
| 11 | 2021 | 28 | |
| 12 | 2021 | 28 | |
| 13 | 2019 | 23 | |
| 14 | 2020 | 21 | |
| 15 | 2022 | 19 | |
| 16 | 2022 | 19 | |
| 17 | 2022 | 18 | |
| 18 | 2020 | 16 | |
| 19 | 2019 | 16 | |
| 20 | 2022 | 15 |
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.