Yulin Dai
Impact in
Papers in
-
- Single-cell and spatial transcriptomics 11
- Bioinformatics and Genomic Networks 11
- Epigenetics and DNA Methylation 5
- RNA modifications and cancer 3
- Genetics 18
- Genetic Associations and Epidemiology 12
- Co-authors
- Zhongming Zhao (48 shared papers)Peilin Jia (33 shared papers)Guangsheng Pei (14 shared papers)Ruifeng Hu (10 shared papers)Astrid M. Manuel (11 shared papers)Jingcheng Du (1 shared paper)Andi Liu (7 shared papers)Cui Tao (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)BMC Genomics (4 papers)BMC Medical Genomics (3 papers)Human Molecular Genetics (2 papers)Bioinformatics (2 papers)
- Partner nations
- United StatesChinaNorway
In The Last Decade
Yulin Dai
54 papers receiving 959 citations
Peers
Comparison fields: 5 of 97
- Biological Psychiatry 22
- Aging 14
- Genetics 194
- Cancer Research 97
- Molecular Biology 474
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 | 106 | |
| 2 | 2022 | 71 | |
| 3 | 2021 | 60 | |
| 4 | 2020 | 60 | |
| 5 | 2019 | 52 | |
| 6 | 2020 | 43 | |
| 7 | 2013 | 41 | |
| 8 | 2021 | 34 | |
| 9 | 2020 | 30 | |
| 10 | 2021 | 30 | |
| 11 | 2021 | 28 | |
| 12 | 2020 | 23 | |
| 13 | 2019 | 23 | |
| 14 | 2022 | 22 | |
| 15 | 2022 | 21 | |
| 16 | 2022 | 21 | |
| 17 | 2019 | 17 | |
| 18 | 2020 | 16 | |
| 19 | 2022 | 16 | |
| 20 | 2020 | 16 |
About Yulin Dai
Yulin Dai is a scholar working on Molecular Biology, Genetics, Cancer Research, Physiology and Immunology, having authored 55 papers that have together received 968 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (12 papers), Single-cell and spatial transcriptomics (11 papers), Bioinformatics and Genomic Networks (11 papers), Epigenetics and DNA Methylation (5 papers), Cancer Genomics and Diagnostics (5 papers), Cancer-related molecular mechanisms research (3 papers), Tryptophan and brain disorders (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Biological Psychiatry (22 citations), Aging (14 citations), Genetics (194 citations), Cancer Research (97 citations) and Molecular Biology (474 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, Jingcheng Du, Andi Liu, Cui Tao, Degui Zhi and Yin‐Ying Wang. Their work appears in journals such as Nucleic Acids Research, BMC Genomics, BMC Medical Genomics, Human Molecular Genetics and Bioinformatics.
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.