S. Stephen Yi
Impact in
- Aging top 10%
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
Papers in
-
- Bioinformatics and Genomic Networks 13
- RNA Research and Splicing 8
- CRISPR and Genetic Engineering 6
- RNA modifications and cancer 6
- Gene Regulatory Network Analysis 4
- Single-cell and spatial transcriptomics 4
- Epigenetics and DNA Methylation 4
-
- Cancer Genomics and Diagnostics 7
- Co-authors
- Nidhi Sahni (31 shared papers)Marc Vidal (5 shared papers)Yongsheng Li (9 shared papers)Erxi Wu (10 shared papers)Gordon B. Mills (9 shared papers)Jason H. Huang (7 shared papers)Daniel J. McGrail (13 shared papers)David E. Hill (3 shared papers)
- Journals
- Nature Communications (3 papers)Cell (3 papers)Cell Reports Medicine (2 papers)Cell Reports (2 papers)Briefings in Bioinformatics (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
S. Stephen Yi
47 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 102
- Aging 22
- Molecular Biology 814
- Cancer Research 170
- Cell Biology 87
- Cellular and Molecular Neuroscience 95
Countries citing papers authored by S. Stephen Yi
This map shows the geographic impact of S. Stephen Yi'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 S. Stephen Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Stephen Yi more than expected).
Fields of papers citing papers by S. Stephen Yi
This network shows the impact of papers produced by S. Stephen Yi. 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 S. Stephen Yi. The network helps show where S. Stephen Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Stephen Yi, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 102 | |
| 2 | 2017 | 87 | |
| 3 | 2023 | 87 | |
| 4 | 2015 | 86 | |
| 5 | 2017 | 84 | |
| 6 | 2018 | 78 | |
| 7 | 2021 | 77 | |
| 8 | 2016 | 68 | |
| 9 | 2017 | 66 | |
| 10 | 2023 | 57 | |
| 11 | 2019 | 47 | |
| 12 | 2017 | 35 | |
| 13 | 2022 | 32 | |
| 14 | 2023 | 24 | |
| 15 | 2010 | 22 | |
| 16 | 2022 | 21 | |
| 17 | 2018 | 20 | |
| 18 | 2023 | 18 | |
| 19 | 2021 | 16 | |
| 20 | 2018 | 14 |
About S. Stephen Yi
S. Stephen Yi is a scholar working on Molecular Biology, Cancer Research, Genetics, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (13 papers), RNA Research and Splicing (8 papers), Cancer Genomics and Diagnostics (7 papers), CRISPR and Genetic Engineering (6 papers), RNA modifications and cancer (6 papers), Gene Regulatory Network Analysis (4 papers), Single-cell and spatial transcriptomics (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Aging (22 citations), Molecular Biology (814 citations), Cancer Research (170 citations), Cell Biology (87 citations) and Cellular and Molecular Neuroscience (95 citations). S. Stephen Yi has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Nidhi Sahni, Marc Vidal, Yongsheng Li, Erxi Wu, Gordon B. Mills, Jason H. Huang, Daniel J. McGrail, David E. Hill, Damir Nizamutdinov and Xingxin Pan. Their work appears in journals such as Nature Communications, Cell, Cell Reports Medicine, Cell Reports and Briefings in 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.