Yin Shen
- Molecular Biology top 0.5%
- Genomics and Chromatin Dynamics 8
- Epigenetics and DNA Methylation 7
- Pluripotent Stem Cells Research 3
- RNA Research and Splicing 3
- RNA modifications and cancer 2
- Genetics top 1%
- Genetics and Neurodevelopmental Disorders 2
- Plant Science top 1%
- Chromosomal and Genetic Variations 3
- Plant Molecular Biology Research 2
- Cancer Research top 2%
- Developmental Neuroscience top 5%
- Journals
- Nature (3 papers)Proceedings of the National Academy of Sciences (1 paper)Development (1 paper)
- Partner nations
- United StatesChinaIreland
In The Last Decade
Yin Shen
15 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Molecular Biology 7.1k
- Genetics 1.5k
- Plant Science 1.6k
- Cancer Research 653
- Developmental Neuroscience 163
Countries citing papers authored by Yin Shen
This map shows the geographic impact of Yin Shen'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 Yin Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yin Shen more than expected).
Fields of papers citing papers by Yin Shen
This network shows the impact of papers produced by Yin Shen. 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 Yin Shen. The network helps show where Yin Shen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yin Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2019 | 238 | |
| 4 | 2018 | 38 | |
| 5 | 2017 | 45 | |
| 6 | Chromatin architecture reorganization during stem cell differentiationbreakdown → | 2015 | 1062 |
| 7 | 2013 | 32 | |
| 8 | Topological domains in mammalian genomes identified by analysis of chromatin interactionsbreakdown → | 2012 | 4531 |
| 9 | 2012 | 74 | |
| 10 | A map of the cis-regulatory sequences in the mouse genomebreakdown → | 2012 | 1021 |
| 11 | 2011 | 1 | |
| 12 | 2009 | 4 | |
| 13 | 2008 | 334 | |
| 14 | 2005 | 328 | |
| 15 | 2003 | 3 | |
| 16 | [Study on the risk factors influencing the epidemicity of epidemic cerebrospinal meningitis]. | 1999 | 2 |
About Yin Shen
Yin Shen is a scholar working on Developmental Neuroscience, Molecular Biology and Microbiology, having authored 16 papers that have together received 7.7k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (8 papers), Epigenetics and DNA Methylation (7 papers), Pluripotent Stem Cells Research (3 papers), Chromosomal and Genetic Variations (3 papers), RNA Research and Splicing (3 papers), RNA modifications and cancer (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Plant Molecular Biology Research (2 papers). The work is most often cited by research in Molecular Biology (7.1k citations), Genetics (1.5k citations) and Plant Science (1.6k citations). Yin Shen has collaborated with scholars based in United States, China and Ireland. Frequent co-authors include Bing Ren, Jesse R. Dixon, Feng Yue, Audrey Kim, Siddarth Selvaraj, Jun S. Liu, Yan Li, Ming Hu, Victor V. Lobanenkov and Zhen Ye. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Development.
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.