Stephen Shang
Impact in
Papers in
-
- CRISPR and Genetic Engineering 4
- DNA and Nucleic Acid Chemistry 2
- Single-cell and spatial transcriptomics 2
- Genomics and Chromatin Dynamics 2
- Advanced biosensing and bioanalysis techniques 2
- RNA and protein synthesis mechanisms 2
- Epigenetics and DNA Methylation 1
- Co-authors
- Lei S. Qi (3 shared papers)Leiping Zeng (1 shared paper)H. Kempton (1 shared paper)Augustine Chemparathy (1 shared paper)Xiaoshu Xu (1 shared paper)Muneaki Nakamura (1 shared paper)Dmitry M. Kolpashchikov (2 shared papers)Mazhar Adli (4 shared papers)
- Journals
- Molecular Cell (2 papers)Nature Communications (1 paper)Nature Computational Science (1 paper)Endocrinology (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Stephen Shang
9 papers receiving 586 citations
Stephen Shang's Hit Papers
Peers
Comparison fields: 5 of 72
- Business and International Management 33
- Aging 18
- Molecular Biology 500
- Health, Toxicology and Mutagenesis 46
- Genetics 82
Countries citing papers authored by Stephen Shang
This map shows the geographic impact of Stephen Shang'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 Stephen Shang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Shang more than expected).
Fields of papers citing papers by Stephen Shang
This network shows the impact of papers produced by Stephen Shang. 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 Stephen Shang. The network helps show where Stephen Shang may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Shang, 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 | Engineered miniature CRISPR-Cas system for mammalian genome regulation and editing Hit paper breakdown → | 2021 | 280 |
| 2 | 2017 | 74 | |
| 3 | 2010 | 66 | |
| 4 | 2018 | 57 | |
| 5 | 2019 | 45 | |
| 6 | 2018 | 35 | |
| 7 | 2021 | 22 | |
| 8 | 2010 | 14 | |
| 9 | 2022 | 2 |
About Stephen Shang
Stephen Shang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Health, Toxicology and Mutagenesis, Electrical and Electronic Engineering and Cancer Research, having authored 9 papers that have together received 595 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), DNA and Nucleic Acid Chemistry (2 papers), Single-cell and spatial transcriptomics (2 papers), Genomics and Chromatin Dynamics (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), RNA and protein synthesis mechanisms (2 papers), Epigenetics and DNA Methylation (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Business and International Management (33 citations), Aging (18 citations), Molecular Biology (500 citations), Health, Toxicology and Mutagenesis (46 citations) and Genetics (82 citations). Stephen Shang has collaborated with scholars based in United States and India. Frequent co-authors include Lei S. Qi, Leiping Zeng, H. Kempton, Augustine Chemparathy, Xiaoshu Xu, Muneaki Nakamura, Dmitry M. Kolpashchikov, Mazhar Adli, Turan Tufan and Jodi A. Flaws. Their work appears in journals such as Molecular Cell, Nature Communications, Nature Computational Science, Endocrinology and Journal of Clinical Investigation.
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.