Joy S. Xiang
Impact in
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- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- Advanced biosensing and bioanalysis techniques
- RNA modifications and cancer
- RNA Research and Splicing
- Gene Regulatory Network Analysis
- RNA Interference and Gene Delivery
- Microbial Metabolic Engineering and Bioproduction
Papers in
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- RNA and protein synthesis mechanisms 6
- CRISPR and Genetic Engineering 4
- Advanced biosensing and bioanalysis techniques 3
- RNA modifications and cancer 3
- RNA Research and Splicing 3
- Gene Regulatory Network Analysis 1
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- Viral gastroenteritis research and epidemiology 1
- Co-authors
- Christina D. Smolke (4 shared papers)Brent Townshend (2 shared papers)Andrew Kennedy (1 shared paper)Eric J. Hayden (1 shared paper)Michaela M. Hinks (1 shared paper)Maureen McKeague (1 shared paper)Matias Kaplan (1 shared paper)G Yeo (3 shared papers)
- Journals
- Nature Communications (3 papers)Molecular Cell (1 paper)Nature Methods (1 paper)RNA (1 paper)The Journal of Cell Biology (1 paper)
- Partner nations
- United StatesSingaporeEstonia
In The Last Decade
Joy S. Xiang
9 papers receiving 254 citations
Peers
Comparison fields: 5 of 42
- Molecular Biology 230
- Cancer Research 14
- Oncology 17
- Genetics 18
- Biomedical Engineering 22
Countries citing papers authored by Joy S. Xiang
This map shows the geographic impact of Joy S. Xiang'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 Joy S. Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joy S. Xiang more than expected).
Fields of papers citing papers by Joy S. Xiang
This network shows the impact of papers produced by Joy S. Xiang. 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 Joy S. Xiang. The network helps show where Joy S. Xiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Joy S. Xiang, 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 | 2015 | 83 | |
| 2 | 2021 | 40 | |
| 3 | 2019 | 39 | |
| 4 | 2016 | 38 | |
| 5 | 2023 | 19 | |
| 6 | 2018 | 17 | |
| 7 | 2024 | 16 | |
| 8 | 2025 | 1 | |
| 9 | 2024 | 1 |
About Joy S. Xiang
Joy S. Xiang is a scholar working on Molecular Biology, Infectious Diseases, Cardiology and Cardiovascular Medicine, Organic Chemistry and Surgery, having authored 9 papers that have together received 254 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), CRISPR and Genetic Engineering (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), Viral Infections and Immunology Research (1 paper), Viral gastroenteritis research and epidemiology (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Molecular Biology (230 citations), Cancer Research (14 citations), Oncology (17 citations), Genetics (18 citations) and Biomedical Engineering (22 citations). Joy S. Xiang has collaborated with scholars based in United States, Singapore and Estonia. Frequent co-authors include Christina D. Smolke, Brent Townshend, Andrew Kennedy, Eric J. Hayden, Michaela M. Hinks, Maureen McKeague, Matias Kaplan, G Yeo, Katherine Rothamel and Danielle Schafer. Their work appears in journals such as Nature Communications, Molecular Cell, Nature Methods, RNA and The Journal of Cell Biology.
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.