John Yong
Impact in
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- Epigenetics and DNA Methylation
- Gene Regulatory Network Analysis
- CRISPR and Genetic Engineering
- Single-cell and spatial transcriptomics
- Genomics and Chromatin Dynamics
- Pluripotent Stem Cells Research
- RNA Research and Splicing
- RNA modifications and cancer
- Biophysics top 10%
Papers in
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- Single-cell and spatial transcriptomics 2
- Gene Regulatory Network Analysis 2
- Glycosylation and Glycoproteins Research 1
- Epigenetics and DNA Methylation 1
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- Autophagy in Disease and Therapy 2
- Co-authors
- Michael B. Elowitz (2 shared papers)Yaron E. Antebi (1 shared paper)Kayla McCue (1 shared paper)Narumi Uno (1 shared paper)Yasuhiro Kazuki (1 shared paper)Lacramioara Bintu (1 shared paper)Mitsuo Oshimura (1 shared paper)M. Azim Surani (1 shared paper)
- Journals
- eLife (2 papers)Journal of Gastroenterology and Hepatology (1 paper)IEEE Journal of Solid-State Circuits (1 paper)Proceedings of the National Academy of Sciences (1 paper)Science (1 paper)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
John Yong
7 papers receiving 594 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 495
- Biophysics 38
- Aging 9
- Virology 12
- Genetics 65
Countries citing papers authored by John Yong
This map shows the geographic impact of John Yong'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 John Yong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Yong more than expected).
Fields of papers citing papers by John Yong
This network shows the impact of papers produced by John Yong. 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 John Yong. The network helps show where John Yong may publish in the future.
Co-authors
The 25 scholars most cited alongside John Yong, 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 | 2016 | 311 | |
| 2 | 2014 | 222 | |
| 3 | 2011 | 35 | |
| 4 | 1999 | 19 | |
| 5 | 1997 | 7 | |
| 6 | 2023 | 4 | |
| 7 | 2003 | 2 | |
| 8 | 2024 | 0 | |
| 9 | 2022 | 0 |
About John Yong
John Yong is a scholar working on Molecular Biology, Epidemiology, Hardware and Architecture, Cell Biology and Organic Chemistry, having authored 9 papers that have together received 600 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Parallel Computing and Optimization Techniques (2 papers), Single-cell and spatial transcriptomics (2 papers), Gene Regulatory Network Analysis (2 papers), Autophagy in Disease and Therapy (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Molecular Biology (495 citations), Biophysics (38 citations), Aging (9 citations), Virology (12 citations) and Genetics (65 citations). John Yong has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Michael B. Elowitz, Yaron E. Antebi, Kayla McCue, Narumi Uno, Yasuhiro Kazuki, Lacramioara Bintu, Mitsuo Oshimura, M. Azim Surani, Julia Tischler and Alphan Altınok. Their work appears in journals such as eLife, Journal of Gastroenterology and Hepatology, IEEE Journal of Solid-State Circuits, Proceedings of the National Academy of Sciences and Science.
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.