Jun-Han Su
Impact in
- Biophysics top 2%
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Single-cell and spatial transcriptomics
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
Papers in
-
- Genomics and Chromatin Dynamics 6
- RNA Research and Splicing 5
- RNA and protein synthesis mechanisms 2
- CRISPR and Genetic Engineering 1
- RNA modifications and cancer 1
- Co-authors
- Xiaowei Zhuang (6 shared papers)Bogdan Bintu (4 shared papers)Seon Kinrot (2 shared papers)Siyuan (Steven) Wang (4 shared papers)T.‐C. Wu (3 shared papers)Chien‐Fu Hung (3 shared papers)Nasa Sinnott-Armstrong (1 shared paper)Alistair Nicol Boettiger (1 shared paper)
- Journals
- Science (2 papers)Journal of Biomedical Science (2 papers)Molecular Cell (2 papers)BioDrugs (1 paper)Biophysical Journal (1 paper)
- Partner nations
- United StatesTaiwanGermany
In The Last Decade
Jun-Han Su
11 papers receiving 2.2k citations
Jun-Han Su's Hit Papers
Peers
Comparison fields: 5 of 121
- Biophysics 150
- Molecular Biology 1.7k
- Structural Biology 29
- Infectious Diseases 285
- Health 87
Countries citing papers authored by Jun-Han Su
This map shows the geographic impact of Jun-Han Su'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 Jun-Han Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-Han Su more than expected).
Fields of papers citing papers by Jun-Han Su
This network shows the impact of papers produced by Jun-Han Su. 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 Jun-Han Su. The network helps show where Jun-Han Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun-Han Su, 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 | Super-resolution chromatin tracing reveals domains and cooperative interactions in single cells Hit paper breakdown → | 2018 | 676 |
| 2 | Spatial organization of chromatin domains and compartments in single chromosomes Hit paper breakdown → | 2016 | 448 |
| 3 | Genome-Scale Imaging of the 3D Organization and Transcriptional Activity of Chromatin Hit paper breakdown → | 2020 | 369 |
| 4 | 2020 | 317 | |
| 5 | COVID-19 vaccine update: vaccine effectiveness, SARS-CoV-2 variants, boosters, adverse effects, and immune correlates of protection Hit paper breakdown → | 2022 | 142 |
| 6 | 2010 | 97 | |
| 7 | 2016 | 86 | |
| 8 | 2020 | 46 | |
| 9 | 2020 | 44 | |
| 10 | 2017 | 7 | |
| 11 | 2019 | 5 |
About Jun-Han Su
Jun-Han Su is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Aging and Health, having authored 11 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), RNA Research and Splicing (5 papers), SARS-CoV-2 and COVID-19 Research (2 papers), RNA and protein synthesis mechanisms (2 papers), CRISPR and Genetic Engineering (1 paper), COVID-19 Clinical Research Studies (1 paper), Pancreatic function and diabetes (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Biophysics (150 citations), Molecular Biology (1.7k citations), Structural Biology (29 citations), Infectious Diseases (285 citations) and Health (87 citations). Jun-Han Su has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Xiaowei Zhuang, Bogdan Bintu, Seon Kinrot, Siyuan (Steven) Wang, T.‐C. Wu, Chien‐Fu Hung, Nasa Sinnott-Armstrong, Alistair Nicol Boettiger, Leslie J Valencia and Kei Yamaya. Their work appears in journals such as Science, Journal of Biomedical Science, Molecular Cell, BioDrugs and Biophysical Journal.
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.