Jun-Han Su
Impact in
- Biophysics top 2%
- Advanced Fluorescence Microscopy Techniques
- 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
- Single-cell and spatial transcriptomics 1
- Advanced biosensing and bioanalysis techniques 1
- Metabolism, Diabetes, and Cancer 1
-
- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Xiaowei Zhuang (6 shared papers)Bogdan Bintu (4 shared papers)Seon Kinrot (2 shared papers)Siyuan Wang (4 shared papers)Kei Yamaya (1 shared paper)Nicholas A. Sinnott‐Armstrong (1 shared paper)Alistair N. Boettiger (1 shared paper)Leslie J. Mateo (1 shared paper)
- Journals
- Molecular Cell (2 papers)Science (2 papers)Cell (1 paper)Scientific Reports (1 paper)Biophysical Journal (1 paper)
- Partner nations
- United StatesSwitzerlandTaiwan
In The Last Decade
Jun-Han Su
9 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Biophysics 142
- Molecular Biology 1.5k
- Structural Biology 30
- Plant Science 418
- Aging 16
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 | 636 |
| 2 | Spatial organization of chromatin domains and compartments in single chromosomes Hit paper breakdown → | 2016 | 422 |
| 3 | Genome-Scale Imaging of the 3D Organization and Transcriptional Activity of Chromatin Hit paper breakdown → | 2020 | 346 |
| 4 | COVID-19 vaccine update: vaccine effectiveness, SARS-CoV-2 variants, boosters, adverse effects, and immune correlates of protection Hit paper breakdown → | 2022 | 111 |
| 5 | 2016 | 79 | |
| 6 | 2020 | 43 | |
| 7 | 2020 | 38 | |
| 8 | 2017 | 6 | |
| 9 | 2019 | 4 |
About Jun-Han Su
Jun-Han Su is a scholar working on Molecular Biology, Infectious Diseases, Surgery, Health and Epidemiology, having authored 9 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), RNA Research and Splicing (5 papers), RNA and protein synthesis mechanisms (2 papers), Single-cell and spatial transcriptomics (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Pancreatic function and diabetes (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Biophysics (142 citations), Molecular Biology (1.5k citations), Structural Biology (30 citations), Plant Science (418 citations) and Aging (16 citations). Jun-Han Su has collaborated with scholars based in United States, Switzerland and Taiwan. Frequent co-authors include Xiaowei Zhuang, Bogdan Bintu, Seon Kinrot, Siyuan Wang, Kei Yamaya, Nicholas A. Sinnott‐Armstrong, Alistair N. Boettiger, Leslie J. Mateo, Pu Zheng and Chao-ting Wu. Their work appears in journals such as Molecular Cell, Science, Cell, Scientific Reports 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.