Jun-Han Su
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- Single-cell and spatial transcriptomics
- CRISPR and Genetic Engineering
- Nuclear Structure and Function
- Biophysics top 2%
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- Genomics and Chromatin Dynamics 6
- Metabolism, Diabetes, and Cancer 1
- CRISPR and Genetic Engineering 1
-
- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Xiaowei Zhuang (6 shared papers)Bogdan Bintu (4 shared papers)Seon Kinrot (2 shared papers)Siyuan Wang (4 shared papers)Chien‐Fu Hung (4 shared papers)T.‐C. Wu (4 shared papers)Alistair Nicol Boettiger (1 shared paper)Leslie J Valencia (1 shared paper)
- Journals
- Molecular Cell (2 papers)Science (2 papers)Journal of Biomedical Science (2 papers)Biophysical Journal (1 paper)Cell (1 paper)
- Partner nations
- United StatesTaiwanEgypt
In The Last Decade
Jun-Han Su
12 papers receiving 2.2k citations
Jun-Han Su's Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Biology 1.6k
- Biophysics 151
- Infectious Diseases 272
- Modeling and Simulation 26
- Health 47
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 | 693 |
| 2 | 2016 | 464 | |
| 3 | Genome-Scale Imaging of the 3D Organization and Transcriptional Activity of Chromatin Hit paper breakdown → | 2020 | 380 |
| 4 | 2020 | 317 | |
| 5 | 2022 | 143 | |
| 6 | 2010 | 97 | |
| 7 | 2016 | 87 | |
| 8 | 2020 | 47 | |
| 9 | 2020 | 44 | |
| 10 | 2017 | 7 | |
| 11 | 2019 | 5 | |
| 12 | 2020 | 1 |
About Jun-Han Su
Jun-Han Su is a scholar working on Molecular Biology, Infectious Diseases, Biophysics, Hepatology and Epidemiology, having authored 12 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Cervical Cancer and HPV Research (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper), Hepatitis B Virus Studies (1 paper), Metabolism, Diabetes, and Cancer (1 paper), CRISPR and Genetic Engineering (1 paper) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Molecular Biology (1.6k citations), Biophysics (151 citations), Infectious Diseases (272 citations), Modeling and Simulation (26 citations) and Health (47 citations). Jun-Han Su has collaborated with scholars based in United States, Taiwan and Egypt. Frequent co-authors include Xiaowei Zhuang, Bogdan Bintu, Seon Kinrot, Siyuan Wang, Chien‐Fu Hung, T.‐C. Wu, Alistair Nicol Boettiger, Leslie J Valencia, Kei Yamaya and Nasa Sinnott-Armstrong. Their work appears in journals such as Molecular Cell, Science, Journal of Biomedical Science, Biophysical Journal and Cell.
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.