Jun-Han Su

2.8k total citations · 4 hit papers
9 papers, 1.7k citations indexed

About

Jun-Han Su is a scholar working on Molecular Biology, Infectious Diseases and Surgery. According to data from OpenAlex, Jun-Han Su has authored 9 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Infectious Diseases and 1 paper in Surgery. Recurrent topics in Jun-Han Su's work include Genomics and Chromatin Dynamics (6 papers), RNA Research and Splicing (5 papers) and RNA and protein synthesis mechanisms (2 papers). Jun-Han Su is often cited by papers focused on Genomics and Chromatin Dynamics (6 papers), RNA Research and Splicing (5 papers) and RNA and protein synthesis mechanisms (2 papers). Jun-Han Su collaborates with scholars based in United States, Switzerland and Taiwan. Jun-Han Su's co-authors include Xiaowei Zhuang, Bogdan Bintu, Seon Kinrot, Siyuan Wang, Leslie J. Mateo, Kei Yamaya, Alistair N. Boettiger, Nicholas A. Sinnott‐Armstrong, Pu Zheng and Jeffrey R. Moffitt and has published in prestigious journals such as Science, Cell and Molecular Cell.

In The Last Decade

Jun-Han Su

9 papers receiving 1.7k citations

Hit Papers

Super-resolution chromatin tracing reveals domains and co... 2016 2026 2019 2022 2018 2016 2020 2022 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun-Han Su United States 7 1.5k 418 162 142 87 9 1.7k
Junhong Choi United States 17 1.1k 0.8× 66 0.2× 185 1.1× 34 0.2× 38 0.4× 31 1.2k
Jennifer A. Surtees United States 17 961 0.6× 127 0.3× 279 1.7× 32 0.2× 22 0.3× 36 1.1k
Tomoya Kujirai Japan 18 1.2k 0.8× 130 0.3× 69 0.4× 15 0.1× 55 0.6× 55 1.3k
Eric J. Tomko United States 15 963 0.6× 95 0.2× 234 1.4× 21 0.1× 28 0.3× 22 1.0k
Jake J. Siegel United States 7 566 0.4× 113 0.3× 166 1.0× 30 0.2× 19 0.2× 7 762
Murali Palangat United States 19 1.6k 1.0× 31 0.1× 494 3.0× 67 0.5× 33 0.4× 28 1.7k
Chongyi Chen United States 6 854 0.6× 49 0.1× 357 2.2× 97 0.7× 11 0.1× 9 986
Daniel H. Lin United States 11 929 0.6× 38 0.1× 64 0.4× 24 0.2× 53 0.6× 14 1.1k
Mikhail K. Levin United States 18 952 0.6× 56 0.1× 195 1.2× 25 0.2× 101 1.2× 30 1.3k
Damian Wójtowicz United States 15 1.1k 0.7× 117 0.3× 225 1.4× 13 0.1× 11 0.1× 31 1.3k

Countries citing papers authored by Jun-Han Su

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jun-Han Su

This figure shows the co-authorship network connecting the top 25 collaborators of Jun-Han Su. A scholar is included among the top collaborators of Jun-Han Su based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun-Han Su. Jun-Han Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Li, Yen-Der, Hsin‐Che Huang, Timothy En Haw Chan, et al.. (2022). COVID-19 vaccine update: vaccine effectiveness, SARS-CoV-2 variants, boosters, adverse effects, and immune correlates of protection. Journal of Biomedical Science. 29(1). 82–82. 111 indexed citations breakdown →
2.
Amitai, Assaf, Jason D. Buenrostro, Aditi Chakrabarti, et al.. (2020). Advances in Chromatin and Chromosome Research: Perspectives from Multiple Fields. Molecular Cell. 79(6). 881–901. 38 indexed citations
3.
Su, Jun-Han, Pu Zheng, Seon Kinrot, Bogdan Bintu, & Xiaowei Zhuang. (2020). Genome-Scale Imaging of the 3D Organization and Transcriptional Activity of Chromatin. Cell. 182(6). 1641–1659.e26. 346 indexed citations breakdown →
4.
Shafer, Maxwell E. R., et al.. (2020). Lamina-Dependent Stretching and Unconventional Chromosome Compartments in Early C. elegans Embryos. Molecular Cell. 78(1). 96–111.e6. 43 indexed citations
5.
Chiang, Chien‐Hsieh, et al.. (2019). Chronic Viral Hepatitis Signifies the Association of Premixed Insulin Analogues with Liver Cancer Risks: A Nationwide Population-Based Study. International Journal of Environmental Research and Public Health. 16(12). 2097–2097. 4 indexed citations
6.
Bintu, Bogdan, Leslie J. Mateo, Jun-Han Su, et al.. (2018). Super-resolution chromatin tracing reveals domains and cooperative interactions in single cells. Science. 362(6413). 636 indexed citations breakdown →
7.
Wang, Siyuan, Jun-Han Su, Brian J. Beliveau, et al.. (2017). Spatial Organization of Chromatin Domains and Compartments in Single Chromosomes. Biophysical Journal. 112(3). 217a–217a. 6 indexed citations
8.
Wang, Siyuan, Jun-Han Su, Brian J. Beliveau, et al.. (2016). Spatial organization of chromatin domains and compartments in single chromosomes. Science. 353(6299). 598–602. 422 indexed citations breakdown →
9.
Wang, Siyuan, Jun-Han Su, Feng Zhang, & Xiaowei Zhuang. (2016). An RNA-aptamer-based two-color CRISPR labeling system. Scientific Reports. 6(1). 26857–26857. 79 indexed citations

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.

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