Min Su
- Structural Biology top 2%
- Molecular Biology top 2%
- RNA and protein synthesis mechanisms 13
- Advanced biosensing and bioanalysis techniques 8
- DNA and Nucleic Acid Chemistry 7
- RNA modifications and cancer 6
- Protein Structure and Dynamics 5
- Ecology top 2%
- Bacteriophages and microbial interactions 11
- Biomaterials top 5%
- Endocrinology top 5%
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- Enzyme Structure and Function 7
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- Bacterial Genetics and Biotechnology 6
- Journals
- Journal of Molecular Biology (6 papers)Journal of Biological Chemistry (5 papers)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Min Su
62 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Structural Biology 85
- Molecular Biology 3.4k
- Ecology 652
- Biomaterials 229
- Endocrinology 78
Countries citing papers authored by Min Su
This map shows the geographic impact of Min 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 Min Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Su more than expected).
Fields of papers citing papers by Min Su
This network shows the impact of papers produced by Min 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 Min Su. The network helps show where Min Su may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Min 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 | 2024 | 1 | |
| 2 | 2023 | 16 | |
| 3 | 2022 | 8 | |
| 4 | 2022 | 7 | |
| 5 | 2020 | 97 | |
| 6 | 2020 | 35 | |
| 7 | 2020 | 20 | |
| 8 | 2019 | 46 | |
| 9 | 2018 | 27 | |
| 10 | 2017 | 193 | |
| 11 | 2017 | 27 | |
| 12 | 2016 | 21 | |
| 13 | 2016 | 89 | |
| 14 | 2014 | 11 | |
| 15 | 2013 | 113 | |
| 16 | 2013 | 72 | |
| 17 | 2010 | 15 | |
| 18 | Hierarchical self-assembly of DNA into symmetric supramolecular polyhedrabreakdown → | 2008 | 1069 |
| 19 | 2008 | 11 | |
| 20 | 2008 | 17 |
About Min Su
Min Su is a scholar working on Structural Biology, Virology, Microbiology, Molecular Biology and Ecology, having authored 63 papers that have together received 4.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (13 papers), Bacteriophages and microbial interactions (11 papers), Advanced biosensing and bioanalysis techniques (8 papers), DNA and Nucleic Acid Chemistry (7 papers), Enzyme Structure and Function (7 papers), RNA modifications and cancer (6 papers), Bacterial Genetics and Biotechnology (6 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Structural Biology (85 citations), Molecular Biology (3.4k citations), Ecology (652 citations), Biomaterials (229 citations) and Endocrinology (78 citations). Min Su has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Wen Jiang, Alexander E. Ribbe, Chuan Zhang, Chengde Mao, Yu He, Tao Ye, G.T. Montelione, Ping‐An Fang, Georgios Skiniotis and J.F. Hunt. Their work appears in journals such as Journal of Molecular Biology, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Structure 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.