Dong Si
Impact in
- Structural Biology top 0.5%
- Advanced Electron Microscopy Techniques and Applications
- Surfaces, Coatings and Films top 5%
- Electron and X-Ray Spectroscopy Techniques
Papers in
-
- Protein Structure and Dynamics 12
- RNA and protein synthesis mechanisms 12
- Machine Learning in Bioinformatics 6
- Genomics and Phylogenetic Studies 4
-
- Advanced Electron Microscopy Techniques and Applications 25
- Co-authors
- Jing He (12 shared papers)Jonas Pfab (3 shared papers)Shuiwang Ji (2 shared papers)Reza Hosseini Ghomi (2 shared papers)Kamal Al Nasr (6 shared papers)David C. Atkins (1 shared paper)Cenk Demiroğlu (1 shared paper)Renzhi Cao (12 shared papers)
- Journals
- Briefings in Bioinformatics (4 papers)Current Gene Therapy (1 paper)Journal of Computational Biology (1 paper)BioMed Research International (1 paper)Nature Microbiology (1 paper)
- Partner nations
- United StatesChinaCyprus
In The Last Decade
Dong Si
61 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 135
- Structural Biology 345
- Surfaces, Coatings and Films 119
- Molecular Biology 559
- Health Informatics 10
- Environmental Engineering 102
Countries citing papers authored by Dong Si
This map shows the geographic impact of Dong Si'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 Dong Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Si more than expected).
Fields of papers citing papers by Dong Si
This network shows the impact of papers produced by Dong Si. 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 Dong Si. The network helps show where Dong Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong Si, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 136 | |
| 2 | 2020 | 125 | |
| 3 | 2021 | 92 | |
| 4 | 2022 | 85 | |
| 5 | 2012 | 72 | |
| 6 | 2020 | 65 | |
| 7 | 2019 | 44 | |
| 8 | 2022 | 42 | |
| 9 | 2016 | 40 | |
| 10 | 2013 | 34 | |
| 11 | 2014 | 32 | |
| 12 | 2022 | 30 | |
| 13 | 2019 | 29 | |
| 14 | 2019 | 24 | |
| 15 | 2021 | 24 | |
| 16 | 2017 | 20 | |
| 17 | 2021 | 19 | |
| 18 | 2023 | 17 | |
| 19 | 2012 | 17 | |
| 20 | 2018 | 17 |
About Dong Si
Dong Si is a scholar working on Molecular Biology, Structural Biology, Materials Chemistry, Surfaces, Coatings and Films and Artificial Intelligence, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Electron Microscopy Techniques and Applications (25 papers), Enzyme Structure and Function (15 papers), Protein Structure and Dynamics (12 papers), RNA and protein synthesis mechanisms (12 papers), Electron and X-Ray Spectroscopy Techniques (10 papers), Machine Learning in Bioinformatics (6 papers), Genomics and Phylogenetic Studies (4 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Structural Biology (345 citations), Surfaces, Coatings and Films (119 citations), Molecular Biology (559 citations), Health Informatics (10 citations) and Environmental Engineering (102 citations). Dong Si has collaborated with scholars based in United States, China and Cyprus. Frequent co-authors include Jing He, Jonas Pfab, Shuiwang Ji, Reza Hosseini Ghomi, Kamal Al Nasr, David C. Atkins, Cenk Demiroğlu, Renzhi Cao, Fengbin Wang and Edward H. Egelman. Their work appears in journals such as Briefings in Bioinformatics, Current Gene Therapy, Journal of Computational Biology, BioMed Research International and Nature Microbiology.
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.