Dong Si

2.0k citations
73 papers · 1.3k · h-index 19

Impact in

Papers in

    • RNA and protein synthesis mechanisms 15
    • Protein Structure and Dynamics 12
    • Machine Learning in Bioinformatics 6
    • Genomics and Phylogenetic Studies 6
    • Advanced Electron Microscopy Techniques and Applications 30

Dong Si

69 papers receiving 1.2k citations

Peers

Dong Si
Comparison fields: 5 of 142
  • Structural Biology 383
  • Surfaces, Coatings and Films 129
  • Molecular Biology 595
  • Health Informatics 12
  • Materials Chemistry 341
Replace Po‐Lin Chiu with:
Po‐Lin Chiu United States
Bryant Gipson United States
Daniel Russel United States
Wei Ouyang China
Michael Wagner Germany
Michael Weber Germany
Slavica Jonić France
T. Frey Germany
William D. Graf United States
Dong Si relative to Po‐Lin Chiu United States Po‐Lin Chiu's profile →
Citations per field
00.5×3.4×
Po‐Lin Chiu · 1×
Citations per year

Countries citing papers authored by Dong Si

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dong Si Line = papers co-authored together Dong Si links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018150
2 2020133
3 202192
4 202287
5 201278
6 202070
7 202244
8 201944
9 201643
10 201338
11 201436
12 201932
13 202231
14 202126
15 201924
16 201722
17 202120
18 201219
19 201918
20 202317

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 73 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Electron Microscopy Techniques and Applications (30 papers), Enzyme Structure and Function (18 papers), RNA and protein synthesis mechanisms (15 papers), Protein Structure and Dynamics (12 papers), Electron and X-Ray Spectroscopy Techniques (10 papers), Machine Learning in Bioinformatics (6 papers), Genomics and Phylogenetic Studies (6 papers) and Remote Sensing and LiDAR Applications (3 papers). The work is most often cited by research in Structural Biology (383 citations), Surfaces, Coatings and Films (129 citations), Molecular Biology (595 citations), Health Informatics (12 citations) and Materials Chemistry (341 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, Renzhi Cao, Cenk Demiroğlu, Fengbin Wang and Edward H. Egelman. Their work appears in journals such as Briefings in Bioinformatics, Bioinformatics, Current Gene Therapy, Sensors and Actuators B Chemical and BioMed Research International.

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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