Dong Si

2.0k total citations
63 papers, 1.1k citations indexed

About

Dong Si is a scholar working on Molecular Biology, Structural Biology and Materials Chemistry. According to data from OpenAlex, Dong Si has authored 63 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 25 papers in Structural Biology and 20 papers in Materials Chemistry. Recurrent topics in Dong Si's work include Advanced Electron Microscopy Techniques and Applications (25 papers), Enzyme Structure and Function (16 papers) and Protein Structure and Dynamics (12 papers). Dong Si is often cited by papers focused on Advanced Electron Microscopy Techniques and Applications (25 papers), Enzyme Structure and Function (16 papers) and Protein Structure and Dynamics (12 papers). Dong Si collaborates with scholars based in United States, China and Belgium. Dong Si's co-authors include Jing He, Jonas Pfab, Shuiwang Ji, Reza Hosseini Ghomi, Kamal Al Nasr, Renzhi Cao, David C. Atkins, Cenk Demiroğlu, Fengbin Wang and Edward H. Egelman and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Dong Si

58 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Dong Si	561	336	324	123	96	63	1.1k
Po‐Lin Chiu	381 0.7×	104 0.3×	161 0.5×	64 0.5×	17 0.2×	57	1.2k
Bryant Gipson	294 0.5×	214 0.6×	165 0.5×	86 0.7×	6 0.1×	21	788
Slavica Jonić	391 0.7×	526 1.6×	210 0.6×	341 2.8×	4 0.0×	56	1.1k
Michael Wagner	632 1.1×	36 0.1×	81 0.3×	24 0.2×	17 0.2×	60	1.2k
William D. Graf	390 0.7×	30 0.1×	38 0.1×	15 0.1×	9 0.1×	29	1.2k
T. Frey	258 0.5×	25 0.1×	492 1.5×	27 0.2×	5 0.1×	52	1.6k
David Ackerman	369 0.7×	41 0.1×	32 0.1×	20 0.2×	6 0.1×	13	667
Cédric Messaoudi	160 0.3×	184 0.5×	97 0.3×	130 1.1×	2 0.0×	33	584
Zihao Wang	112 0.2×	36 0.1×	108 0.3×	20 0.2×	11 0.1×	73	748

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-authorship network of co-authors of Dong Si

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Si. A scholar is included among the top collaborators of Dong Si 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 Dong Si. Dong Si is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zhang, Lei, Yang Wang, Xiaohong Chen, et al.. (2025). GOBoost: leveraging long-tail gene ontology terms for accurate protein function prediction. Bioinformatics. 41(6).

Ma, Xin & Dong Si. (2025). Beyond current boundaries: Integrating deep learning and AlphaFold for enhanced protein structure prediction from low-resolution cryo-EM maps. Computational Biology and Chemistry. 119. 108494–108494.

Luo, Albert C. J., et al.. (2024). Enhancing cryo-EM structure prediction with DeepTracer and AlphaFold2 integration. Briefings in Bioinformatics. 25(3). 7 indexed citations

Ahmad, Muhammad Aurangzeb, et al.. (2024). Building Personality-Adaptive Conversational AI for Mental Health Therapy. 1–1.

Zhang, Lei, Sheng Wang, Jie Hou, et al.. (2023). ComplexQA: a deep graph learning approach for protein complex structure assessment. Briefings in Bioinformatics. 24(6). 6 indexed citations

Zhao, Minglei, et al.. (2023). Fast and automated protein-DNA/RNA macromolecular complex modeling from cryo-EM maps. Briefings in Bioinformatics. 24(2). 14 indexed citations

Wang, Xiaoping, et al.. (2023). Network pharmacology- and molecular docking-based investigation of the therapeutic potential and mechanism of daucosterol against multiple myeloma. Translational Cancer Research. 12(4). 1006–1020. 3 indexed citations

Si, Dong, et al.. (2023). Smart de novo Macromolecular Structure Modeling from Cryo-EM Maps. Journal of Molecular Biology. 435(9). 167967–167967. 2 indexed citations

Wang, Fengbin, Chi Ho Chan, Dong Si, et al.. (2022). Structure of Geobacter OmcZ filaments suggests extracellular cytochrome polymers evolved independently multiple times. eLife. 11. 39 indexed citations

10.

Wang, Fengbin, Zhangli Su, Virginija Cvirkaitė‐Krupovič, et al.. (2022). DeepTracer-ID: De novo protein identification from cryo-EM maps. Biophysical Journal. 121(15). 2840–2848. 29 indexed citations

11.

Si, Dong, et al.. (2022). Neural representations of cryo-EM maps and a graph-based interpretation. BMC Bioinformatics. 23(S3). 397–397. 4 indexed citations

12.

Si, Dong, et al.. (2022). Superiorization-inspired unrolled SART algorithm with U-Net generated perturbations for sparse-view and limited-angle CT reconstruction. Physics in Medicine and Biology. 67(24). 245004–245004. 1 indexed citations

13.

Si, Dong, et al.. (2021). Recent Progress of Machine Learning in Gene Therapy. Current Gene Therapy. 22(2). 132–143. 24 indexed citations

14.

Pan, Man, Qingyun Zheng, Tian Wang, et al.. (2021). Structural insights into Ubr1-mediated N-degron polyubiquitination. Nature. 600(7888). 334–338. 86 indexed citations

15.

Pfab, Jonas, et al.. (2020). DeepTracer for fast de novo cryo-EM protein structure modeling and special studies on CoV-related complexes. Proceedings of the National Academy of Sciences. 118(2). 120 indexed citations

16.

Si, Dong, et al.. (2019). AngularQA: Protein Model Quality Assessment with LSTM Networks. SHILAP Revista de lepidopterología. 7(1). 1–9. 29 indexed citations

17.

Ghomi, Reza Hosseini, et al.. (2018). Parkinson’s Disease Classification of mPower Walking Activity Participants. PubMed. 2018. 4253–4256. 8 indexed citations

18.

Hsu, Yi‐Hsin & Dong Si. (2018). Cancer Type Prediction and Classification Based on RNA-sequencing Data. PubMed. 2018. 5374–5377. 17 indexed citations

19.

Si, Dong & Jing He. (2014). Tracing Beta Strands Using StrandTwister from Cryo-EM Density Maps at Medium Resolutions. Structure. 22(11). 1665–1676. 32 indexed citations

20.

Si, Dong, Shuiwang Ji, Kamal Al Nasr, & Jing He. (2012). A Machine Learning Approach for the Identification of Protein Secondary Structure Elements from Electron Cryo‐Microscopy Density Maps. Biopolymers. 97(9). 698–708. 72 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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