Wei Si

1.4k total citations
70 papers, 1.2k citations indexed

About

Wei Si is a scholar working on Biomedical Engineering, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Wei Si has authored 70 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Biomedical Engineering, 24 papers in Molecular Biology and 19 papers in Materials Chemistry. Recurrent topics in Wei Si's work include Nanopore and Nanochannel Transport Studies (55 papers), Ion-surface interactions and analysis (15 papers) and Fuel Cells and Related Materials (13 papers). Wei Si is often cited by papers focused on Nanopore and Nanochannel Transport Studies (55 papers), Ion-surface interactions and analysis (15 papers) and Fuel Cells and Related Materials (13 papers). Wei Si collaborates with scholars based in China, United States and Bangladesh. Wei Si's co-authors include Yunfei Chen, Jingjie Sha, Aleksei Aksimentiev, Yin Zhang, Gensheng Wu, Yajing Kan, Bin Du, Qin Wei, Lei Liu and Yi‐Tao Long and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Wei Si

62 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Si China 21 881 334 240 227 225 70 1.2k
Brian A. Grimes Norway 21 504 0.6× 197 0.6× 179 0.7× 160 0.7× 80 0.4× 43 1.0k
Rahul Prasanna Misra United States 16 493 0.6× 113 0.3× 154 0.6× 494 2.2× 20 0.1× 22 932
Cornelius F. Ivory United States 26 1.8k 2.1× 255 0.8× 449 1.9× 76 0.3× 59 0.3× 107 2.1k
Dimo Platikanov Bulgaria 21 340 0.4× 185 0.6× 145 0.6× 570 2.5× 249 1.1× 55 1.5k
Zhongwu Li China 17 638 0.7× 48 0.1× 313 1.3× 244 1.1× 60 0.3× 36 840
Amrit Kalra United States 9 757 0.9× 179 0.5× 132 0.6× 449 2.0× 40 0.2× 11 1.2k
Richard A. Mosher United States 27 1.6k 1.8× 185 0.6× 379 1.6× 74 0.3× 38 0.2× 54 1.9k
Ru‐Jia Yu China 19 806 0.9× 545 1.6× 316 1.3× 204 0.9× 117 0.5× 48 1.3k
Johan Marra Netherlands 17 218 0.2× 592 1.8× 158 0.7× 167 0.7× 74 0.3× 24 1.5k
Liyuan Liang China 15 455 0.5× 269 0.8× 150 0.6× 164 0.7× 111 0.5× 62 663

Countries citing papers authored by Wei Si

Since Specialization
Citations

This map shows the geographic impact of Wei 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 Wei Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Si more than expected).

Fields of papers citing papers by Wei Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei 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 Wei Si. The network helps show where Wei Si may publish in the future.

Co-authorship network of co-authors of Wei Si

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

All Works

20 of 20 papers shown
1.
Ge, Yu, Wei Si, Tao Hu, & Ke Chen. (2025). High-Sensitivity Detection of C-Peptide Biomarker for Diabetes by Solid-State Nanopore Using Machine Learning Identification. The Journal of Physical Chemistry Letters. 16(25). 6355–6363.
2.
Zhang, Zhen, et al.. (2025). Slowing Down Peptide Translocation through MoSi2N4 Nanopores for Protein Sequencing. The Journal of Physical Chemistry B. 129(9). 2471–2481. 2 indexed citations
3.
Si, Wei, et al.. (2025). MoS2/MoSe2 Planar Heterostructure Nanoslits for Protein Sequencing. ACS Applied Nano Materials. 8(16). 8274–8282. 1 indexed citations
4.
He, Junzhou, Ke Chen, & Wei Si. (2025). Velocity control of protein translocation through carbon nanotubes embedded in lipid bilayers. Carbon. 243. 120609–120609. 1 indexed citations
5.
Chen, Dapeng, et al.. (2025). Recent Advances and Emerging Trends in Nanopore‐Based Single‐Molecule Sensing of Proteins. Small Methods. 9(12). e01603–e01603.
6.
Zhang, Zhen, Liwei Wang, & Wei Si. (2024). Electroosmotic Flow-Driven DNA–CNT Nanomotor via Tunable Surface-Charged Nanopore Array. The Journal of Physical Chemistry Letters. 15(44). 10950–10957.
7.
Lv, Hongliang, Wei Si, Jingjie Sha, Yunfei Chen, & Yin Zhang. (2024). Strategies for high performance characterization of nanomaterials using in situ liquid cell transmission electron microscopy. SHILAP Revista de lepidopterología. 7. 100115–100115. 2 indexed citations
8.
Wu, Gensheng, et al.. (2024). Selective Capture and Manipulation of DNA through Double Charged Nanopores. The Journal of Physical Chemistry Letters. 15(19). 5120–5129. 5 indexed citations
9.
Si, Wei, Liwei Wang, Gensheng Wu, et al.. (2023). Nanopore actuation of a DNA-tracked nanovehicle. Nanoscale. 15(35). 14659–14668. 2 indexed citations
10.
Wu, Gensheng, et al.. (2023). Unfolding of protein using MoS2/SnS2 heterostructure for nanopore-based sequencing. Nanotechnology. 35(13). 135501–135501. 3 indexed citations
11.
Xu, Wei, et al.. (2023). Precise control of CNT-DNA assembled nanomotor using oppositely charged dual nanopores. Nanoscale. 15(26). 11052–11063. 2 indexed citations
12.
Si, Wei, et al.. (2023). A controllable nanoscale telescopic arm designed by encoding the nested multi-walled carbon nanotubes. Physical Chemistry Chemical Physics. 25(16). 11805–11815. 2 indexed citations
13.
Si, Wei, Gensheng Wu, Yajing Kan, et al.. (2022). Navigated Delivery of Peptide to the Nanopore Using In-Plane Heterostructures of MoS2 and SnS2 for Protein Sequencing. The Journal of Physical Chemistry Letters. 13(17). 3863–3872. 16 indexed citations
14.
Si, Wei, Haojie Yang, Gensheng Wu, Yin Zhang, & Jingjie Sha. (2021). Velocity control of protein translocation through a nanopore by tuning the fraction of benzenoid residues. Nanoscale. 13(36). 15352–15361. 15 indexed citations
15.
Si, Wei, Qianyi Sun, Chang Chen, et al.. (2020). Detergent‐Assisted Braking of Peptide Translocation through a Single‐Layer Molybdenum Disulfide Nanopore. Small Methods. 4(11). 19 indexed citations
16.
Si, Wei, Jingjie Sha, Qianyi Sun, et al.. (2019). Shape characterization and discrimination of single nanoparticles using solid-state nanopores. The Analyst. 145(5). 1657–1666. 14 indexed citations
17.
Si, Wei, Yin Zhang, Gensheng Wu, et al.. (2019). Discrimination of Protein Amino Acid or Its Protonated State at Single‐Residue Resolution by Graphene Nanopores. Small. 15(14). e1900036–e1900036. 39 indexed citations
18.
Si, Wei, Yin Zhang, Jingjie Sha, & Yunfei Chen. (2018). Controllable and reversible DNA translocation through a single-layer molybdenum disulfide nanopore. Nanoscale. 10(41). 19450–19458. 40 indexed citations
19.
Yang, Haojie, Zhongwu Li, Wei Si, et al.. (2018). Identification of Single Nucleotides by a Tiny Charged Solid-State Nanopore. The Journal of Physical Chemistry B. 122(32). 7929–7935. 18 indexed citations
20.
Wolfe, Aaron J., Wei Si, Zhengqi Zhang, et al.. (2017). Quantification of Membrane Protein-Detergent Complex Interactions. The Journal of Physical Chemistry B. 121(44). 10228–10241. 22 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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