Dengshuai Wei

34 total papers · 2.0k total citations
28 papers, 1.4k citations indexed

About

Dengshuai Wei is a scholar working on Biomedical Engineering, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Dengshuai Wei has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 12 papers in Molecular Biology and 11 papers in Materials Chemistry. Recurrent topics in Dengshuai Wei's work include Nanoplatforms for cancer theranostics (14 papers), Nanoparticle-Based Drug Delivery (9 papers) and Advanced biosensing and bioanalysis techniques (7 papers). Dengshuai Wei is often cited by papers focused on Nanoplatforms for cancer theranostics (14 papers), Nanoparticle-Based Drug Delivery (9 papers) and Advanced biosensing and bioanalysis techniques (7 papers). Dengshuai Wei collaborates with scholars based in China, United States and Australia. Dengshuai Wei's co-authors include Haihua Xiao, Yong Sun, Yun Huang, Qinrui Fu, Yao Zhao, Yingjie Yu, Johannes Karges, Lili Ma, Bin Wang and Lingpu Zhang and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Dengshuai Wei

28 papers receiving 1.4k citations

Hit Papers

Stimuli-Responsive Polyme... 2022 2026 2023 2024 2023 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Dengshuai Wei 769 553 412 405 176 28 1.4k
Lingling Shan 877 1.1× 557 1.0× 500 1.2× 522 1.3× 120 0.7× 43 1.8k
Huan Min 955 1.2× 497 0.9× 487 1.2× 493 1.2× 204 1.2× 30 1.5k
Mingzhou Ye 855 1.1× 609 1.1× 383 0.9× 422 1.0× 85 0.5× 26 1.5k
Tian Xie 1.0k 1.4× 619 1.1× 590 1.4× 397 1.0× 139 0.8× 29 1.8k
Qingqing Pan 757 1.0× 436 0.8× 509 1.2× 506 1.2× 141 0.8× 47 1.7k
Hong Wu 603 0.8× 603 1.1× 313 0.8× 612 1.5× 173 1.0× 42 1.7k
Prakash Rai 960 1.2× 622 1.1× 405 1.0× 721 1.8× 141 0.8× 30 1.8k
Dinglin Zhang 647 0.8× 623 1.1× 411 1.0× 401 1.0× 79 0.4× 56 1.7k
Rachel A. Kudgus 567 0.7× 469 0.8× 640 1.6× 487 1.2× 348 2.0× 24 1.8k
Kyoung Sub Kim 711 0.9× 390 0.7× 385 0.9× 577 1.4× 168 1.0× 37 1.5k

Countries citing papers authored by Dengshuai Wei

Since Specialization
Citations

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

Fields of papers citing papers by Dengshuai Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dengshuai Wei

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

All Works

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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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