Kexin Bian

19 total papers · 622 total citations
19 papers, 539 citations indexed

About

Kexin Bian is a scholar working on Biomedical Engineering, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Kexin Bian has authored 19 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 6 papers in Molecular Biology and 6 papers in Materials Chemistry. Recurrent topics in Kexin Bian's work include Nanoplatforms for cancer theranostics (14 papers), Nanoparticle-Based Drug Delivery (5 papers) and Gold and Silver Nanoparticles Synthesis and Applications (5 papers). Kexin Bian is often cited by papers focused on Nanoplatforms for cancer theranostics (14 papers), Nanoparticle-Based Drug Delivery (5 papers) and Gold and Silver Nanoparticles Synthesis and Applications (5 papers). Kexin Bian collaborates with scholars based in China, Sweden and Switzerland. Kexin Bian's co-authors include Bingbo Zhang, Dengbin Wang, Defan Yao, Weitao Yang, Yanshu Wang, Rongfeng Zou, Pei Liu, Xuwu Zhang, Shuzhan Shen and Kai Liu and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Kexin Bian

18 papers receiving 535 citations

Author Peers

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

Author Last Decade Papers Cites
Kexin Bian 399 281 145 112 83 19 539
Sisi Ling 356 0.9× 290 1.0× 150 1.0× 79 0.7× 62 0.7× 24 556
Fapu Wu 386 1.0× 288 1.0× 176 1.2× 83 0.7× 84 1.0× 21 600
Renlu Han 385 1.0× 341 1.2× 88 0.6× 122 1.1× 81 1.0× 34 569
Junlie Yao 400 1.0× 259 0.9× 171 1.2× 123 1.1× 41 0.5× 27 567
Youqun Lai 225 0.6× 190 0.7× 183 1.3× 107 1.0× 63 0.8× 18 533
Yuanzhe Lin 381 1.0× 311 1.1× 103 0.7× 226 2.0× 44 0.5× 10 572
Yijian Gao 384 1.0× 309 1.1× 118 0.8× 57 0.5× 84 1.0× 35 593
Siew Hui Voon 341 0.9× 284 1.0× 81 0.6× 117 1.0× 164 2.0× 10 490
Qiulian Mao 392 1.0× 196 0.7× 189 1.3× 108 1.0× 76 0.9× 17 542
Gang Wang 353 0.9× 186 0.7× 79 0.5× 130 1.2× 118 1.4× 15 567

Countries citing papers authored by Kexin Bian

Since Specialization
Citations

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

Fields of papers citing papers by Kexin Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kexin Bian

This figure shows the co-authorship network connecting the top 25 collaborators of Kexin Bian. A scholar is included among the top collaborators of Kexin Bian 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 Kexin Bian. Kexin Bian 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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