Kun Ge

132 total papers · 4.8k total citations
106 papers, 3.6k citations indexed

About

Kun Ge is a scholar working on Biomedical Engineering, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Kun Ge has authored 106 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Biomedical Engineering, 30 papers in Molecular Biology and 24 papers in Materials Chemistry. Recurrent topics in Kun Ge's work include Nanoplatforms for cancer theranostics (22 papers), Bone Tissue Engineering Materials (13 papers) and Photonic and Optical Devices (11 papers). Kun Ge is often cited by papers focused on Nanoplatforms for cancer theranostics (22 papers), Bone Tissue Engineering Materials (13 papers) and Photonic and Optical Devices (11 papers). Kun Ge collaborates with scholars based in China, United States and Hong Kong. Kun Ge's co-authors include Jinchao Zhang, Huifang Liu, Zhenhua Li, Xing‐Jie Liang, Xinjian Yang, Shizhu Chen, Wei Jia, Dandan Liu, Wentong Sun and Shutao Gao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and ACS Nano.

In The Last Decade

Kun Ge

103 papers receiving 3.6k citations

Hit Papers

Self‐Supply of O2 and H2O... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Kun Ge 1.6k 1.3k 912 631 396 106 3.6k
Yanhong Zhu 1.1k 0.7× 1.4k 1.1× 840 0.9× 651 1.0× 283 0.7× 158 4.2k
Lei Wang 1.1k 0.7× 1.4k 1.1× 808 0.9× 744 1.2× 584 1.5× 97 4.7k
Xiaoli Wu 1.4k 0.9× 1.7k 1.3× 901 1.0× 365 0.6× 599 1.5× 124 4.2k
Dong Liang 1.4k 0.9× 1.6k 1.3× 898 1.0× 859 1.4× 426 1.1× 139 4.4k
Han Kiat Ho 1.3k 0.8× 1.6k 1.3× 788 0.9× 799 1.3× 650 1.6× 104 4.6k
Bo Yu 2.0k 1.3× 2.2k 1.8× 1.2k 1.3× 1.3k 2.0× 405 1.0× 136 6.2k
Wei Gao 1.9k 1.2× 1.1k 0.9× 1.5k 1.7× 625 1.0× 270 0.7× 80 4.2k
Yu Zhao 1.5k 0.9× 2.8k 2.2× 1.1k 1.2× 774 1.2× 433 1.1× 172 6.0k
Xuan Wang 1.2k 0.7× 1.0k 0.8× 1.1k 1.3× 429 0.7× 218 0.6× 153 3.7k
Haijun Chen 1.3k 0.8× 1.8k 1.5× 889 1.0× 607 1.0× 463 1.2× 203 4.8k

Countries citing papers authored by Kun Ge

Since Specialization
Citations

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

Fields of papers citing papers by Kun Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Ge

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