Yan Gong

110 total papers · 1.2k total citations
73 papers, 835 citations indexed

About

Yan Gong is a scholar working on Biomedical Engineering, Biomaterials and Electrical and Electronic Engineering. According to data from OpenAlex, Yan Gong has authored 73 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biomedical Engineering, 18 papers in Biomaterials and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Yan Gong's work include Nanoparticle-Based Drug Delivery (14 papers), Ultrasound and Hyperthermia Applications (9 papers) and Graphene and Nanomaterials Applications (9 papers). Yan Gong is often cited by papers focused on Nanoparticle-Based Drug Delivery (14 papers), Ultrasound and Hyperthermia Applications (9 papers) and Graphene and Nanomaterials Applications (9 papers). Yan Gong collaborates with scholars based in China, United States and Argentina. Yan Gong's co-authors include Xiang Yuan Xiong, Zi Ling Li, Yu Ping Li, Hong Chen, Yue Luo, Yaoheng Yang, Zhongtao Hu, Yimei Yue, Yu Ping Li and Yuan Tian and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and SHILAP Revista de lepidopterología.

In The Last Decade

Yan Gong

65 papers receiving 826 citations

Author Peers

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

Author Last Decade Papers Cites
Yan Gong 271 260 230 134 105 73 835
Thanh Huyền Trần 308 1.1× 238 0.9× 411 1.8× 101 0.8× 59 0.6× 30 1.1k
Ankur Kaul 161 0.6× 329 1.3× 335 1.5× 218 1.6× 120 1.1× 66 962
Yang Deng 199 0.7× 217 0.8× 391 1.7× 79 0.6× 56 0.5× 28 872
Soraya Shahhosseini 141 0.5× 125 0.5× 429 1.9× 74 0.6× 187 1.8× 69 967
Lei Peng 131 0.5× 202 0.8× 338 1.5× 94 0.7× 35 0.3× 40 900
Yimeng Du 272 1.0× 224 0.9× 330 1.4× 96 0.7× 98 0.9× 44 973
Ergang Liu 255 0.9× 306 1.2× 509 2.2× 133 1.0× 62 0.6× 43 1.0k
A. Yekta Özer 264 1.0× 291 1.1× 243 1.1× 122 0.9× 48 0.5× 47 787
Josep Queralt 258 1.0× 282 1.1× 142 0.6× 173 1.3× 81 0.8× 39 819
Yue Tang 145 0.5× 197 0.8× 360 1.6× 128 1.0× 27 0.3× 60 908

Countries citing papers authored by Yan Gong

Since Specialization
Citations

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

Fields of papers citing papers by Yan Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Gong

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