Mingcheng Panmai

34 total papers · 431 total citations
31 papers, 330 citations indexed

About

Mingcheng Panmai is a scholar working on Biomedical Engineering, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Mingcheng Panmai has authored 31 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 15 papers in Atomic and Molecular Physics, and Optics and 13 papers in Materials Chemistry. Recurrent topics in Mingcheng Panmai's work include Plasmonic and Surface Plasmon Research (16 papers), Nonlinear Optical Materials Studies (6 papers) and Gold and Silver Nanoparticles Synthesis and Applications (5 papers). Mingcheng Panmai is often cited by papers focused on Plasmonic and Surface Plasmon Research (16 papers), Nonlinear Optical Materials Studies (6 papers) and Gold and Silver Nanoparticles Synthesis and Applications (5 papers). Mingcheng Panmai collaborates with scholars based in China, Singapore and United States. Mingcheng Panmai's co-authors include Sheng Lan, Shulei Li, Jin Xiang, Lidan Zhou, Hongfeng Liu, Shaolong Tie, Qiaofeng Dai, Fu Deng, Yi Xu and Haiying Liu and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Mingcheng Panmai

30 papers receiving 315 citations

Author Peers

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

Author Last Decade Papers Cites
Mingcheng Panmai 212 168 161 109 74 31 330
Tatsuki Hinamoto 231 1.1× 198 1.2× 137 0.9× 84 0.8× 111 1.5× 21 355
Christian Frydendahl 156 0.7× 171 1.0× 111 0.7× 185 1.7× 83 1.1× 25 349
Ebrahim Forati 153 0.7× 189 1.1× 132 0.8× 122 1.1× 43 0.6× 29 333
Andrea Tognazzi 172 0.8× 177 1.1× 156 1.0× 129 1.2× 31 0.4× 31 317
Mengjia Cen 109 0.5× 184 1.1× 96 0.6× 94 0.9× 92 1.2× 27 313
Si Luo 169 0.8× 174 1.0× 114 0.7× 111 1.0× 33 0.4× 24 358
Jing Yang 251 1.2× 217 1.3× 141 0.9× 126 1.2× 51 0.7× 25 366
Joshua A. Burrow 235 1.1× 239 1.4× 108 0.7× 175 1.6× 62 0.8× 24 351
Guoce Yang 207 1.0× 164 1.0× 132 0.8× 112 1.0× 34 0.5× 17 308
Stéphan Suffit 94 0.4× 77 0.5× 183 1.1× 165 1.5× 87 1.2× 28 318

Countries citing papers authored by Mingcheng Panmai

Since Specialization
Citations

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

Fields of papers citing papers by Mingcheng Panmai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingcheng Panmai

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