Nan Shao

75 total papers · 2.4k total citations
57 papers, 2.0k citations indexed

About

Nan Shao is a scholar working on Materials Chemistry, Mechanics of Materials and Organic Chemistry. According to data from OpenAlex, Nan Shao has authored 57 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Materials Chemistry, 11 papers in Mechanics of Materials and 9 papers in Organic Chemistry. Recurrent topics in Nan Shao's work include Nanocluster Synthesis and Applications (11 papers), Boron and Carbon Nanomaterials Research (11 papers) and Diamond and Carbon-based Materials Research (9 papers). Nan Shao is often cited by papers focused on Nanocluster Synthesis and Applications (11 papers), Boron and Carbon Nanomaterials Research (11 papers) and Diamond and Carbon-based Materials Research (9 papers). Nan Shao collaborates with scholars based in China, United States and France. Nan Shao's co-authors include Xiao Cheng Zeng, Yi Gao, Yong Pei, De‐en Jiang, Xiao‐Guang Sun, Sheng Dai, Geyang Li, Zhongfang Chen, Fanghua Mei and Satya Bulusu and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Nano Letters.

In The Last Decade

Nan Shao

56 papers receiving 2.0k citations

Author Peers

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

Author Last Decade Papers Cites
Nan Shao 1.4k 372 371 364 210 57 2.0k
Xiao Dong 1.8k 1.3× 202 0.5× 306 0.8× 241 0.7× 224 1.1× 95 2.4k
P. Dhamelincourt 1.3k 1.0× 526 1.4× 591 1.6× 162 0.4× 325 1.5× 71 3.1k
F. Miserque 1.8k 1.3× 310 0.8× 331 0.9× 292 0.8× 137 0.7× 102 2.8k
Beat Meyer 688 0.5× 141 0.4× 455 1.2× 338 0.9× 92 0.4× 61 2.1k
Na Yu 1.5k 1.1× 451 1.2× 689 1.9× 635 1.7× 59 0.3× 113 2.8k
Elena Akhmatskaya 1.4k 1.0× 511 1.4× 702 1.9× 131 0.4× 125 0.6× 66 2.7k
Leslie G. Butler 623 0.5× 169 0.5× 162 0.4× 277 0.8× 68 0.3× 111 1.9k
Peter Moeck 1.9k 1.4× 440 1.2× 554 1.5× 83 0.2× 185 0.9× 94 3.2k
Dale L. Perry 961 0.7× 222 0.6× 374 1.0× 217 0.6× 372 1.8× 119 2.3k
Krešimir Furić 1.4k 1.0× 389 1.0× 541 1.5× 245 0.7× 108 0.5× 116 2.6k

Countries citing papers authored by Nan Shao

Since Specialization
Citations

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

Fields of papers citing papers by Nan Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Shao

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