Jun Shao

39 total papers · 891 total citations
33 papers, 806 citations indexed

About

Jun Shao is a scholar working on Biomaterials, Process Chemistry and Technology and Polymers and Plastics. According to data from OpenAlex, Jun Shao has authored 33 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Biomaterials, 17 papers in Process Chemistry and Technology and 16 papers in Polymers and Plastics. Recurrent topics in Jun Shao's work include biodegradable polymer synthesis and properties (31 papers), Carbon dioxide utilization in catalysis (17 papers) and Polymer crystallization and properties (15 papers). Jun Shao is often cited by papers focused on biodegradable polymer synthesis and properties (31 papers), Carbon dioxide utilization in catalysis (17 papers) and Polymer crystallization and properties (15 papers). Jun Shao collaborates with scholars based in China. Jun Shao's co-authors include Xuesi Chen, Jingru Sun, Gao Li, Xinchao Bian, Sheng Xiang, Yi Cui, Haoqing Hou, Dongdong Zhou, Yunchun Zhou and Gao Li and has published in prestigious journals such as The Journal of Physical Chemistry B, Macromolecules and Polymer.

In The Last Decade

Jun Shao

33 papers receiving 797 citations

Author Peers

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

Author						Papers	Cites
Jun Shao	723	371	353	185	135	33	806
Katsuhiko Nakajima	712 1.0×	412 1.1×	247 0.7×	176 1.0×	155 1.1×	20	964
Lili Han	886 1.2×	376 1.0×	455 1.3×	161 0.9×	157 1.2×	20	966
Jianna Bao	823 1.1×	427 1.2×	352 1.0×	153 0.8×	162 1.2×	34	968
Yugang Zhuang	680 0.9×	565 1.5×	239 0.7×	143 0.8×	103 0.8×	23	847
Sicco de Vos	535 0.7×	390 1.1×	179 0.5×	95 0.5×	172 1.3×	23	755
Lianlai Zhang	722 1.0×	327 0.9×	224 0.6×	189 1.0×	116 0.9×	17	808
Daisuke Sawai	590 0.8×	474 1.3×	169 0.5×	126 0.7×	259 1.9×	27	932
Jorge Fernández	735 1.0×	231 0.6×	207 0.6×	77 0.4×	300 2.2×	38	913
Makoto Hanesaka	490 0.7×	412 1.1×	133 0.4×	89 0.5×	89 0.7×	22	715
Cédric Samuel	527 0.7×	452 1.2×	153 0.4×	110 0.6×	297 2.2×	37	880

Countries citing papers authored by Jun Shao

Since Specialization

Citations

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

Fields of papers citing papers by Jun Shao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Shao

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