Jun Shao

895 total citations
33 papers, 815 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 815 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 Jingru Sun, Xuesi Chen, 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 805 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Shao China 15 731 376 356 186 135 33 815
Jianna Bao China 17 832 1.1× 436 1.2× 355 1.0× 156 0.8× 164 1.2× 35 984
N. López‐Rodríguez Spain 9 743 1.0× 354 0.9× 194 0.5× 150 0.8× 204 1.5× 9 832
Yugang Zhuang China 16 680 0.9× 565 1.5× 239 0.7× 143 0.8× 103 0.8× 23 847
Jun Wuk Park South Korea 11 692 0.9× 343 0.9× 188 0.5× 174 0.9× 103 0.8× 11 746
Lianlai Zhang China 14 723 1.0× 328 0.9× 224 0.6× 189 1.0× 116 0.9× 17 809
Tadakazu Miyata Japan 6 839 1.1× 569 1.5× 181 0.5× 199 1.1× 162 1.2× 11 925
Giulia Guidotti Italy 19 754 1.0× 292 0.8× 216 0.6× 106 0.6× 415 3.1× 38 882
Shinsuke Tsubakihara Japan 12 914 1.3× 676 1.8× 188 0.5× 220 1.2× 186 1.4× 19 1.1k
Sukhendu Hait United States 10 442 0.6× 238 0.6× 154 0.4× 91 0.5× 100 0.7× 13 606

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

20 of 20 papers shown
1.
Li, Shuangcheng, Weijia Zhou, Wenjie Wu, et al.. (2024). The Crystallization Behavior of L-Poly(lactic acid)/Polypropylene Blends: The Acceleration for Both L-Poly(lactic acid) and Polypropylene. Chinese Journal of Polymer Science. 42(6). 775–786. 2 indexed citations
2.
Li, Shuangcheng, Dongdong Zhou, Jun Shao, et al.. (2023). The Crystallization Behavior of Poly(D-Lactic Acid)/Poly(L-Lactic Acid) Asymmetric Blends: Effect of Morphology of Stereocomplex Crystals on the Formation of Homochiral Crystals. Journal of Polymers and the Environment. 32(2). 536–547. 6 indexed citations
3.
Tang, Juan, et al.. (2022). A Facile Strategy to Enhance the Formation of Stereocomplex Crystallites in Poly(L-lactic acid)/Poly(D-lactic acid) Blend with High Molecular Weights. Chinese Journal of Polymer Science. 41(7). 1115–1122. 4 indexed citations
4.
Shao, Jun, Juan Tang, Shouzhi Pu, & Haoqing Hou. (2021). Crystallization Behavior of Homochiral Polymer in Poly(L-lactic acid)/Poly(D-lactic acid) Asymmetric Blends: Effect of Melting States. Polymer Science Series A. 63(3). 267–274. 1 indexed citations
5.
Shao, Jun, et al.. (2020). The Crystallization Behavior of Poly(l-lactic acid)/Poly(d-lactic acid) Electrospun Fibers: Effect of Distance of Isomeric Polymers. Industrial & Engineering Chemistry Research. 59(17). 8480–8491. 19 indexed citations
6.
7.
Shao, Jun, et al.. (2020). The crystallization behavior of poly(l-lactide)/poly(d-lactide) blends: effect of stirring time during solution mixing. Polymer Bulletin. 78(1). 147–163. 8 indexed citations
8.
Shao, Jun, et al.. (2019). The Crystallization and Melting Behaviors of PDLA-b-PBS-b-PDLA Triblock Copolymers. Chinese Journal of Polymer Science. 38(3). 298–310. 12 indexed citations
9.
Li, Zhaolei, Meng Zhang, Xinxin Ye, et al.. (2018). Hydrogen bonding assists stereocomplexation in poly(l‐lactic acid)/poly(d‐lactic acid) racemic blends. Journal of Polymer Science Part B Polymer Physics. 57(2). 83–88. 13 indexed citations
10.
11.
Shao, Jun, Xinxin Ye, Peng Sun, et al.. (2018). The difference of equilibrium melting point between poly(l‐lactic acid) and poly(l‐lactic acid)/poly(d‐lactic acid) blends: cases with three molecular weights. Polymer International. 68(2). 271–276. 7 indexed citations
12.
Zhou, Dongdong, Jun Shao, Jingru Sun, et al.. (2017). Effect of the different architectures and molecular weights on stereocomplex in enantiomeric polylactides-b-MPEG block copolymers. Polymer. 123. 49–54. 15 indexed citations
13.
Zhou, Weihua, Lin Zhang, Yuanpeng Xie, et al.. (2017). Improved Glass Transition Temperature towards Thermal Stability via Thiols Solvent Additive versus DIO in Polymer Solar Cells. Macromolecular Rapid Communications. 38(20). 36 indexed citations
14.
Zhou, Dongdong, Jun Shao, Gao Li, et al.. (2015). Crystallization behavior of PEG/PLLA block copolymers: Effect of the different architectures and molecular weights. Polymer. 62. 70–76. 41 indexed citations
15.
Shao, Jun, Sheng Xiang, Dongdong Zhou, et al.. (2015). The morphology and spherulite growth of PLA stereocomplex in linear and branched PLLA/PDLA blends: effects of molecular weight and structure. CrystEngComm. 18(2). 274–282. 32 indexed citations
16.
Liu, Yanlong, Jun Shao, Jingru Sun, et al.. (2015). Toughening effect of poly(d-lactide)-b-poly(butylene succinate)-b-poly(d-lactide) copolymers on poly(l-lactic acid) by solution casting method. Materials Letters. 155. 94–96. 11 indexed citations
17.
Shao, Jun, Sheng Xiang, Xinchao Bian, et al.. (2015). Remarkable Melting Behavior of PLA Stereocomplex in Linear PLLA/PDLA Blends. Industrial & Engineering Chemistry Research. 54(7). 2246–2253. 98 indexed citations
18.
Liu, Yanlong, Jun Shao, Jingru Sun, et al.. (2014). Improved mechanical and thermal properties of PLLA by solvent blending with PDLA-b-PEG-b-PDLA. Polymer Degradation and Stability. 101. 10–17. 60 indexed citations
19.
Shao, Jun, Jingyi Zhao, Zhao Yao-ming, Yurong Yan, & Zhiming Qiu. (2012). A facile way to synthesize polylactide grafted starch: anionic swollen polymerization. Polymer Bulletin. 70(1). 59–70. 8 indexed citations
20.
Shao, Jun, Jingru Sun, Xinchao Bian, et al.. (2012). Investigation of Poly(lactide) Stereocomplexes: 3-Armed Poly(l-lactide) Blended with Linear and 3-Armed Enantiomers. The Journal of Physical Chemistry B. 116(33). 9983–9991. 111 indexed citations

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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