Shan Jin

4.8k total citations · 3 hit papers
109 papers, 4.0k citations indexed

About

Shan Jin is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering. According to data from OpenAlex, Shan Jin has authored 109 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Materials Chemistry, 48 papers in Electronic, Optical and Magnetic Materials and 19 papers in Electrical and Electronic Engineering. Recurrent topics in Shan Jin's work include Nanocluster Synthesis and Applications (78 papers), Advanced Nanomaterials in Catalysis (53 papers) and Gold and Silver Nanoparticles Synthesis and Applications (40 papers). Shan Jin is often cited by papers focused on Nanocluster Synthesis and Applications (78 papers), Advanced Nanomaterials in Catalysis (53 papers) and Gold and Silver Nanoparticles Synthesis and Applications (40 papers). Shan Jin collaborates with scholars based in China, United States and Australia. Shan Jin's co-authors include Manzhou Zhu, Shuxin Wang, Xi Kang, Yongbo Song, Yong Pei, Jun Zhang, Wenjun Du, Shuang Chen, Haizhu Yu and Lin Xiong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Shan Jin

102 papers receiving 4.0k citations

Hit Papers

A comprehensive review on the recycling of spent lithium-... 2022 2026 2023 2024 2022 2023 2023 50 100 150 200 250

Peers

Shan Jin
Comparison fields: 5 of 80
  • Materials Chemistry 3.3k
  • Electronic, Optical and Magnetic Materials 1.9k
  • Electrical and Electronic Engineering 600
  • Organic Chemistry 472
  • Mechanical Engineering 360
Replace Xian‐Kai Wan with:
Xian‐Kai Wan China
Ananya Baksi India
Chaofa Xu China
Renxi Jin China
Tiankai Chen Singapore
Prasenjit Maity India
Shubo Tian China
Megalamane S. Bootharaju South Korea
Yuanxin Du China
Hadi Abroshan United States
Xian‐Kai Wan China View profile →
Citations per field, relative to Shan Jin
Shan Jin · 1×
Citations per year, relative to Shan Jin
Shan Jin · 1×

Countries citing papers authored by Shan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Shan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Jin. A scholar is included among the top collaborators of Shan Jin 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 Shan Jin. Shan Jin 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
# Work Indexed citations
1 0
2 0
3 0
4 16
5 2
6 25
7 14
8 22
9 2
10 38
11 32
12 13
13 15
14 24
15 7
16 19
17 46
18 109
19 77
20 64

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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2026