Jin‐Shun Lin

2.2k total citations
36 papers, 2.0k citations indexed

About

Jin‐Shun Lin is a scholar working on Organic Chemistry, Pharmaceutical Science and Molecular Biology. According to data from OpenAlex, Jin‐Shun Lin has authored 36 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Organic Chemistry, 13 papers in Pharmaceutical Science and 6 papers in Molecular Biology. Recurrent topics in Jin‐Shun Lin's work include Catalytic C–H Functionalization Methods (20 papers), Fluorine in Organic Chemistry (13 papers) and Radical Photochemical Reactions (11 papers). Jin‐Shun Lin is often cited by papers focused on Catalytic C–H Functionalization Methods (20 papers), Fluorine in Organic Chemistry (13 papers) and Radical Photochemical Reactions (11 papers). Jin‐Shun Lin collaborates with scholars based in China, United States and Singapore. Jin‐Shun Lin's co-authors include Xin‐Yuan Liu, Bin Tan, Xiaoyang Dong, Qiang‐Shuai Gu, Peng Yu, Lin Huang, Taotao Li, Li‐Jiao Zhao, Ya‐Ping Xiong and Yuyang Jiang 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

Jin‐Shun Lin

35 papers receiving 1.9k citations

Peers

Jin‐Shun Lin
Comparison fields: 5 of 86
  • Organic Chemistry 1.4k
  • Pharmaceutical Science 630
  • Inorganic Chemistry 382
  • Molecular Biology 310
  • Plant Science 83
Jean‐Charles Quirion France
Sujata Roy India
Darunee Soorukram Thailand
Zhong‐Hua Gao China
Bin Cheng China
Hanfeng Ding China
Thomas Magauer Austria
Jian Yu Japan
Minoru Ishikura Japan
Tomomi Kawasaki Japan
Jean‐Charles Quirion France View profile →
Citations per field, relative to Jin‐Shun Lin
Jin‐Shun Lin · 1×
Citations per year, relative to Jin‐Shun Lin
Jin‐Shun Lin · 1×

Countries citing papers authored by Jin‐Shun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Shun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin‐Shun Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Shun Lin. A scholar is included among the top collaborators of Jin‐Shun Lin 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 Jin‐Shun Lin. Jin‐Shun Lin 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 1
3 33
4 2
5 18
6 2
7 48
8 47
9 8
10 25
11 12
12 14
13 140
14 64
15 18
16 166
17 45
18 98
19 1
20 215

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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