Tienan Jin

5.7k total citations
119 papers, 4.9k citations indexed

About

Tienan Jin is a scholar working on Organic Chemistry, Materials Chemistry and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Tienan Jin has authored 119 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Organic Chemistry, 39 papers in Materials Chemistry and 17 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Tienan Jin's work include Catalytic C–H Functionalization Methods (38 papers), Catalytic Alkyne Reactions (27 papers) and Nanoporous metals and alloys (20 papers). Tienan Jin is often cited by papers focused on Catalytic C–H Functionalization Methods (38 papers), Catalytic Alkyne Reactions (27 papers) and Nanoporous metals and alloys (20 papers). Tienan Jin collaborates with scholars based in Japan, China and United States. Tienan Jin's co-authors include Yoshinori Yamamoto, Shin Kamijo, Naoki Asao, Ming Bao, Jian Zhao, Zhibao Huo, Kazuaki Oniwa, Mei Yan, Nitin T. Patil and Fan Yang and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Tienan Jin

113 papers receiving 4.8k citations

Peers

Tienan Jin
Comparison fields: 5 of 78
  • Organic Chemistry 4.2k
  • Materials Chemistry 1.1k
  • Molecular Biology 598
  • Inorganic Chemistry 527
  • Electrical and Electronic Engineering 401
Replace Xu Cheng with:
Xu Cheng China
Satoshi Minakata Japan
Ruimao Hua China
Jin Xie China
Jesús A. Varela Spain
Esteban P. Urriolabeitia Spain
Matthieu Raynal France
Andrea Correa Italy
Petr Štěpnička Czechia
Xu Cheng China View profile →
Citations per field, relative to Tienan Jin
Tienan Jin · 1×
Citations per year, relative to Tienan Jin
Tienan Jin · 1×

Countries citing papers authored by Tienan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Tienan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tienan Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Tienan Jin. A scholar is included among the top collaborators of Tienan 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 Tienan Jin. Tienan 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 3
4 0
5 0
6
The first evidence of current-injection organic semiconductor laser with field-effect transistor
1
7 36
8 25
9 57
10 57
11 27
12 22
13 148
14 39
15 33
16 39
17 81
18 279
19 52
20 20

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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