Jin‐Tang Cheng

691 total citations
44 papers, 531 citations indexed

About

Jin‐Tang Cheng is a scholar working on Organic Chemistry, Complementary and alternative medicine and Molecular Biology. According to data from OpenAlex, Jin‐Tang Cheng has authored 44 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Organic Chemistry, 16 papers in Complementary and alternative medicine and 14 papers in Molecular Biology. Recurrent topics in Jin‐Tang Cheng's work include Catalytic C–H Functionalization Methods (10 papers), Traditional Chinese Medicine Analysis (9 papers) and Catalytic Cross-Coupling Reactions (7 papers). Jin‐Tang Cheng is often cited by papers focused on Catalytic C–H Functionalization Methods (10 papers), Traditional Chinese Medicine Analysis (9 papers) and Catalytic Cross-Coupling Reactions (7 papers). Jin‐Tang Cheng collaborates with scholars based in China, United States and Singapore. Jin‐Tang Cheng's co-authors include Song Ye, Xiang‐Yu Chen, Fei Xia, Xiangyu Chen, Zhong‐Hua Gao, Sha Chen, An Liu, Zhixiang Wang, Weilin Liao and Qin‐Shi Zhao and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Chemical Communications.

In The Last Decade

Jin‐Tang Cheng

42 papers receiving 527 citations

Peers

Jin‐Tang Cheng
Comparison fields: 5 of 66
  • Organic Chemistry 318
  • Molecular Biology 114
  • Pharmacology 62
  • Plant Science 62
  • Complementary and alternative medicine 54
Replace Xiaogang Tong with:
Xiaogang Tong China
Kangmei Wen China
Ying-Ming Pan China
Keyume Ablajan China
Samreen Saleem Pakistan
Mohammad Ashraf Pakistan
Albertus van Veldhuizen Netherlands
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Li Kong China
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Xiaogang Tong China View profile →
Citations per field, relative to Jin‐Tang Cheng
Jin‐Tang Cheng · 1×
Citations per year, relative to Jin‐Tang Cheng
Jin‐Tang Cheng · 1×

Countries citing papers authored by Jin‐Tang Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Tang Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin‐Tang Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Tang Cheng. A scholar is included among the top collaborators of Jin‐Tang Cheng 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‐Tang Cheng. Jin‐Tang Cheng 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 10
2 5
3 3
4 7
5 0
6 1
7 3
8 34
9 5
10 11
11 11
12 3
13 4
14 1
15 12
16 8
17 23
18 24
19 100
20 14

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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