Xin‐Ting Liang

492 total citations
16 papers, 381 citations indexed

About

Xin‐Ting Liang is a scholar working on Organic Chemistry, Biochemistry and Molecular Biology. According to data from OpenAlex, Xin‐Ting Liang has authored 16 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Organic Chemistry, 6 papers in Biochemistry and 4 papers in Molecular Biology. Recurrent topics in Xin‐Ting Liang's work include Traditional and Medicinal Uses of Annonaceae (6 papers), Synthetic Organic Chemistry Methods (5 papers) and Asymmetric Synthesis and Catalysis (4 papers). Xin‐Ting Liang is often cited by papers focused on Traditional and Medicinal Uses of Annonaceae (6 papers), Synthetic Organic Chemistry Methods (5 papers) and Asymmetric Synthesis and Catalysis (4 papers). Xin‐Ting Liang collaborates with scholars based in China, United States and United Kingdom. Xin‐Ting Liang's co-authors include Zhen Yang, Jiahua Chen, Yuanhe Li, Guilong Li, Yuwei He, Lin You, Zhongmin Li, Jon C. Antilla, Qi Su and Yuefan Wang and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Materials Chemistry A and The Journal of Organic Chemistry.

In The Last Decade

Xin‐Ting Liang

15 papers receiving 372 citations

Peers

Xin‐Ting Liang
Comparison fields: 5 of 68
  • Organic Chemistry 251
  • Molecular Biology 108
  • Biochemistry 63
  • Biotechnology 37
  • Materials Chemistry 36
Replace Stanley Chang with:
Stanley Chang Canada
Subham Mahapatra United States
Michael J. Di Maso United States
Thomas P. Tully United States
Mohammad Saifuddin India
Bradford Sullivan United States
Akihiro Ogura Japan
Stephen M. Dean United States
Elina Siirola Austria
Dmitry B. Ushakov Germany
Stanley Chang Canada View profile →
Citations per field, relative to Xin‐Ting Liang
Xin‐Ting Liang · 1×
Citations per year, relative to Xin‐Ting Liang
Xin‐Ting Liang · 1×

Countries citing papers authored by Xin‐Ting Liang

Since Specialization
Citations

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

Fields of papers citing papers by Xin‐Ting Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin‐Ting Liang. 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 Xin‐Ting Liang. The network helps show where Xin‐Ting Liang may publish in the future.

Co-authorship network of co-authors of Xin‐Ting Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Xin‐Ting Liang. A scholar is included among the top collaborators of Xin‐Ting Liang 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 Xin‐Ting Liang. Xin‐Ting Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 0
2 1
3 2
4 4
5 10
6 17
7 21
8 6
9 5
10 5
11 42
12 46
13 15
14 18
15 104
16 85

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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