Xin‐Wei Shi

562 total citations
30 papers, 446 citations indexed

About

Xin‐Wei Shi is a scholar working on Molecular Biology, Organic Chemistry and Pharmacology. According to data from OpenAlex, Xin‐Wei Shi has authored 30 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Organic Chemistry and 5 papers in Pharmacology. Recurrent topics in Xin‐Wei Shi's work include Natural product bioactivities and synthesis (5 papers), Phytochemistry and Biological Activities (4 papers) and Microbial Natural Products and Biosynthesis (3 papers). Xin‐Wei Shi is often cited by papers focused on Natural product bioactivities and synthesis (5 papers), Phytochemistry and Biological Activities (4 papers) and Microbial Natural Products and Biosynthesis (3 papers). Xin‐Wei Shi collaborates with scholars based in China, Italy and Singapore. Xin‐Wei Shi's co-authors include Jin‐Ming Gao, Anling Zhang, Li Liu, Qıang Zhang, Jian Xiao, Yu-Qi Gao, Jiang‐Jiang Tang, Gennaro Pescitelli, Qiangqiang Lu and Guo‐Qiang Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Medicinal Chemistry and Colloids and Surfaces B Biointerfaces.

In The Last Decade

Xin‐Wei Shi

29 papers receiving 438 citations

Peers

Xin‐Wei Shi
Comparison fields: 5 of 70
  • Molecular Biology 169
  • Pharmacology 153
  • Organic Chemistry 86
  • Plant Science 74
  • Electronic, Optical and Magnetic Materials 55
Replace Gabriela Maciejewska with:
Gabriela Maciejewska Poland
Nobuhiro Marubayashi Japan
Safdar Hayat Pakistan
Nuttavut Kosem Japan
Khursheed Ahmad India
J. Siva Prasad India
María Inés Nicolás‐Vázquez Mexico
Marcus Hans Germany
V. K. AHLUWALIA India
Anna M. Lithgow Spain
Gabriela Maciejewska Poland View profile →
Citations per field, relative to Xin‐Wei Shi
Xin‐Wei Shi · 1×
Citations per year, relative to Xin‐Wei Shi
Xin‐Wei Shi · 1×

Countries citing papers authored by Xin‐Wei Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xin‐Wei Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin‐Wei Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xin‐Wei Shi. A scholar is included among the top collaborators of Xin‐Wei Shi 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‐Wei Shi. Xin‐Wei Shi 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 4
2 2
3 8
4 11
5 16
6 25
7 2
8 13
9 9
10 2
11 1
12 1
13 1
14 1
15 59
16 36
17 21
18 65
19 17
20 2

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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