Kai‐Kai Wang

1.6k total citations
96 papers, 1.3k citations indexed

About

Kai‐Kai Wang is a scholar working on Organic Chemistry, Molecular Biology and Cancer Research. According to data from OpenAlex, Kai‐Kai Wang has authored 96 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Organic Chemistry, 11 papers in Molecular Biology and 6 papers in Cancer Research. Recurrent topics in Kai‐Kai Wang's work include Catalytic C–H Functionalization Methods (41 papers), Synthesis and Catalytic Reactions (26 papers) and Cyclopropane Reaction Mechanisms (18 papers). Kai‐Kai Wang is often cited by papers focused on Catalytic C–H Functionalization Methods (41 papers), Synthesis and Catalytic Reactions (26 papers) and Cyclopropane Reaction Mechanisms (18 papers). Kai‐Kai Wang collaborates with scholars based in China, United States and Australia. Kai‐Kai Wang's co-authors include Zhan‐Yong Wang, Rongxiang Chen, David J. Bryan, Wei Du, Ying‐Chun Chen, Yuxiang Jia, Meng Wang, Qin Ouyang, Ian C. Summerhayes and Xin Huang and has published in prestigious journals such as Angewandte Chemie International Edition, Chemical Communications and Journal of Colloid and Interface Science.

In The Last Decade

Kai‐Kai Wang

86 papers receiving 1.3k citations

Peers

Kai‐Kai Wang
Comparison fields: 5 of 93
  • Organic Chemistry 754
  • Biomedical Engineering 172
  • Cellular and Molecular Neuroscience 168
  • Molecular Biology 146
  • Water Science and Technology 122
Replace Eudes Lorençon with:
Eudes Lorençon Brazil
Yingying Cai China
Baoxin Wang China
Jingling Zhu Singapore
S. Lora Italy
Chan Zhou China
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Zhenyu Yuan China
Jingwen Zeng China
Thien S. Nguyen United States
Eudes Lorençon Brazil View profile →
Citations per field, relative to Kai‐Kai Wang
Kai‐Kai Wang · 1×
Citations per year, relative to Kai‐Kai Wang
Kai‐Kai Wang · 1×

Countries citing papers authored by Kai‐Kai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Kai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai‐Kai Wang. 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 Kai‐Kai Wang. The network helps show where Kai‐Kai Wang may publish in the future.

Co-authorship network of co-authors of Kai‐Kai Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Kai‐Kai Wang. A scholar is included among the top collaborators of Kai‐Kai Wang 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 Kai‐Kai Wang. Kai‐Kai Wang 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 1
7 1
8 1
9 0
10 4
11 5
12 1
13 6
14 7
15 2
16 42
17 54
18 15
19 13
20 3

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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