Guangxiu Dai

917 total citations
22 papers, 737 citations indexed

About

Guangxiu Dai is a scholar working on Organic Chemistry, Molecular Biology and Immunology. According to data from OpenAlex, Guangxiu Dai has authored 22 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Organic Chemistry, 6 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Guangxiu Dai's work include Catalytic C–H Functionalization Methods (5 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Catalytic Cross-Coupling Reactions (3 papers). Guangxiu Dai is often cited by papers focused on Catalytic C–H Functionalization Methods (5 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Catalytic Cross-Coupling Reactions (3 papers). Guangxiu Dai collaborates with scholars based in China and United States. Guangxiu Dai's co-authors include Richard C. Larock, Marino A. Campo, Qinhua Huang, Alessia Fazio, Weiguo Su, Weiguo Qing, Yi Gu, Yongxin Ren, Feng Zhou and Yumin Cui and has published in prestigious journals such as Journal of the American Chemical Society, Blood and Cancer Research.

In The Last Decade

Guangxiu Dai

22 papers receiving 732 citations

Peers

Guangxiu Dai
Comparison fields: 5 of 51
  • Organic Chemistry 603
  • Molecular Biology 126
  • Cancer Research 58
  • Hepatology 49
  • Inorganic Chemistry 49
Replace Isao Arai with:
Isao Arai Japan
Rajeev S. Bhide United States
Shiming Fan China
D. Sreenu India
Sung Yun Cho South Korea
Craig I. Turner Australia
Sandra Handschuh Germany
Chao Yao China
Zhen‐Wei Cai United States
Yasunori Hase Japan
Isao Arai Japan View profile →
Citations per field, relative to Guangxiu Dai
Guangxiu Dai · 1×
Citations per year, relative to Guangxiu Dai
Guangxiu Dai · 1×

Countries citing papers authored by Guangxiu Dai

Since Specialization
Citations

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

Fields of papers citing papers by Guangxiu Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangxiu Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Guangxiu Dai. A scholar is included among the top collaborators of Guangxiu Dai 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 Guangxiu Dai. Guangxiu Dai 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 2
2 1
3 1
4 4
5 1
6 4
7 1
8 1
9 111
10 4
11 4
12
Experimental Study on Toxicity and Efficacy of Genkwa Flos stir-baked with Vinegar
3
13 6
14 221
15 117
16 97
17 94
18 48
19 7
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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