Dafa Chen

80 papers receiving 2.0k citations

Peers

Dafa Chen
Comparison fields: 5 of 61
  • Process Chemistry and Technology 314
  • Inorganic Chemistry 875
  • Renewable Energy, Sustainability and the Environment 640
  • Organic Chemistry 1.0k
  • Materials Chemistry 482
Replace David S. Laitar with:
David S. Laitar United States
E. Mas-Marzá Spain
Yuki Suna Japan
Yaorong Wang China
Gregory Leitus Israel
G.W. Nyce United States
David J. Liptrot United Kingdom
Elizabeth A. Bielinski United States
Alberto Ramos Spain
Yusuke Mikami Japan
Dafa Chen relative to David S. Laitar United States David S. Laitar's profile →
Citations per field
00.5×2.8×
David S. Laitar · 1×
Citations per year

Countries citing papers authored by Dafa Chen

Since Specialization
Citations

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

Fields of papers citing papers by Dafa Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dafa Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dafa Chen Line = papers co-authored together Dafa Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020166
2 201898
3 201584
4 201881
5 201077
6 201271
7 200971
8 201170
9 201965
10 201563
11 201859
12 200956
13 201951
14 201946
15 201845
16 201444
17 201244
18 201840
19 201339
20 201135

About Dafa Chen

Dafa Chen is a scholar working on Process Chemistry and Technology, Inorganic Chemistry, Organic Chemistry, Renewable Energy, Sustainability and the Environment and Materials Chemistry, having authored 80 papers that have together received 2.0k indexed citations. Recurring topics across this work include Asymmetric Hydrogenation and Catalysis (23 papers), Organometallic Complex Synthesis and Catalysis (22 papers), Metalloenzymes and iron-sulfur proteins (16 papers), Catalytic C–H Functionalization Methods (15 papers), Organoboron and organosilicon chemistry (12 papers), Hydrogen Storage and Materials (12 papers), Carbon dioxide utilization in catalysis (11 papers) and Catalytic Alkyne Reactions (11 papers). The work is most often cited by research in Process Chemistry and Technology (314 citations), Inorganic Chemistry (875 citations), Renewable Energy, Sustainability and the Environment (640 citations), Organic Chemistry (1.0k citations) and Materials Chemistry (482 citations). Dafa Chen has collaborated with scholars based in China, Switzerland and Germany. Frequent co-authors include Xile Hu, Bowen Hu, Rosario Scopelliti, Haiping Xia, Yuhui Hua, Min Yang, Danfeng Deng, Weiwei Yang, Tao Xu and Jing Shi. Their work appears in journals such as Organometallics, Chinese Journal of Chemistry, Angewandte Chemie International Edition, Dalton Transactions and Chemistry - A European Journal.

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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