Dan Guo

853 citations
22 papers · 712 · h-index 12

Impact in

Papers in

    • Pickering emulsions and particle stabilization 6
    • Catalytic Processes in Materials Science 3
    • 2D Materials and Applications 2
    • Quantum Dots Synthesis And Properties 2
    • Nanomaterials and Printing Technologies 7
    • Perovskite Materials and Applications 3

Dan Guo

22 papers receiving 703 citations

Peers

Dan Guo
Comparison fields: 5 of 65
  • Catalysis 147
  • Water Science and Technology 111
  • Materials Chemistry 357
  • Electronic, Optical and Magnetic Materials 114
  • Biomedical Engineering 151
Replace Won June Kim with:
Won June Kim South Korea
Fang Hou China
WooSeok Jeong South Korea
M.S. Azami Malaysia
Manal Ammar Lebanon
N.O. Lemcoff Argentina
Ji Young Park South Korea
Hakan Demir Türkiye
Seulchan Lee South Korea
Dai Tang United States
Dan Guo relative to Won June Kim South Korea Won June Kim's profile →
Citations per field
00.5×5.1×
Won June Kim · 1×
Citations per year

Countries citing papers authored by Dan Guo

Since Specialization
Citations

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

Fields of papers citing papers by Dan Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan Guo, 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 Dan Guo Line = papers co-authored together Dan Guo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013164
2 202178
3 201477
4 202071
5 201649
6 202143
7 202142
8 202040
9 201739
10 201732
11 201823
12 201811
13 202110
14 20187
15 20176
16 20236
17 20135
18 20203
19 20213
20 20241

About Dan Guo

Dan Guo is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Catalysis and Condensed Matter Physics, having authored 22 papers that have together received 712 indexed citations. Recurring topics across this work include Nanomaterials and Printing Technologies (7 papers), Pickering emulsions and particle stabilization (6 papers), Atomic and Molecular Physics (4 papers), Catalytic Processes in Materials Science (3 papers), Perovskite Materials and Applications (3 papers), Catalysts for Methane Reforming (3 papers), 2D Materials and Applications (2 papers) and Quantum Dots Synthesis And Properties (2 papers). The work is most often cited by research in Catalysis (147 citations), Water Science and Technology (111 citations), Materials Chemistry (357 citations), Electronic, Optical and Magnetic Materials (114 citations) and Biomedical Engineering (151 citations). Dan Guo has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Chao Luo, Shiqiang Yan, Yanlin Song, Xinbin Ma, Yi‐Fan Zhao, Yujun Zhao, Shengping Wang, Yao Lu, Kaike Yang and Hui‐Xiong Deng. Their work appears in journals such as ACS Catalysis, Angewandte Chemie International Edition, Monthly Notices of the Royal Astronomical Society, InfoMat and Journal of Catalysis.

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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