Pan Gu

537 citations
37 papers · 415 · h-index 12

Impact in

    • Microfluidic and Capillary Electrophoresis Applications
    • Advanced Sensor and Energy Harvesting Materials
    • Innovative Microfluidic and Catalytic Techniques Innovation
    • Nanofabrication and Lithography Techniques
    • Microfluidic and Bio-sensing Technologies

Papers in

Pan Gu

33 papers receiving 410 citations

Peers

Pan Gu
Comparison fields: 5 of 103
  • Surfaces, Coatings and Films 35
  • Biomedical Engineering 201
  • Biomaterials 43
  • Molecular Medicine 14
  • Polymers and Plastics 37
Replace David Lu with:
David Lu United States
David G. Moore Switzerland
Geoffrey Rivers Canada
William R. T. Tait United States
Tao Tang China
Qilong Cheng United States
Jiabei Luo China
Zhijia Zhu China
Dominik Fajstavr Czechia
Pan Gu relative to David Lu United States David Lu's profile →
Citations per field
00.5×2.8×
David Lu · 1×
Citations per year

Countries citing papers authored by Pan Gu

Since Specialization
Citations

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

Fields of papers citing papers by Pan Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201957
2 201057
3 202433
4 200724
5 200523
6 201323
7 202320
8 202018
9 202318
10 201117
11 202014
12 202111
13 201110
14 202310
15 20229
16 20159
17 20229
18 20237
19 20227
20 20225

About Pan Gu

Pan Gu is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Organic Chemistry, Electronic, Optical and Magnetic Materials and Materials Chemistry, having authored 37 papers that have together received 415 indexed citations. Recurring topics across this work include Microfluidic and Capillary Electrophoresis Applications (8 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), Gold and Silver Nanoparticles Synthesis and Applications (4 papers), Microfluidic and Bio-sensing Technologies (4 papers), Neural and Behavioral Psychology Studies (3 papers), Polymer Surface Interaction Studies (3 papers), Advanced Polymer Synthesis and Characterization (3 papers) and Transcranial Magnetic Stimulation Studies (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (35 citations), Biomedical Engineering (201 citations), Biomaterials (43 citations), Molecular Medicine (14 citations) and Polymers and Plastics (37 citations). Pan Gu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Z. Hugh Fan, Toshikazu Nishida, Qi Zhong, Peter Müller‐Buschbaum, Jiping Wang, Di Chen, Ke Liu, Jingquan Liu, Hong Chen and Na Fan. Their work appears in journals such as Small, ACS Applied Materials & Interfaces, ACS Biomaterials Science & Engineering, Biological Psychiatry and Applied Surface Science.

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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