Guorong Gao

3.4k citations
41 papers · 3.0k indexed · 2 hit papers · h-index 26

Guorong Gao

38 papers receiving 3.0k citations

Hit Papers

Bioinspired Self‐Healing Human–Machine Interactive Touch ...3002018202620202023100200300

Peers

Guorong Gao
Comparison fields: 5 of 105
  • Molecular Medicine 1.1k
  • Polymers and Plastics 951
  • Biomaterials 639
  • Biomedical Engineering 2.0k
  • Surfaces, Coatings and Films 212
Replace Yutaka Katsuyama with:
Yutaka Katsuyama Japan
Hongji Zhang China
Tongqing Lu China
Ignazio Roppolo Italy
Annalisa Chiappone Italy
Guodong Nian China
Xuxu Yang China
Xiaoliang Chen China
Guoqi Chen China
Jia Yang China
Guorong Gao relative to Yutaka Katsuyama Japan Yutaka Katsuyama's profile →
Citations per field
00.5×1.5×
Yutaka Katsuyama · 1×
Citations per year

Countries citing papers authored by Guorong Gao

Since Specialization
Citations

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

Fields of papers citing papers by Guorong Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20248
3 20241
4 20230
5 202139
6
Bioinspired Self‐Healing Human–Machine Interactive Touch Pad with Pressure‐Sensitive Adhesiveness on Targeted Substratesbreakdown →
2020300
7 201951
8 2018113
9 20181
10 201680
11 201615
12 2015297
13
Progress in Tough and Responsive Hydrogels
20150
14 201541
15 2014191
16 201417
17 201439
18 201389
19 201334
20 20120

About Guorong Gao

Guorong Gao is a scholar working on Molecular Medicine, Polymers and Plastics and Biomaterials, having authored 41 papers that have together received 3.0k indexed citations. Recurring topics across this work include Hydrogels: synthesis, properties, applications (22 papers), Advanced Materials and Mechanics (17 papers), Advanced Sensor and Energy Harvesting Materials (15 papers), Micro and Nano Robotics (5 papers), Conducting polymers and applications (5 papers), biodegradable polymer synthesis and properties (5 papers), Tactile and Sensory Interactions (5 papers) and Advanced Polymer Synthesis and Characterization (3 papers). The work is most often cited by research in Molecular Medicine (1.1k citations), Polymers and Plastics (951 citations) and Biomaterials (639 citations). Guorong Gao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jun Fu, Gaolai Du, Yuanna Sun, Jing Chen, Liufang Wang, Rong Wang, Yang Zhou, Tao Chen, Ting Xu and Ya‐Jun Cheng. Their work appears in journals such as Advanced Materials, Angewandte Chemie International Edition and Blood.

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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