Linli Gan
Impact in
- Polymers and Plastics top 10%
- Conducting polymers and applications
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- Silk-based biomaterials and applications
- Electrospun Nanofibers in Biomedical Applications
Papers in
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- Conducting polymers and applications 3
- Textile materials and evaluations 2
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- Advanced Sensor and Energy Harvesting Materials 5
- Co-authors
- Yingying Zhang (5 shared papers)Haojie Lü (4 shared papers)G. Scott (1 shared paper)C. H. Chew (1 shared paper)Zhe Yin (1 shared paper)Haomin Wang (2 shared papers)Yong Zhang (2 shared papers)Mengjia Zhu (2 shared papers)
In The Last Decade
Linli Gan
17 papers receiving 343 citations
Linli Gan's Hit Papers
Peers
Comparison fields: 5 of 93
- Polymers and Plastics 104
- Biomaterials 80
- Biomedical Engineering 154
- Pollution 28
- Building and Construction 32
Countries citing papers authored by Linli Gan
This map shows the geographic impact of Linli Gan'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 Linli Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linli Gan more than expected).
Fields of papers citing papers by Linli Gan
This network shows the impact of papers produced by Linli Gan. 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 Linli Gan. The network helps show where Linli Gan may publish in the future.
Co-authors
The 25 scholars most cited alongside Linli Gan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Intelligent perceptual textiles based on ionic-conductive and strong silk fibers Hit paper breakdown → | 2024 | 85 |
| 2 | 2022 | 46 | |
| 3 | 1977 | 44 | |
| 4 | 2022 | 43 | |
| 5 | 2022 | 30 | |
| 6 | 2023 | 24 | |
| 7 | 2020 | 20 | |
| 8 | 2019 | 14 | |
| 9 | 2024 | 10 | |
| 10 | 2020 | 8 | |
| 11 | 2024 | 6 | |
| 12 | 2021 | 6 | |
| 13 | 2020 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2024 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2024 | 0 |
About Linli Gan
Linli Gan is a scholar working on Polymers and Plastics, Biomedical Engineering, Building and Construction, Cognitive Neuroscience and Biomaterials, having authored 20 papers that have together received 357 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (5 papers), Dyeing and Modifying Textile Fibers (4 papers), Conducting polymers and applications (3 papers), Tactile and Sensory Interactions (3 papers), Pigment Synthesis and Properties (2 papers), Textile materials and evaluations (2 papers), Effects of Environmental Stressors on Livestock (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Polymers and Plastics (104 citations), Biomaterials (80 citations), Biomedical Engineering (154 citations), Pollution (28 citations) and Building and Construction (32 citations). Linli Gan has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Yingying Zhang, Haojie Lü, G. Scott, C. H. Chew, Zhe Yin, Haomin Wang, Yong Zhang, Mengjia Zhu, Huarun Liang and Shuo Li. Their work appears in journals such as Advanced Powder Technology, Science Bulletin, International Journal of Molecular Sciences, Microbiome and Advanced Materials Technologies.
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.