Junshi Li
Impact in
- Pharmaceutical Science top 2%
- Advancements in Transdermal Drug Delivery
- Dermatology top 10%
- Dermatology and Skin Diseases
Papers in
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- Neuroscience and Neural Engineering 10
-
- Advancements in Transdermal Drug Delivery 6
- Co-authors
- Zhihong Li (18 shared papers)Dong Huang (13 shared papers)Zhongyan Wang (7 shared papers)Zhitong Zhang (9 shared papers)Qining Wang (6 shared papers)Tingyu Li (4 shared papers)Yingjie Ren (6 shared papers)Yufeng Chen (5 shared papers)
- Journals
- Geofluids (2 papers)IEEE Transactions on Applied Superconductivity (2 papers)IEEE Transactions on Instrumentation and Measurement (2 papers)Journal of Micromechanics and Microengineering (1 paper)Case Studies in Construction Materials (1 paper)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Junshi Li
34 papers receiving 444 citations
Peers
Comparison fields: 5 of 88
- Pharmaceutical Science 146
- Dermatology 50
- Cellular and Molecular Neuroscience 75
- Biomedical Engineering 173
- Cognitive Neuroscience 45
Countries citing papers authored by Junshi Li
This map shows the geographic impact of Junshi Li'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 Junshi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junshi Li more than expected).
Fields of papers citing papers by Junshi Li
This network shows the impact of papers produced by Junshi Li. 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 Junshi Li. The network helps show where Junshi Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Junshi Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 103 | |
| 2 | 2020 | 58 | |
| 3 | 2023 | 43 | |
| 4 | 2021 | 41 | |
| 5 | 2024 | 26 | |
| 6 | 2020 | 24 | |
| 7 | 2013 | 19 | |
| 8 | 2021 | 16 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 9 | |
| 11 | 2021 | 9 | |
| 12 | 2019 | 8 | |
| 13 | 2019 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2019 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2020 | 5 |
About Junshi Li
Junshi Li is a scholar working on Cellular and Molecular Neuroscience, Pharmaceutical Science, Biomedical Engineering, Ocean Engineering and Cognitive Neuroscience, having authored 37 papers that have together received 450 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (10 papers), Neuroscience and Neural Engineering (10 papers), Advancements in Transdermal Drug Delivery (6 papers), Conducting polymers and applications (4 papers), Hydraulic Fracturing and Reservoir Analysis (4 papers), Dermatology and Skin Diseases (3 papers), Drilling and Well Engineering (3 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Pharmaceutical Science (146 citations), Dermatology (50 citations), Cellular and Molecular Neuroscience (75 citations), Biomedical Engineering (173 citations) and Cognitive Neuroscience (45 citations). Junshi Li has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Zhihong Li, Dong Huang, Zhongyan Wang, Zhitong Zhang, Qining Wang, Tingyu Li, Yingjie Ren, Yufeng Chen, Yufeng Chen and Yuanyu Huang. Their work appears in journals such as Geofluids, IEEE Transactions on Applied Superconductivity, IEEE Transactions on Instrumentation and Measurement, Journal of Micromechanics and Microengineering and Case Studies in Construction Materials.
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.