Gai‐Li Li
Impact in
- Organic Chemistry top 10%
- Catalytic Alkyne Reactions
- Catalytic C–H Functionalization Methods
- Carbohydrate Chemistry and Synthesis
- Chemical Synthesis and Reactions
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- Neuroscience of respiration and sleep
Papers in
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- Protein Structure and Dynamics 4
- Chemical Synthesis and Analysis 3
- Bioinformatics and Genomic Networks 2
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- Computational Drug Discovery Methods 5
- Co-authors
- Man‐Kin Wong (2 shared papers)Karen Ka‐Yan Kung (2 shared papers)Xianhua Xu (4 shared papers)Jiayun He (2 shared papers)Bo Wang (2 shared papers)Bai‐Ren Wang (3 shared papers)Fabao Gao (3 shared papers)Gong Ju (2 shared papers)
In The Last Decade
Gai‐Li Li
16 papers receiving 395 citations
Peers
Comparison fields: 5 of 82
- Organic Chemistry 199
- Endocrine and Autonomic Systems 35
- Neurology 25
- Neurology 43
- Endocrinology, Diabetes and Metabolism 43
Countries citing papers authored by Gai‐Li Li
This map shows the geographic impact of Gai‐Li 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 Gai‐Li Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gai‐Li Li more than expected).
Fields of papers citing papers by Gai‐Li Li
This network shows the impact of papers produced by Gai‐Li 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 Gai‐Li Li. The network helps show where Gai‐Li Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Gai‐Li 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
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 83 | |
| 2 | 2012 | 82 | |
| 3 | 2011 | 44 | |
| 4 | 2006 | 41 | |
| 5 | 2004 | 36 | |
| 6 | 2016 | 33 | |
| 7 | 2016 | 23 | |
| 8 | 2015 | 12 | |
| 9 | 2019 | 11 | |
| 10 | 2013 | 11 | |
| 11 | 2020 | 7 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 4 | |
| 14 | 2024 | 3 | |
| 15 | [The effect of copolymer-1 on the apoptosis and the IL-6R expression of the retinal ganglion cells in chronic elevated intraocular pressure rat model]. | 2004 | 1 |
| 16 | 2025 | 1 | |
| 17 | A Safety and Efficient Speech Biological Hashing Algorithm | 2020 | 1 |
| 18 | 2025 | 0 | |
| 19 | A Retrieval Algorithm of Encrypted Speech Based on Biological Hashing | 2020 | 0 |
About Gai‐Li Li
Gai‐Li Li is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Neurology and Pharmacology, having authored 19 papers that have together received 400 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (4 papers), Chemical Synthesis and Analysis (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Intracranial Aneurysms: Treatment and Complications (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Catalytic Alkyne Reactions (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Organic Chemistry (199 citations), Endocrine and Autonomic Systems (35 citations), Neurology (25 citations), Neurology (43 citations) and Endocrinology, Diabetes and Metabolism (43 citations). Gai‐Li Li has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Man‐Kin Wong, Karen Ka‐Yan Kung, Xianhua Xu, Jiayun He, Bo Wang, Bai‐Ren Wang, Fabao Gao, Gong Ju, Jianwen Gu and Zhen Xu. Their work appears in journals such as Behavioural Brain Research, Journal of Molecular Graphics and Modelling, Multimedia Tools and Applications, Advanced Synthesis & Catalysis and Multimedia Systems.
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.