Gang� Li
- Molecular Biology top 5%
- Immunology top 5%
- Cancer Research top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Oncology top 10%
- Co-authors
- Kunshan GaoWei‐Yin WuJinrong ZhengMangmang SangYan WangGui‐Rong LiCuilian DaiYi‐Xiang Hong
- Topics
- MicroRNA in disease regulation (17 papers)Circular RNAs in diseases (16 papers)Inflammasome and immune disorders (11 papers)
- Journals
- Proceedings of the National Academy of SciencesChemical Society ReviewsJournal of Clinical Investigation
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Gang� Li
213 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 167
- Molecular Biology 1.5k
- Immunology 533
- Cancer Research 501
- Cardiology and Cardiovascular Medicine 380
- Oncology 378
Countries citing papers authored by Gang� Li
This map shows the geographic impact of Gang� 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 Gang� Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang� Li more than expected).
Fields of papers citing papers by Gang� Li
This network shows the impact of papers produced by Gang� 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 Gang� Li. The network helps show where Gang� Li may publish in the future.
Co-authorship network of co-authors of Gang� Li
This figure shows the co-authorship network connecting the top 25 collaborators of Gang� Li. A scholar is included among the top collaborators of Gang� Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gang� Li. Gang� Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 46 | |
| 10 | 13 | |
| 11 | 51 | |
| 12 | 47 | |
| 13 | Molecular mechanism of Duhuojisheng Decoction in the treatment of knee osteoarthritis based on the network pharmacology | 0 |
| 14 | 47 | |
| 15 | A Business Model Incorporating Harmonic Control as a Value-added Service for Utility-owned Electricity Retailers | 7 |
| 16 | 62 | |
| 17 | 15 | |
| 18 | 24 | |
| 19 | 0 | |
| 20 | Antagonism of Yuanshi Shengmai Chenggu Capsule on Steroid- induced Adipogenesis in Rat Marrow Stromal Cells | 1 |
About Gang� Li
Gang� Li is a scholar working on Cancer Research, Immunology and Cardiology and Cardiovascular Medicine, having authored 226 papers that have together received 3.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (17 papers), Circular RNAs in diseases (16 papers) and Inflammasome and immune disorders (11 papers). The work is most often cited by research in Cancer Research (501 citations), Immunology (533 citations) and Molecular Biology (1.5k citations). Gang� Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Kunshan Gao, Wei‐Yin Wu, Jinrong Zheng, Mangmang Sang, Yan Wang, Gui‐Rong Li, Cuilian Dai, Yi‐Xiang Hong, Yun‐Da Li and Chan Wu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Chemical Society Reviews and Journal of Clinical Investigation.
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.