Gang Li
- Cancer Research top 0.5%
- MicroRNA in disease regulation 30
- Cancer-related molecular mechanisms research 22
- Molecular Biology top 2%
- RNA modifications and cancer 24
- Extracellular vesicles in disease 21
- Circular RNAs in diseases 15
- RNA Research and Splicing 12
- Genetics top 2%
- Glioma Diagnosis and Treatment 17
- Immunology top 5%
- Neurology top 5%
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- Autophagy in Disease and Therapy 20
- Journals
- Oncotarget (7 papers)Journal of Experimental & Clinical Cancer Research (5 papers)Oncogene (4 papers)
- Partner nations
- ChinaUnited StatesNorway
In The Last Decade
Gang Li
170 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Cancer Research 1.7k
- Molecular Biology 3.0k
- Genetics 406
- Immunology 700
- Neurology 203
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
The 25 scholars most cited alongside Gang 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 | 2025 | 6 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2023 | 25 | |
| 7 | 2023 | 31 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 26 | |
| 10 | Synaptic changes and the response of microglia in a light-induced photoreceptor degeneration model | 2021 | 7 |
| 11 | 2020 | 74 | |
| 12 | 2020 | 4 | |
| 13 | 2020 | 1 | |
| 14 | 2019 | 26 | |
| 15 | 2019 | 55 | |
| 16 | 2016 | 22 | |
| 17 | 2016 | 7 | |
| 18 | 2010 | 2 | |
| 19 | [Study of X-irradiation to enhance the functional and structural recovery of the injured spinal cord of rat]. | 2003 | 2 |
| 20 | Regulation of Opiates on the Synthesis of Intracellular Protein p53 in CEM ×174 cells Infected with Simian Immunodeficiency Virus | 2000 | 4 |
About Gang Li
Gang Li is a scholar working on Cancer Research, Genetics and Molecular Biology, having authored 176 papers that have together received 4.6k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (30 papers), RNA modifications and cancer (24 papers), Cancer-related molecular mechanisms research (22 papers), Extracellular vesicles in disease (21 papers), Autophagy in Disease and Therapy (20 papers), Glioma Diagnosis and Treatment (17 papers), Circular RNAs in diseases (15 papers) and RNA Research and Splicing (12 papers). The work is most often cited by research in Cancer Research (1.7k citations), Molecular Biology (3.0k citations) and Genetics (406 citations). Gang Li has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Hao Xue, Xiaofan Guo, Xiao Gao, Shaobo Wang, Jian Wang, Mingyu Qian, Zongpu Zhang, Wei Qiu, Qinglin Liu and Yanhua Qi. Their work appears in journals such as Oncotarget, Journal of Experimental & Clinical Cancer Research, Oncogene, International Journal of Oncology and Frontiers in Immunology.
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.