Guangxin Li
- Molecular Biology top 10%
- Cancer Research top 5%
- Immunology top 10%
- Surgery
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- George TellidesLingfeng QinJianjun WangMichael SimonsPei‐Yu ChenJian WuMartin A. SchwartzYongliang Yao
- Topics
- MicroRNA in disease regulation (9 papers)Climate variability and models (6 papers)Extracellular vesicles in disease (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Communications
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Guangxin Li
68 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 1.1k
- Cancer Research 530
- Immunology 390
- Surgery 279
- Pulmonary and Respiratory Medicine 244
Countries citing papers authored by Guangxin Li
This map shows the geographic impact of Guangxin 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 Guangxin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangxin Li more than expected).
Fields of papers citing papers by Guangxin Li
This network shows the impact of papers produced by Guangxin 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 Guangxin Li. The network helps show where Guangxin Li may publish in the future.
Co-authorship network of co-authors of Guangxin Li
This figure shows the co-authorship network connecting the top 25 collaborators of Guangxin Li. A scholar is included among the top collaborators of Guangxin 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 Guangxin Li. Guangxin 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 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 10 | |
| 6 | 7 | |
| 7 | 14 | |
| 8 | 10 | |
| 9 | 23 | |
| 10 | 37 | |
| 11 | 61 | |
| 12 | 26 | |
| 13 | 23 | |
| 14 | Genistein Induced Apoptosis of Gastric Cancer Cell through Bcl-2 and Caspase-3 Regulation | 3 |
| 15 | 22 | |
| 16 | Preparation of polyclonal antibody against chicken amino peptidase N protein and its biological functions | 1 |
| 17 | Endothelial-to-mesenchymal transition drives atherosclerosis progressionbreakdown → | 417 |
| 18 | Identification and analysis of exosomes secreted from macrophages extracted by different methods. | 44 |
| 19 | 5 | |
| 20 | 85 |
About Guangxin Li
Guangxin Li is a scholar working on Cancer Research, Internal Medicine and Aging, having authored 71 papers that have together received 2.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Climate variability and models (6 papers) and Extracellular vesicles in disease (6 papers). The work is most often cited by research in Cancer Research (530 citations), Immunology (390 citations) and Molecular Biology (1.1k citations). Guangxin Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include George Tellides, Lingfeng Qin, Jianjun Wang, Michael Simons, Pei‐Yu Chen, Jian Wu, Martin A. Schwartz, Yongliang Yao, Nicolas Baeyens and Madhusudhan Budatha. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.
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.