Kuangfa Li
Impact in
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
-
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 2
- Oncology 3
- Cancer Cells and Metastasis 2
- Cytokine Signaling Pathways and Interactions 1
- Co-authors
- Tingmei Chen (6 shared papers)Xueli Pang (6 shared papers)Yunxiu Huang (5 shared papers)Su Min (3 shared papers)Feihu Ji (2 shared papers)Changli Zhong (2 shared papers)Hong Cao (3 shared papers)Weiqi Dang (3 shared papers)
- Journals
- Cancer Biology & Therapy (1 paper)International Journal of Oncology (1 paper)Journal of Experimental & Clinical Cancer Research (1 paper)Oncotarget (1 paper)PubMed (2 papers)
- Partner nations
- ChinaThailandSaudi Arabia
In The Last Decade
Kuangfa Li
6 papers receiving 349 citations
Peers
Comparison fields: 5 of 62
- Endocrine and Autonomic Systems 70
- Cancer Research 130
- Oncology 128
- Immunology 99
- Epidemiology 97
Countries citing papers authored by Kuangfa Li
This map shows the geographic impact of Kuangfa 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 Kuangfa Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuangfa Li more than expected).
Fields of papers citing papers by Kuangfa Li
This network shows the impact of papers produced by Kuangfa 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 Kuangfa Li. The network helps show where Kuangfa Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Kuangfa 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 | 2015 | 107 | |
| 2 | 2016 | 95 | |
| 3 | 2016 | 84 | |
| 4 | 2016 | 52 | |
| 5 | [IL-8 inhibits the apoptosis of MCF-7 human breast cancer cells by up-regulating Bcl-2 and down-regulating caspase-3]. | 2015 | 9 |
| 6 | [The effect of leptin and its mechanisms on the migration and invasion of human breast cancer MCF-7 cells]. | 2013 | 5 |
About Kuangfa Li
Kuangfa Li is a scholar working on Cancer Research, Oncology, Epidemiology, Immunology and Molecular Biology, having authored 6 papers that have together received 352 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Cancer Cells and Metastasis (2 papers), interferon and immune responses (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Medicinal Plant Pharmacodynamics Research (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (70 citations), Cancer Research (130 citations), Oncology (128 citations), Immunology (99 citations) and Epidemiology (97 citations). Kuangfa Li has collaborated with scholars based in China, Thailand and Saudi Arabia. Frequent co-authors include Tingmei Chen, Xueli Pang, Yunxiu Huang, Su Min, Feihu Ji, Changli Zhong, Hong Cao, Weiqi Dang, Lan Wei and Tang Cuiping. Their work appears in journals such as Cancer Biology & Therapy, International Journal of Oncology, Journal of Experimental & Clinical Cancer Research, Oncotarget and PubMed.
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.