Chunhua Li
- Molecular Biology top 5%
- Cancer Research top 2%
- Materials Chemistry
- Physiology top 10%
- Immunology
- Co-authors
- Guiquan ZhuKun LiuXiaoxia LiZhaohui WangChao LiLing LiShaoxin WangJian Jiang
- Topics
- Cancer-related molecular mechanisms research (12 papers)RNA modifications and cancer (8 papers)Fuzzy and Soft Set Theory (7 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Chunhua Li
130 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Molecular Biology 1.4k
- Cancer Research 830
- Materials Chemistry 278
- Physiology 269
- Immunology 187
Countries citing papers authored by Chunhua Li
This map shows the geographic impact of Chunhua 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 Chunhua Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunhua Li more than expected).
Fields of papers citing papers by Chunhua Li
This network shows the impact of papers produced by Chunhua 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 Chunhua Li. The network helps show where Chunhua Li may publish in the future.
Co-authorship network of co-authors of Chunhua Li
This figure shows the co-authorship network connecting the top 25 collaborators of Chunhua Li. A scholar is included among the top collaborators of Chunhua 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 Chunhua Li. Chunhua 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 | 5 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | Cloud Storage Technology and Its Applications | 0 |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | Exosomes Derived from Hypoxic Oral Squamous Cell Carcinoma Cells Deliver miR-21 to Normoxic Cells to Elicit a Prometastatic Phenotypebreakdown → | 436 |
| 16 | 2 | |
| 17 | Good Congruences on Perfect Rectangular Bands of Adequate Semigroups | 1 |
| 18 | Thermogravimetric Kinetics of Polystyrene Degradation over BaO | 2 |
| 19 | IC-superabundant semigroups | 1 |
| 20 | STUDIES ON THE STABILITY OF ARTHROPOD COMMUNITY IN TRANSGENIC CrylAc PLUS CpTI COTTON FIELDS | 1 |
About Chunhua Li
Chunhua Li is a scholar working on Cancer Research, Computational Theory and Mathematics and Complementary and alternative medicine, having authored 145 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), RNA modifications and cancer (8 papers) and Fuzzy and Soft Set Theory (7 papers). The work is most often cited by research in Cancer Research (830 citations), Catalysis (176 citations) and Molecular Biology (1.4k citations). Chunhua Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Guiquan Zhu, Kun Liu, Xiaoxia Li, Zhaohui Wang, Chao Li, Ling Li, Shaoxin Wang, Jian Jiang, Wei Wang and Jin Chen. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Investigation and Nature Genetics.
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.