Hua Chen
- Molecular Biology top 5%
- Oncology top 5%
- Cancer Research top 2%
- Electrical and Electronic Engineering top 10%
- Surgery top 10%
- Co-authors
- Brian BatesHorst H. SimonMien‐Chie HungChristopher B. HauserKuo-Fen LeeLiang‐Sheng LiaoZuo‐Quan JiangLei Ding
- Topics
- Cancer-related molecular mechanisms research (24 papers)MicroRNA in disease regulation (17 papers)Circular RNAs in diseases (14 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hua Chen
84 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 1.7k
- Oncology 876
- Cancer Research 854
- Electrical and Electronic Engineering 369
- Surgery 335
Countries citing papers authored by Hua Chen
This map shows the geographic impact of Hua Chen'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 Hua Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Chen more than expected).
Fields of papers citing papers by Hua Chen
This network shows the impact of papers produced by Hua Chen. 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 Hua Chen. The network helps show where Hua Chen may publish in the future.
Co-authorship network of co-authors of Hua Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Hua Chen. A scholar is included among the top collaborators of Hua Chen 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 Hua Chen. Hua Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 15 | |
| 5 | 27 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 10 | |
| 9 | 13 | |
| 10 | 17 | |
| 11 | 60 | |
| 12 | 72 | |
| 13 | 4 | |
| 14 | 83 | |
| 15 | Study on the effect of electro-acupuncture ouch point in rabbits with muscle regeneration after contusion based on the ERK signal pathway inhibited by U0126 | 1 |
| 16 | The biological difference between CD13+CD133+ and CD13¬CD133¬liver cancer cells and its clinical significance | 0 |
| 17 | The trends in mortalities of malignant tumors in Pudong New Area in Shanghai from 1993 to 2007 | 3 |
| 18 | 72 | |
| 19 | 53 | |
| 20 | 129 |
About Hua Chen
Hua Chen is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 90 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (24 papers), MicroRNA in disease regulation (17 papers) and Circular RNAs in diseases (14 papers). The work is most often cited by research in Cancer Research (854 citations), Oncology (876 citations) and Molecular Biology (1.7k citations). Hua Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Brian Bates, Horst H. Simon, Mien‐Chie Hung, Christopher B. Hauser, Kuo-Fen Lee, Liang‐Sheng Liao, Zuo‐Quan Jiang, Lei Ding, Shou‐Cheng Dong and Jaroslav Jelı́nek. Their work appears in journals such as Nature, Advanced Materials 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.