Chen Huang
Impact in
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 2%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
-
- RNA modifications and cancer 35
- Circular RNAs in diseases 21
- RNA Research and Splicing 19
- Epigenetics and DNA Methylation 13
-
- MicroRNA in disease regulation 55
- Cancer-related molecular mechanisms research 39
- Co-authors
- Tusheng Song (39 shared papers)Dongdong Tong (31 shared papers)Wen-hai Feng (7 shared papers)Qiong Zhang (6 shared papers)Bo Guo (21 shared papers)Juan Yang (29 shared papers)Lingyu Zhao (30 shared papers)Jun Yang (9 shared papers)
- Journals
- Scientific Reports (7 papers)Oncotarget (7 papers)International Journal of Oncology (5 papers)Life Sciences (5 papers)Cancer Gene Therapy (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chen Huang
271 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 162
- Cancer Research 1.8k
- Molecular Biology 3.1k
- Animal Science and Zoology 408
- Immunology 563
- Oncology 513
Countries citing papers authored by Chen Huang
This map shows the geographic impact of Chen Huang'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 Chen Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Huang more than expected).
Fields of papers citing papers by Chen Huang
This network shows the impact of papers produced by Chen Huang. 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 Chen Huang. The network helps show where Chen Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 279 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 140 | |
| 2 | 2014 | 128 | |
| 3 | 2014 | 89 | |
| 4 | 2014 | 85 | |
| 5 | 2016 | 83 | |
| 6 | 2012 | 78 | |
| 7 | 2007 | 77 | |
| 8 | 2013 | 74 | |
| 9 | 2019 | 72 | |
| 10 | 2015 | 69 | |
| 11 | 2017 | 66 | |
| 12 | 2018 | 64 | |
| 13 | 2014 | 61 | |
| 14 | 2014 | 61 | |
| 15 | 2017 | 61 | |
| 16 | 2017 | 59 | |
| 17 | 2015 | 59 | |
| 18 | 2018 | 59 | |
| 19 | 2017 | 58 | |
| 20 | 2018 | 58 |
About Chen Huang
Chen Huang is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Epidemiology, having authored 279 papers that have together received 5.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (55 papers), Cancer-related molecular mechanisms research (39 papers), RNA modifications and cancer (35 papers), Circular RNAs in diseases (21 papers), RNA Research and Splicing (19 papers), Epigenetics and DNA Methylation (13 papers), Cardiac electrophysiology and arrhythmias (13 papers) and Peptidase Inhibition and Analysis (12 papers). The work is most often cited by research in Cancer Research (1.8k citations), Molecular Biology (3.1k citations), Animal Science and Zoology (408 citations), Immunology (563 citations) and Oncology (513 citations). Chen Huang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tusheng Song, Dongdong Tong, Wen-hai Feng, Qiong Zhang, Bo Guo, Juan Yang, Lingyu Zhao, Jun Yang, Lumin Wang and Zongfang Li. Their work appears in journals such as Scientific Reports, Oncotarget, International Journal of Oncology, Life Sciences and Cancer Gene Therapy.
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.