Huaping Chen
Impact in
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
- Geriatrics and Gerontology top 10%
Papers in ⓘ
-
- Cancer, Lipids, and Metabolism 8
- Oncology 17
- Inflammatory Biomarkers in Disease Prognosis 10
- Co-authors
- Trygve O. Tollefsbol (7 shared papers)Tabitha M. Hardy (3 shared papers)Yuanyuan Li (3 shared papers)Yuanyuan Li (2 shared papers)Ronald D. Alvarez (2 shared papers)Charles N. Landen (2 shared papers)Shweta N. Patel (1 shared paper)Syed Musthapa Meeran (1 shared paper)
- Journals
- Clinical Biochemistry (3 papers)PLoS ONE (3 papers)Nature (2 papers)Frontiers in Genetics (2 papers)Journal of Clinical Laboratory Analysis (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Huaping Chen
76 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 130
- Biochemistry 77
- Geriatrics and Gerontology 46
- Cancer Research 168
- Applied Microbiology and Biotechnology 22
- Molecular Biology 686
Countries citing papers authored by Huaping Chen
This map shows the geographic impact of Huaping 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 Huaping Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huaping Chen more than expected).
Fields of papers citing papers by Huaping Chen
This network shows the impact of papers produced by Huaping 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 Huaping Chen. The network helps show where Huaping Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Huaping Chen, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 146 | |
| 2 | 2016 | 119 | |
| 3 | 2014 | 110 | |
| 4 | 2013 | 90 | |
| 5 | 2013 | 82 | |
| 6 | 2022 | 81 | |
| 7 | 2013 | 66 | |
| 8 | 2016 | 62 | |
| 9 | 2008 | 52 | |
| 10 | 2013 | 44 | |
| 11 | 2013 | 43 | |
| 12 | 2021 | 42 | |
| 13 | 2006 | 41 | |
| 14 | 2013 | 35 | |
| 15 | 2014 | 33 | |
| 16 | 2022 | 32 | |
| 17 | 2021 | 31 | |
| 18 | 2022 | 30 | |
| 19 | 2015 | 29 | |
| 20 | 2011 | 28 |
About Huaping Chen
Huaping Chen is a scholar working on Cancer Research, Oncology, Aging, Filtration and Separation and Molecular Biology, having authored 80 papers that have together received 1.7k indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (10 papers), Cancer, Lipids, and Metabolism (8 papers), RNA Interference and Gene Delivery (5 papers), Wheat and Barley Genetics and Pathology (4 papers), RNA modifications and cancer (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Receptor Mechanisms and Signaling (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). The work is most often cited by research in Biochemistry (77 citations), Geriatrics and Gerontology (46 citations), Cancer Research (168 citations), Applied Microbiology and Biotechnology (22 citations) and Molecular Biology (686 citations). Huaping Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Trygve O. Tollefsbol, Tabitha M. Hardy, Yuanyuan Li, Yuanyuan Li, Ronald D. Alvarez, Charles N. Landen, Shweta N. Patel, Syed Musthapa Meeran, Qianming Huang and Meng‐Yang Chang. Their work appears in journals such as Clinical Biochemistry, PLoS ONE, Nature, Frontiers in Genetics and Journal of Clinical Laboratory Analysis.
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.