Lu-ping Chen
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
Papers in
-
- Pluripotent Stem Cells Research 6
- Circular RNAs in diseases 6
- Peroxisome Proliferator-Activated Receptors 5
-
- Nanoplatforms for cancer theranostics 11
- Co-authors
- Wenbao Zuo (7 shared papers)Xuan Zhu (7 shared papers)Juanyi Shi (6 shared papers)Jinxue Liu (6 shared papers)Yinjie Su (5 shared papers)Nian Liu (5 shared papers)Quanyi Jin (5 shared papers)Tianxin Lin (4 shared papers)
- Journals
- Journal of Medical Virology (5 papers)Aging (4 papers)Acta Biomaterialia (3 papers)ACS Applied Materials & Interfaces (3 papers)Cancers (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lu-ping Chen
94 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 132
- Cancer Research 323
- Biochemistry 128
- Biomaterials 203
- Molecular Biology 877
- Biomedical Engineering 506
Countries citing papers authored by Lu-ping Chen
This map shows the geographic impact of Lu-ping 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 Lu-ping Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu-ping Chen more than expected).
Fields of papers citing papers by Lu-ping Chen
This network shows the impact of papers produced by Lu-ping 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 Lu-ping Chen. The network helps show where Lu-ping Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu-ping 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 125 | |
| 2 | 2021 | 116 | |
| 3 | 2013 | 111 | |
| 4 | 2005 | 90 | |
| 5 | 2007 | 81 | |
| 6 | 2019 | 74 | |
| 7 | 2008 | 72 | |
| 8 | 2020 | 65 | |
| 9 | 2021 | 55 | |
| 10 | 2012 | 53 | |
| 11 | 2022 | 51 | |
| 12 | 2020 | 51 | |
| 13 | 2020 | 49 | |
| 14 | 2022 | 45 | |
| 15 | 2019 | 44 | |
| 16 | 2020 | 43 | |
| 17 | 2022 | 42 | |
| 18 | 2021 | 42 | |
| 19 | 2006 | 39 | |
| 20 | 2020 | 38 |
About Lu-ping Chen
Lu-ping Chen is a scholar working on Molecular Biology, Biomedical Engineering, Cancer Research, Software and Cellular and Molecular Neuroscience, having authored 102 papers that have together received 2.2k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (11 papers), Advanced Nanomaterials in Catalysis (6 papers), Pluripotent Stem Cells Research (6 papers), Circular RNAs in diseases (6 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Software Reliability and Analysis Research (5 papers), Lipid metabolism and biosynthesis (5 papers) and Adipose Tissue and Metabolism (5 papers). The work is most often cited by research in Cancer Research (323 citations), Biochemistry (128 citations), Biomaterials (203 citations), Molecular Biology (877 citations) and Biomedical Engineering (506 citations). Lu-ping Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wenbao Zuo, Xuan Zhu, Juanyi Shi, Jinxue Liu, Yinjie Su, Nian Liu, Quanyi Jin, Tianxin Lin, Zhimei Xiao and Liang Wu. Their work appears in journals such as Journal of Medical Virology, Aging, Acta Biomaterialia, ACS Applied Materials & Interfaces and Cancers.
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.