Guangxia Chen
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Geriatrics and Gerontology top 5%
Papers in
-
- Metabolism, Diabetes, and Cancer 3
-
- Plant-Microbe Interactions and Immunity 4
- Co-authors
- Shuyu Zhang (7 shared papers)Wan Feng (3 shared papers)Jiafei Cheng (1 shared paper)Hong Shen (1 shared paper)Song Zhao (1 shared paper)Dawei Cai (2 shared papers)Wenjie Wang (2 shared papers)Yiting Tang (2 shared papers)
- Journals
- PLoS ONE (3 papers)Nonlinear Analysis (2 papers)Journal of Inequalities and Applications (2 papers)Potato Research (1 paper)Oncotarget (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Guangxia Chen
46 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 110
- Cancer Research 267
- Geriatrics and Gerontology 44
- Molecular Biology 562
- Oncology 157
- Applied Microbiology and Biotechnology 11
Countries citing papers authored by Guangxia Chen
This map shows the geographic impact of Guangxia 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 Guangxia Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangxia Chen more than expected).
Fields of papers citing papers by Guangxia Chen
This network shows the impact of papers produced by Guangxia 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 Guangxia Chen. The network helps show where Guangxia Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Guangxia 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 166 | |
| 2 | 2017 | 105 | |
| 3 | 2017 | 75 | |
| 4 | 2019 | 67 | |
| 5 | 2014 | 67 | |
| 6 | 2014 | 63 | |
| 7 | Metformin inhibits gastric cancer via the inhibition of HIF1α/PKM2 signaling. | 2015 | 53 |
| 8 | 2020 | 44 | |
| 9 | 2017 | 41 | |
| 10 | 2018 | 40 | |
| 11 | 2016 | 36 | |
| 12 | 2021 | 35 | |
| 13 | 2018 | 30 | |
| 14 | 2018 | 30 | |
| 15 | 2018 | 29 | |
| 16 | 2022 | 26 | |
| 17 | 2020 | 24 | |
| 18 | 2015 | 23 | |
| 19 | 2011 | 23 | |
| 20 | 2015 | 23 |
About Guangxia Chen
Guangxia Chen is a scholar working on Molecular Biology, Plant Science, Surgery, Oncology and Cancer Research, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (5 papers), Cancer-related molecular mechanisms research (5 papers), Helicobacter pylori-related gastroenterology studies (4 papers), Plant-Microbe Interactions and Immunity (4 papers), Nonlinear Differential Equations Analysis (4 papers), Stability and Controllability of Differential Equations (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Additive Manufacturing Materials and Processes (3 papers). The work is most often cited by research in Cancer Research (267 citations), Geriatrics and Gerontology (44 citations), Molecular Biology (562 citations), Oncology (157 citations) and Applied Microbiology and Biotechnology (11 citations). Guangxia Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Shuyu Zhang, Wan Feng, Jiafei Cheng, Hong Shen, Song Zhao, Dawei Cai, Wenjie Wang, Yiting Tang, Xifa Zhou and Judong Luo. Their work appears in journals such as PLoS ONE, Nonlinear Analysis, Journal of Inequalities and Applications, Potato Research and Oncotarget.
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.