Gangyi Chen
Impact in
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- Cancer-related molecular mechanisms research
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- Advanced biosensing and bioanalysis techniques
- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
- RNA and protein synthesis mechanisms
Papers in
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- Advanced biosensing and bioanalysis techniques 20
- CRISPR and Genetic Engineering 5
- RNA Interference and Gene Delivery 4
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- Biosensors and Analytical Detection 11
- Co-authors
- Juan Dong (20 shared papers)Xin Cui (18 shared papers)Zhuo Tang (18 shared papers)Xin Huang (9 shared papers)Jing Su (1 shared paper)Feng Du (6 shared papers)Jinzhong Huang (1 shared paper)Jilei Wang (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)Scientific Reports (3 papers)Sensors and Actuators B Chemical (2 papers)Phytotherapy Research (2 papers)Analytical Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Gangyi Chen
58 papers receiving 745 citations
Peers
Comparison fields: 5 of 107
- Cancer Research 115
- Molecular Biology 431
- Nephrology 35
- Biomedical Engineering 196
- Pulmonary and Respiratory Medicine 95
Countries citing papers authored by Gangyi Chen
This map shows the geographic impact of Gangyi 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 Gangyi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gangyi Chen more than expected).
Fields of papers citing papers by Gangyi Chen
This network shows the impact of papers produced by Gangyi 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 Gangyi Chen. The network helps show where Gangyi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Gangyi 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 75 | |
| 2 | 2018 | 63 | |
| 3 | 2021 | 51 | |
| 4 | 2023 | 50 | |
| 5 | 2019 | 39 | |
| 6 | 2021 | 34 | |
| 7 | 2022 | 33 | |
| 8 | 2019 | 31 | |
| 9 | 2019 | 23 | |
| 10 | 2019 | 20 | |
| 11 | 2019 | 20 | |
| 12 | 2019 | 19 | |
| 13 | 2014 | 18 | |
| 14 | 2016 | 17 | |
| 15 | 2017 | 16 | |
| 16 | 2017 | 15 | |
| 17 | 2024 | 14 | |
| 18 | 2024 | 14 | |
| 19 | 2020 | 13 | |
| 20 | 2020 | 12 |
About Gangyi Chen
Gangyi Chen is a scholar working on Molecular Biology, Biomedical Engineering, Nephrology, Ecology and Atmospheric Science, having authored 64 papers that have together received 758 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (20 papers), Biosensors and Analytical Detection (11 papers), Bacteriophages and microbial interactions (6 papers), Remote Sensing and Land Use (5 papers), Geometric Analysis and Curvature Flows (5 papers), CRISPR and Genetic Engineering (5 papers), Chronic Kidney Disease and Diabetes (4 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Cancer Research (115 citations), Molecular Biology (431 citations), Nephrology (35 citations), Biomedical Engineering (196 citations) and Pulmonary and Respiratory Medicine (95 citations). Gangyi Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Juan Dong, Xin Cui, Zhuo Tang, Xin Huang, Jing Su, Feng Du, Jinzhong Huang, Jilei Wang, Feng Du and Xin Huang. Their work appears in journals such as Nucleic Acids Research, Scientific Reports, Sensors and Actuators B Chemical, Phytotherapy Research and Analytical Chemistry.
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.