Ai Chen
Impact in
Papers in
-
- DNA Repair Mechanisms 3
- RNA modifications and cancer 3
- Peroxisome Proliferator-Activated Receptors 2
-
- Pulmonary Hypertension Research and Treatments 6
- Co-authors
- Lei Kong (1 shared paper)Jiazhi Hu (5 shared papers)Liangdi Xie (12 shared papers)Guili Lian (9 shared papers)Li Luo (7 shared papers)Jianhang Yin (3 shared papers)Weiwei Zhang (2 shared papers)Mengzhu Liu (2 shared papers)
- Journals
- PLoS ONE (3 papers)Nucleic Acids Research (2 papers)BMC Pulmonary Medicine (2 papers)The FASEB Journal (1 paper)Applied Sciences (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ai Chen
33 papers receiving 557 citations
Peers
Comparison fields: 5 of 103
- Aging 13
- Business and International Management 13
- Molecular Biology 331
- Cancer Research 33
- Geriatrics and Gerontology 7
Countries citing papers authored by Ai Chen
This map shows the geographic impact of Ai 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 Ai Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ai Chen more than expected).
Fields of papers citing papers by Ai Chen
This network shows the impact of papers produced by Ai 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 Ai Chen. The network helps show where Ai Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ai 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 79 | |
| 2 | 2023 | 73 | |
| 3 | 2021 | 69 | |
| 4 | 2021 | 42 | |
| 5 | 2012 | 42 | |
| 6 | 2012 | 41 | |
| 7 | 2021 | 36 | |
| 8 | 2022 | 21 | |
| 9 | 2022 | 21 | |
| 10 | 2024 | 19 | |
| 11 | 2023 | 16 | |
| 12 | 2008 | 14 | |
| 13 | 2023 | 12 | |
| 14 | 2023 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2025 | 5 | |
| 20 | 2024 | 5 |
About Ai Chen
Ai Chen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Genetics and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 569 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (6 papers), DNA Repair Mechanisms (3 papers), RNA modifications and cancer (3 papers), Medical Image Segmentation Techniques (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Cardiovascular Health and Disease Prevention (2 papers), Metabolism and Genetic Disorders (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Aging (13 citations), Business and International Management (13 citations), Molecular Biology (331 citations), Cancer Research (33 citations) and Geriatrics and Gerontology (7 citations). Ai Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lei Kong, Jiazhi Hu, Liangdi Xie, Guili Lian, Li Luo, Jianhang Yin, Weiwei Zhang, Mengzhu Liu, Changchang Xin and Weibin Wu. Their work appears in journals such as PLoS ONE, Nucleic Acids Research, BMC Pulmonary Medicine, The FASEB Journal and Applied Sciences.
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.