Peiling Chen
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
- Nephrology top 10%
- Parathyroid Disorders and Treatments
Papers in
-
- Sepsis Diagnosis and Treatment 3
- Congenital Heart Disease Studies 2
-
- Lung Cancer Treatments and Mutations 3
- Lung Cancer Diagnosis and Treatment 2
- Co-authors
- Yingying Lin (2 shared papers)Yuxiong Guo (6 shared papers)Guilang Zheng (6 shared papers)Shan Yin (1 shared paper)Shaolong Sun (1 shared paper)Yanjun Qian (1 shared paper)Dehong Li (1 shared paper)Yan Hu (3 shared papers)
- Journals
- Journal of Cellular and Molecular Medicine (1 paper)Hypertension (1 paper)Journal of Materials Chemistry C (1 paper)Frontiers in Pediatrics (1 paper)Frontiers in Medicine (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Peiling Chen
35 papers receiving 684 citations
Peers
Comparison fields: 5 of 86
- Modeling and Simulation 39
- Nephrology 61
- Clinical Biochemistry 29
- Health Informatics 9
- Molecular Biology 175
Countries citing papers authored by Peiling Chen
This map shows the geographic impact of Peiling 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 Peiling Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peiling Chen more than expected).
Fields of papers citing papers by Peiling Chen
This network shows the impact of papers produced by Peiling 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 Peiling Chen. The network helps show where Peiling Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Peiling 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 142 | |
| 2 | 2023 | 75 | |
| 3 | 2020 | 59 | |
| 4 | 2022 | 59 | |
| 5 | 2022 | 49 | |
| 6 | 2023 | 45 | |
| 7 | 2019 | 42 | |
| 8 | 2019 | 41 | |
| 9 | 2016 | 25 | |
| 10 | 2023 | 20 | |
| 11 | 2021 | 17 | |
| 12 | 2024 | 17 | |
| 13 | 2025 | 13 | |
| 14 | 2019 | 11 | |
| 15 | 2025 | 11 | |
| 16 | 2022 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2023 | 6 |
About Peiling Chen
Peiling Chen is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Nephrology, Rheumatology and Spectroscopy, having authored 39 papers that have together received 699 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (3 papers), Sepsis Diagnosis and Treatment (3 papers), Lung Cancer Diagnosis and Treatment (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Congenital Heart Disease Studies (2 papers), Extracellular vesicles in disease (2 papers), Systemic Lupus Erythematosus Research (2 papers) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Modeling and Simulation (39 citations), Nephrology (61 citations), Clinical Biochemistry (29 citations), Health Informatics (9 citations) and Molecular Biology (175 citations). Peiling Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yingying Lin, Yuxiong Guo, Guilang Zheng, Shan Yin, Shaolong Sun, Yanjun Qian, Dehong Li, Yan Hu, Jun Lin and Qiao Zhang. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Hypertension, Journal of Materials Chemistry C, Frontiers in Pediatrics and Frontiers in Medicine.
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.