Peiling Chen
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Sepsis Diagnosis and Treatment 3
- Fungal Infections and Studies 2
- Congenital Heart Disease Studies 2
-
- Extracellular vesicles in disease 2
- Heat shock proteins research 1
- Co-authors
- Yan‐Kwang Chen (1 shared paper)Yingying Lin (2 shared papers)Yuxiong Guo (6 shared papers)Yan Hu (3 shared papers)Guilang Zheng (6 shared papers)Shaolong Sun (1 shared paper)Dongsi Lu (1 shared paper)Jianping Li (1 shared paper)
- Journals
- Journal of Cutaneous Pathology (1 paper)Frontiers in Pediatrics (1 paper)Frontiers in Psychiatry (1 paper)Oncogene (1 paper)Translational Psychiatry (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Peiling Chen
28 papers receiving 471 citations
Peers
Comparison fields: 5 of 97
- Modeling and Simulation 41
- Critical Care and Intensive Care Medicine 12
- Dermatology 21
- Epidemiology 73
- Electronic, Optical and Magnetic Materials 37
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 58 | |
| 2 | 2022 | 52 | |
| 3 | 2022 | 48 | |
| 4 | 2008 | 48 | |
| 5 | 2019 | 41 | |
| 6 | 2023 | 36 | |
| 7 | 2019 | 35 | |
| 8 | 2016 | 21 | |
| 9 | 2013 | 20 | |
| 10 | 2020 | 18 | |
| 11 | 2021 | 16 | |
| 12 | 2023 | 14 | |
| 13 | 2024 | 13 | |
| 14 | 2025 | 12 | |
| 15 | 2020 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2022 | 4 |
About Peiling Chen
Peiling Chen is a scholar working on Epidemiology, Molecular Biology, Pulmonary and Respiratory Medicine, Infectious Diseases and Nephrology, having authored 33 papers that have together received 481 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (3 papers), Antifungal resistance and susceptibility (2 papers), Fungal Infections and Studies (2 papers), Extracellular vesicles in disease (2 papers), MicroRNA in disease regulation (2 papers), Congenital Heart Disease Studies (2 papers), Renal cell carcinoma treatment (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Modeling and Simulation (41 citations), Critical Care and Intensive Care Medicine (12 citations), Dermatology (21 citations), Epidemiology (73 citations) and Electronic, Optical and Magnetic Materials (37 citations). Peiling Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yan‐Kwang Chen, Yingying Lin, Yuxiong Guo, Yan Hu, Guilang Zheng, Shaolong Sun, Dongsi Lu, Jianping Li, Weijun Zhang and Fenggang Liu. Their work appears in journals such as Journal of Cutaneous Pathology, Frontiers in Pediatrics, Frontiers in Psychiatry, Oncogene and Translational Psychiatry.
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.