Sha Chen
Impact in
- Obstetrics and Gynecology top 10%
- Pregnancy and preeclampsia studies
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Advanced biosensing and bioanalysis techniques 1
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- Autophagy in Disease and Therapy 2
- Acute Ischemic Stroke Management 1
- Co-authors
- Yu Liu (1 shared paper)Zhengmao Li (1 shared paper)Hongyu Zhang (1 shared paper)Xiaoxia Kong (1 shared paper)Yongsheng Gong (1 shared paper)Ran Chen (1 shared paper)Hailin Zhang (1 shared paper)Feng Xue (1 shared paper)
- Journals
- PLoS ONE (2 papers)Chemical Engineering Journal (1 paper)Acta Obstetricia Et Gynecologica Scandinavica (1 paper)Life Sciences (1 paper)Cell Proliferation (1 paper)
- Partner nations
- China
In The Last Decade
Sha Chen
14 papers receiving 459 citations
Peers
Comparison fields: 5 of 93
- Obstetrics and Gynecology 48
- Cancer Research 79
- Immunology 100
- Cell Biology 72
- Epidemiology 98
Countries citing papers authored by Sha Chen
This map shows the geographic impact of Sha 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 Sha Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Chen more than expected).
Fields of papers citing papers by Sha Chen
This network shows the impact of papers produced by Sha 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 Sha Chen. The network helps show where Sha Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Sha 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 229 | |
| 2 | 2020 | 55 | |
| 3 | 2022 | 52 | |
| 4 | 2020 | 27 | |
| 5 | 2018 | 26 | |
| 6 | 2019 | 18 | |
| 7 | 2022 | 16 | |
| 8 | 2021 | 15 | |
| 9 | 2023 | 11 | |
| 10 | 2022 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2025 | 2 | |
| 13 | Research on etiology of acute respiratory tract infection in children from Wuhan during winter and spring | 2012 | 1 |
| 14 | 2024 | 1 | |
| 15 | 2025 | 0 |
About Sha Chen
Sha Chen is a scholar working on Molecular Biology, Epidemiology, Obstetrics and Gynecology, Immunology and Cancer Research, having authored 15 papers that have together received 464 indexed citations. Recurring topics across this work include Advanced Glycation End Products research (2 papers), Pregnancy and preeclampsia studies (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Autophagy in Disease and Therapy (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), MicroRNA in disease regulation (1 paper), Acute Ischemic Stroke Management (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Obstetrics and Gynecology (48 citations), Cancer Research (79 citations), Immunology (100 citations), Cell Biology (72 citations) and Epidemiology (98 citations). Sha Chen has collaborated with scholars based in China. Frequent co-authors include Yu Liu, Zhengmao Li, Hongyu Zhang, Xiaoxia Kong, Yongsheng Gong, Ran Chen, Hailin Zhang, Feng Xue, Dan Chen and Weiwei Cheng. Their work appears in journals such as PLoS ONE, Chemical Engineering Journal, Acta Obstetricia Et Gynecologica Scandinavica, Life Sciences and Cell Proliferation.
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.