Yan Chen
- Cancer Research top 5%
- MicroRNA in disease regulation 15
- Cancer-related molecular mechanisms research 10
- Molecular Biology top 5%
- Circular RNAs in diseases 7
- Oncology top 5%
- Cancer Cells and Metastasis 11
- Cancer-related Molecular Pathways 6
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies 8
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- Heavy Metal Exposure and Toxicity 6
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- Birth, Development, and Health 6
- Co-authors
- Jian LiuMingting TianChristine A. KozakAnton MestekYi FanLei YuZhugang WangRebecca L. Skalsky
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yan Chen
175 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 155
- Cancer Research 563
- Cellular and Molecular Neuroscience 525
- Molecular Biology 1.5k
- Oncology 577
- Obstetrics and Gynecology 146
Countries citing papers authored by Yan Chen
This map shows the geographic impact of Yan 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 Yan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Chen more than expected).
Fields of papers citing papers by Yan Chen
This network shows the impact of papers produced by Yan 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 Yan Chen. The network helps show where Yan Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yan 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 8 | |
| 4 | 2023 | 24 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 16 | |
| 9 | 2021 | 40 | |
| 10 | 2020 | 11 | |
| 11 | 2019 | 13 | |
| 12 | 2018 | 1 | |
| 13 | 2017 | 63 | |
| 14 | 2016 | 93 | |
| 15 | 2016 | 1 | |
| 16 | Comparative Analysis on Growth Curve Fitting of Three Types of Goose | 2014 | 1 |
| 17 | 2012 | 114 | |
| 18 | 2010 | 89 | |
| 19 | The change of serum and urinary transforming growth factor-beta-1 and their clinical significances in type 2 diabetics | 2005 | 1 |
| 20 | Clinical effects of repaglinide on type 2 diabetes mellitus | 2002 | 1 |
About Yan Chen
Yan Chen is a scholar working on Cancer Research, Obstetrics and Gynecology, Oncology, Developmental Neuroscience and Archeology, having authored 187 papers that have together received 3.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (15 papers), Cancer Cells and Metastasis (11 papers), Cancer-related molecular mechanisms research (10 papers), Pregnancy and preeclampsia studies (8 papers), Circular RNAs in diseases (7 papers), Cancer-related Molecular Pathways (6 papers), Heavy Metal Exposure and Toxicity (6 papers) and Birth, Development, and Health (6 papers). The work is most often cited by research in Cancer Research (563 citations), Cellular and Molecular Neuroscience (525 citations), Molecular Biology (1.5k citations), Oncology (577 citations) and Obstetrics and Gynecology (146 citations). Yan Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jian Liu, Mingting Tian, Christine A. Kozak, Anton Mestek, Yi Fan, Lei Yu, Zhugang Wang, Rebecca L. Skalsky, Deyue Yan and Xinyuan Zhu. Their work appears in journals such as PLoS ONE, Poultry Science, Cellular Immunology, PLoS Pathogens and Scientific Reports.
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.